Applied AI Digest 118


Work with Us!

BootstrapLabs is looking for a collaborative and detail-oriented digital marketer to work with our core team.

If learning the ins and outs of the Venture Capital industry, meeting incredible founders and leading projects with world-class AI experts sound exciting to you then follow the link and apply now!


AAI18 Panel – Applied AI in FinTech: Faster, Cheaper, Better?

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed AI in finance technology, data privacy and security, interpretability of algorithms and the need for a strong relationship with regulators.


Researchers developed an AI to detect DeepFakes

A team of researchers from the State University of New York (SUNY) recently developed a method for detecting whether the people in a video are AI-generated. It looks like DeepFakes could meet its match. Read more.

AI and the Economy

We review the evidence that artificial intelligence (AI) is having a large effect on the economy. Across a variety of statistics—including robotics shipments, AI startups, and patent counts—there is evidence of a large increase in AI-related activity. We also review recent research in this area which suggests that AI and robotics have the potential to increase productivity growth… Read more.

High-Level Group on Artificial Intelligence

Following an open selection process, the Commission has appointed 52 experts to a new High-Level Expert Group on Artificial Intelligence, comprising representatives from academia, civil society, as well as industry. The AI HLG will have as a general objective to support the implementation of the European strategy on AI. This will include the elaboration of recommendations on future AI-related policy development and on ethical, legal and societal issues related to AI, including socio-economic challenges. Read more.

This company tames killer robots

A seven-foot-tall robot arm moves in a blur, carrying a piece of metal about the size of a bowling ball from one workbench to another at superhuman speed. But when a human worker reaches for the piece, the robot goes into slow motion and then eventually stops. As soon as the person steps away, the robot speeds up again. Read more.

Could Artificial Intelligence Take the Art out of Medicine?

As health care becomes more complex, technological and data-driven, there’s a risk physicians will lose some of their autonomy. It has been said that the practice of medicine is both an art and a science. For example, different patients react differently to the same medication for the treatment of anxiety, and what works for one patient will not work for another. Read more.

China’s Eating Up US Drone Market; U.S. Troops At Risk

While Washington struggles to update its arms export policies, China is spreading its influence, one drone sale at a time. U.S. forces are at increasing risk as China and other nations sell more armed drones to anyone with the money to pay for them, and restrictive U.S. export policies may be making the situation worse, says a new report delivered to the Chairman of the Joint Chiefs. Read more.


Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

UnitQ: Natural Language Processing and Machine Learning Engineer

UnitQ: Software Engineer Back End Developer

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

See more job opportunities.


2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.


Applied AI Digest 117


2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.


Machine Learning (Theory)

We are clearly not in a steady-state situation. Is this a bubble or a revolution? The answer surely includes a bit of revolution—the fields of vision and speech recognition have been turned over by great empirical successes created by deep neural architectures and more generally machine learning has found plentiful real-world uses. Read more.

Why Diversity in the Artificial Intelligence Sector Is Critical

Artificial intelligence offers limitless potential for the financial industry, but at Fortune‘s MPW International Summit on Tuesday Mastercard vice chairman Ann Cairns also called attention to some of its existential risks. Cairns had recently been in China, where she said it was clear to her that AI was taking off there in a big way—just as it has in Silicon Valley. Read more.

AI at Google: our principles

Machine learning is increasingly moving from hand-designed models to automatically optimized pipelines using tools such as H20, TPOT, and auto-sklearn. These libraries, along with methods such as random search, aim to simplify the model selection and tuning parts of machine learning by finding the best model for a dataset with little to no manual intervention. Read more.

Chatbots Were the Next Big Thing: What Happened?

Chatbots were The Next Big Thing. Our hopes were sky high. Bright-eyed and bushy-tailed, the industry was ripe for a new era of innovation: it was time to start socializing with machines. And why wouldn’t they be? All the road signs pointed towards insane success… Read more.

Real-world AI

Unsure where or how AI applies to your company? The McKinsey Global Institute found more than 400 real-life examples where AI can improve longstanding business challenges. Read more.

Why the Future of Machine Learning is Tiny

When Azeem asked me to give a talk at CogX, he asked me to focus on just a single point that I wanted the audience to take away. A few years ago my priority would have been convincing people that deep learning was a real revolution, not a fad, but there have been enough examples of shipping products that that question seems answered. Read more.


Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

UnitQ: Natural Language Processing and Machine Learning Engineer

UnitQ: Software Engineer Back End Developer

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

See more job opportunities.


AAI18 Panel – Applied AI in FinTech: Faster, Cheaper, Better?

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed AI in finance technology, data privacy and security, interpretability of algorithms and the need for a strong relationship with regulators.


BootstrapLabs AAI18 Panel – Applied AI in FinTech: Faster, Cheaper, Better?

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Moderator: Ash Fontana, Managing Director, Zetta Venture Partners

Speakers:

  • Sangeeta Chakraborty, Chief Customer Officer, Ayasdi
  • Shaunak Khire, Co-Founder and CEO, EmmaAI
  • Ashish Bansal, Sr. Director – Data Science, Capital One
  • Xavier Legros, VP – Product Development & Science , Trusted Insight

During this session, the panelists discussed AI in finance technology, data privacy and security, interpretability of algorithms and the need for a strong relationship with regulators.

Some of the key takeaways from the session are:

  • For AI to deliver value in FinTech, interpretability and explainability are important, you need to be able to prove where your model comes from and have strong documentation.
  • You need to make sure the right controls and processes are in place to ensure data privacy and security.
  • Developing a strong relationship with regulatory agencies is key to make sure your model is unbiased and explainable and be able to influence regulators into adopting better, more complicated models.

About Ash Fontana:
Ash joined Zetta Venture Partners – the first venture capital fund focused on intelligent systems – with Mark Gorenberg at the time it launched. Ash is a board member of and lead investor in companies such as Kaggle, Invenia, Clearbit, Tractable and Focal Systems. Before Zetta, Ash started the money side of AngelList, launching online investing, managing $130M over more than 250 funds, creating the first startup ‘index fund’ and more. Ash previously co-founded Topguest, a Founders Fund-backed company that built customer analytics technology.

About Sangeeta Chakraborty:
Sangeeta is the Chief Customer Officer at Ayasdi. Prior to Ayasdi, Sangeeta built multiple professional services practices across a number of successful startups including Digital Fuel (acquired by VMWare), Inquira (acquired by Oracle) and Interwoven. Sangeeta began her career in consulting with Tata, Fujitsu and Vitria.

About Shaunak Khire:
Shaunak Khire, is the co­founder & CEO of Emma/MANSI, an explainable AI for the financial markets. Shaunak started out as a mobile security consultant at British Telecom focusing on vulnerabilities in bluetooth standards. Previously Shaunak was a Board Member of a private equity backed DMP (data management platform), he has also served on the global board of the Mobile Marketing Association. Shaunak was a part of the Clinton Global Initiative tech & poverty alleviation groups and built the MaghaCGI30 Index a social impact index that weighs constituents based on CSR metrics. He is a contributor for TechCrunch and has been on MIT Technology Review’s 35 under 35 list in 2012.

About Ashish Bansal:
Ashish is a Senior Director of Data Science at Capital One. He uses AI/ML to generate insights from vast amounts of data and build interesting B2B, B2C and Enterprise products. He manages a product portfolio of 5+ products. Prior to Capital One, he co-founded GALE Partners and headed the Machine Learning group, building AI/ML based marketing automation products. He helped the company grow from 9 to 120 and setup the India office. Overall, he has over 18 years of experience in the technology industry, along with an MBA from Kellogg School of Management and B Tech from IIT BHU.

About Xavier Legros:
Xavier is the VP of Product and Science at Trusted Insight. He’s responsible for bringing machine learning to the world of alternative asset management – Currently focusing on VC and Credit Markets. He is continuously improving the #1 social network for CIOs and alternative assets managers through Trusted Insight platform website and mobile experiences.

Applied AI Digest 116


2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.


AI researchers are halting work on human-like machines

Artificial intelligence researchers, who have seen little recent progress toward the creation of a machine that thinks like a human, have largely halted such work in favor of applying what’s been discovered so far, says a leading AI expert. Read more.

Why thousands of AI researchers are boycotting the new Nature journal

Budding authors face a minefield when it comes to publishing their work. For a large fee, as much as $3,000, they can make their work available to anyone who wants to read it. Or they can avoid the fee and have readers pay the publisher instead. Often it is libraries that foot this bill through expensive annual subscriptions. This is not the lot of wannabe fiction writers, it’s the business of academic publishing. Read more.

Automated Feature Engineering in Python

Machine learning is increasingly moving from hand-designed models to automatically optimized pipelines using tools such as H20, TPOT, and auto-sklearn. These libraries, along with methods such as random search, aim to simplify the model selection and tuning parts of machine learning by finding the best model for a dataset with little to no manual intervention. Read more.

The (holy) ghost in the machine: Catholic thinkers tackle the ethics of artificial intelligence

At first glance, Pope Francis’s January message to a cadre of business and political leaders gathered at this year’s World Economic Forum in Davos, Switzerland, appeared largely focused on the plight of the poor – a hallmark of his papacy. But it also contained a reference to an unusual topic for a pontiff: artificial intelligence… Read more.

For all the hype, AI still hasn’t impacted the US economy

There’s a suspicious absence of what many economists have expected from the AI boom happening in the US: a lift in productivity, and maybe a catastrophic loss of jobs. Despite all the hype about AI redefining businesses and industries, a new report analyzing AI’s impact on the US economy, published May 29, says it’s still too early to tell what kind of impact the technology might have. Read more.

Bridges and LIDAR

In 1999, when WAP was the future of mobile, the industry group behind SIM cards worked out a way to use the programmable space on a SIM to build a complete WAP browser. This meant that instead of having to wait for consumers to buy new phones with WAP built-in, mobile operators could push a WAP browser onto every phone already in use over the air and get people to start using these services straight away. Read more.


Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

See more job opportunities.


AAI18 Keynote & Fireside Chat – How AI Is Transforming the Media

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed the future of AI and the media, how it’ll empower journalists and generate new revenue streams for localized reporting.


BootstrapLabs AAI18 Keynote and Panel – Savior or Destroyer? How AI is transforming the Media

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Moderator & Keynote Speaker: Alex Salkever, Author, “Driver in the Driverless Car: How Our Technology Choices Can Change The Future”

Speakers:

  • Robbie Allen, CEO, Infinia ML / Executive Chairman, Automated Insights
  • Gilad Lotan, VP – Head of Data Science, BuzzFeed

During this session, the panelists discussed the future of AI and the media, how it’ll empower journalists and generate new revenue streams for localized reporting.

Some of the key takeaways from the session are:

  • We’re already consuming content that’s generated with Artificial Intelligence like sports and election results. But AI is still limited in terms of content creation, it’ll take another 10 years for AI to write a high school essay.
  • We need to keep our priorities straight and optimize for the right metrics, optimizing for something like CTR can lead to polarization.
  • AI will give reporters superpowers, they’ll be able to write stories and leverage data in ways that was impossible without technical skills.

About Alex Salkever:
Alex Salkever is a writer, futurist and technology leader. He is the co-author with Vivek Wadhwa of “The Driver in the Driverless Car: How Our Technology Choices Can Change the Future”. The book was named as a Finalist in the 2017 McKinsey / Financial Times Book of the Year Competition. He previously served as the Technology Editor at BusinessWeek.com and as a Guest Researcher at the Duke University Pratt School of Engineering. His first book, “The Immigrant Exodus: Why America Is Losing the Global Race to Capture Entrepreneurial Talent” was named a Book of the Year by The Economist in 2012. Alex has served as a senior executive at a host of Silicon Valley startups in green technology, data science, open government, and cloud computing. He speaks regularly at industry conferences, universities and schools and to corporations and Boards of Directors.

About Robbie Allen:
Robbie Allen is the CEO of Infinia ML, which helps enterprise organizations implement ML solutions. Previously, he founded and led Automated Insights, whose natural language generation software helped automate content production for The Associated Press, Yahoo!, and others. Robbie has authored or coauthored 10 books and has spoken at multiple conferences including: O’Reilly AI Conference, Strata, SXSW, and the MIT Sloan CIO Symposium. He holds two Master’s degrees from MIT and is completing his Ph.D. in CS at UNC-Chapel Hill.

About Gilad Lotan:
Gilad is the Head of Data Science at BuzzFeed where he leads a team that’s tasked with building state of the art analytics and data products to support entertainment, news, business and tech. Previously Gilad led Data Science at beta works, and built data products and Microsoft. Gilad’s work has been covered across a wide range of academic journals and publications, most recently focused on propaganda and bias within algorithmic ranking systems.

Applied AI Digest 115


Sold Out – BootstrapLabs Applied AI Insiders Series

We’ve officially sold out for the BootstrapLabs Applied AI Insiders Series. We’re excited to hear our extraordinary panel to take you through the current state of AI and Human/Computer Interaction:

Ben Levy, Co-Founder, BootstrapLabs
Igor Jablokov, Founder, Pryon
Mark J. Nitzberg, Executive Director, Center for Human Compatible AI – UC Berkeley
Omar Abdelwahed, Head of Studio, SoftBank Robotics America

This is an INVITATION ONLY</strong event, you can request an invite for our future events below.


Study: Early AI adopters may gain “insurmountable advantage”

A pecking order is evolving in the newest stage of the digital era: aggressive early adopters of artificial intelligence are reporting elevated earnings and may be forming “an insurmountable advantage” over rivals, according to the McKinsey Global Institute. Read more.

Navigating the risks of artificial intelligence and machine learning in low-income countries

On a recent work trip, I found myself in a swanky-but-still-hip office of a private tech firm. I was drinking a freshly frothed cappuccino, eyeing a mini-fridge stocked with local beer and standing amidst a group of hoodie-clad software developers typing away diligently at their laptops against a backdrop of Star Wars and xkcd comic wallpaper. I wasn’t in Silicon Valley: I was in Johannesburg… Read more.

Apple, Spurned by Others, Signs Deal With Volkswagen for Driverless Cars

SAN FRANCISCO — Apple once had grand aspirations to build its own electric self-driving car and lead the next generation of transportation. Over time, the tech giant’s ambitions ran into reality. So Apple curtailed its original vision, first by focusing on software for self-driving cars and then by working solely on an autonomous shuttle for its own use with employees. Read more.

Automation Will Make Lifelong Learning a Necessary Part of Work

President Emmanuel Macron together with many Silicon Valley CEOs will kick off the VivaTech conference in Paris this week with the aim of showcasing the “good” side of technology. Our research highlights some of those benefits, especially the productivity growth and performance gains that automation and artificial intelligence can bring to the economy — and to society more broadly… Read more.

Tech’s Next Big Wave: Big Data Meets Biology

It Began in December, with CVS’s proposed $69 billion buyout of insurer Aetna. In January, three more corporate behemoths—Amazon, JPMorgan Chase, and Berkshire Hathaway — said they were forming a joint venture aimed at reducing health care costs and improving outcomes for their combined 1 million or so employees. Then, in March, Cigna said it would buy pharmacy benefits manager Express Scripts for more than $50 billion. Read more.


Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

dataalab: Frontend Software Engineer

See more job opportunities.


2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.


AAI18 Panel – Enterprise AI Applications and the Future of Work

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed the future of work and how Artificial Intelligence will change workflows, job functions and even our priorities at work.


Applied AI Digest 114


Last Chance to Register for the BootstrapLabs Applied AI Insiders Series

Less than 10 tickets left for our Applied AI Insiders Series event! We will explore the benefits of interfaces using speech, gestures and even body language, but also share thoughts on some of the biggest challenges facing broader adoption of this technology.

To get us to the next phase in human-computer collaboration, these systems must gather and analyze countless information on users, but how do we ensure privacy and secure that sensitive data?

This event is INVITE ONLY. If you did not receive an invitation you can request one below.


San Francisco Wants to Use Algorithms to Clear Thousands of Marijuana Convictions From the Record

The San Francisco District Attorney’s office is partnering with Code for America to trial a new algorithm to hasten clearing marijuana convictions. California’s landmark Proposition 64 opened the door for people with old marijuana convictions to petition to have the charges removed from their record. The algorithm would automatically review the petitions and associated criminal record. Read more.

Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

Carnegie Mellon University’s School of Computer Science will offer a new undergraduate degree in artificial intelligence beginning this fall, providing students with in-depth knowledge of how to transform large amounts of data into actionable decisions. SCS has created the new AI degree, the first offered by a U.S. university, in response to extraordinary technical breakthroughs in AI… Read more.

This Man Is the Godfather the AI Community Wants to Forget

Many of the biggest names in the technology industry are consumed with developing an artificial general intelligence, or AGI. Unlike today’s leading artificial intelligence software, an AGI wouldn’t need flesh-and-blood trainers to figure out how to translate English to Mandarin or spot tumors in an X-ray. Read more.

AI and Compute

We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.5 month-doubling time (by comparison, Moore’s Law had an 18-month doubling period). Since 2012, this metric has grown by more than 300,000x (an 18-month doubling period would yield only a 12x increase). Read more.

AI in the Accounting Big Four – Comparing Deloitte, PwC, KPMG, and EY

Deloitte, EY, PwC and KPMG are among the largest service providers in the accounting industry— collectively referred to as the Big Four. Many of the financial and consulting services offered by these firms – such as advising on investment decisions – involve finding patterns in very large sets of data. This data is often beyond the understanding of a single person… Read more.

Essential Cheat Sheets for Machine Learning and Deep Learning Engineers

Learning machine learning and deep learning is difficult for newbies. As well as deep learning libraries are difficult to understand. I am creating a repository on Github (cheatsheets-ai) with cheat sheets which I collected from different sources. Do visit it and contribute cheat sheets if you have any. Read more.


Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

dataalab: Frontend Software Engineer

See more job opportunities.


AAI18 Panel – Enterprise AI Applications and the Future of Work

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed the future of work and how Artificial Intelligence will change workflows, job functions and even our priorities at work.


Applied AI Digest 113


Announcing the BootstrapLabs Applied AI Insiders Series

During our May Applied AI Insiders Series event, we will explore practical ways AI is being applied to different Human/Computer interfaces, moving us beyond touch and closer to how we interact with other humans – using speech, gestures and even body language.

This event is INVITE ONLY. If you did not receive an invitation you can request one below.


Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone

A long-standing goal of human-computer interaction has been to enable people to have a natural conversation with computers, as they would with each other. In recent years, we have witnessed a revolution in the ability of computers to understand and to generate natural speech, especially with the application of deep neural networks. Read more.

10 Promising AI Applications in Health Care

There’s a lot of excitement right now about how artificial intelligence (AI) is going to change health care. And many AI technologies are cropping up to help people streamline administrative and clinical health care processes. According to venture capital firm Rock Health, 121 health AI and machine learning companies raised $2.7 billion in 206 deals between 2011 and 2017. Read more.

Tesla Considered Adding Eye Tracking and Steering-Wheel Sensors to Autopilot System

Long before the fatal crash of a Tesla car in March, some developers of the vehicle’s Autopilot system expressed concern there weren’t enough safeguards to ensure drivers remained attentive, people familiar with the discussions said… Read more.

5 Ways To Ensure AI Unlocks Its Full Potential To Serve Humanity

We’re in a defining moment for the intelligent age. Artificial intelligence will be the great general-purpose technological advance of our time. Born of advances in computing power and an explosion of data, AI will meaningfully impact every major industry, expanding the global economy by trillions of dollars. Read more.

Why It Pays To Be An Early Adopter Of AI

One reason they’re disadvantaging themselves is that AI is a process, not a one-off technology solution. AI applications are only as good as the data that is fed to them over time, and as a result, the true gains, such as higher revenue, lower customer churn and more productive staff, take time to materialize. Read more.

Forget the space race, the AI race is just beginning

The United States and China currently dominate the world of artificial intelligence, but used very different approaches to get there. While the US’s academic system has generated and incubated the research that made today’s AI possible, China’s government has pledged billions in funding and offered the technology its full-throated support. Read more.


Job Opportunities:

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

dataalab: Frontend Software Engineer

See more job opportunities.


AAI18 Keynote – AutoML: The Future of Machine Learning

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, Alex Holub discussed the future of Machine Learning, Automated Machine Learning and the notion of Master Algorithms.


BootstrapLabs AAI18 Panel – Enterprise AI Applications and the Future of Work

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Moderator: Andrew Salzman, Partner, Chasm Group

Speakers:

  • Igor Jablokov, Founder and CEO, Pryon Inc
  • Matt Swanson, CEO, Augment
  • Nisha Talagala, Chief Technology Officer, ParallelM
  • Sabrina Atienza, Founder, Qurious.io

During this session, the panelists discussed the future of work and how Artificial Intelligence will change workflows, job functions and even our priorities at work.

Some of the key takeaways from the session are:

  • There’s tremendous opportunity for AI to be leveraged in different organizations and even those implemented to improve a process by 1% in a Fortune 500 Company can have huge impact.
  • AI will create new types of jobs and add value to augment existing systems rather than fully replace/automate them.
  • The future of our work will primarily consist of interacting with other humans, strategizing, designing and other creative topics, while the monotonous parts will increasingly see automation.

About Andrew Salzman:
Andrew has enjoyed a distinguished career working with enterprises seeking to transition disruptive technologies into growth businesses. As a member of Chasm Group, he works with cross functional teams to identify their best strategic growth pathways. Andrew served as a senior operating executive over a 25 year career in the US, Europe, and Japan, with CMO roles at Oracle/ Siebel Systems, HP/Compaq, Information Resources, Saba, and Kodak.

About Igor Jablokov:
Igor is founder and CEO of Pryon, a stealth startup in the field of artificial intelligence. He also serves as an EIR for Blackstone NC, an initiative to accelerate the commercialization of academic research. Previously, Igor was founder and CEO of Yap, a VC-backed startup that pioneered cloud-based speech recognition. It was acquired by Amazon to act as the nucleus of AI-related products such as Alexa, Echo, and Fire TV.

About Matt Swanson:
Matt Swanson is the founder and CEO of Augment, a customer experience-driven AI platform, and is responsible for driving the strategic direction and vision of the company. He also serves as the managing partner of Silicon Valley Software Group. Prior to Augment, he co-founded SpeakerText in 2010 and served as its CTO before the company was acquired by CloudFactory. Matt received his M.S. in CS and Robotics from Carnegie Mellon University.

About Nisha Talagala:
Nisha Talagala is CTO/VP of Engineering at ParallelM, focusing on Production Machine Learning and Deep Learning. Nisha was previously a Fellow at SanDisk and Fellow/Lead Architect at Fusion-io. Nisha has more than 15 years of expertise in software development and distributed systems. Nisha earned her PhD in Computer Science at UC Berkeley and holds 54 patents in software, distributed systems, storage and related areas.

About Sabrina Atienza:
Sabrina is excited about leveraging the latest technology in new ways to solve massive, deeply entrenched problems. She trained in Computer Science and Physics at UC Berkeley. Prior to Qurious, Sabrina was a software engineer at Tealeaf (acquired by IBM) and software development consultant for tech companies. Her favorite reads are “The Power and the Glory” by Graham Greene and “The Way of Zen” by Alan Watts.

BootstrapLabs AAI18 Keynote – AutoML: The Future of Machine Learning

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Speaker: Alex Holub, Founder, Vidora

If you want to check out the slides used by the speaker follow this link.

During this session, Alex Holub discussed the future of Machine Learning, Automated Machine Learning and the notion of Master Algorithms.

Some of the key takeaways from the session are:

  • All machine learning implementations within an organization have to go through 4 fundamental steps: pre-processing, feature cleaning, feature engineering, and modeling.
  • Metalearning, having the machine learning system learn from the raw data as it goes through the different possibilities of pre-processing, feature cleaning, feature engineering and modeling techniques.
  • Leveraging Master Algorithms that can deal with raw data and figure out the best path will give everyone access to building these complex machine learning models without having written a single line of code.

About Alex Holub:
Alex is the Co-Founder and CEO of Vidora, a leading ML company working with companies like News Corp, Walmart, and Yahoo! Japan. Prior to co-founding Vidora, Alex was a technical and product management lead at Ooyala. He has published over 15 academic papers and holds numerous patents in the areas of ML, computer vision, and AI. Alex studied artificial intelligence throughout his academic career at Cornell University and during his Ph.D at Caltech.

About Vidora:
Vidora provides a self-service, point and click machine learning platform to some of the largest global companies including News Corp, Walmart, and Yahoo! Japan. Vidora’s technology leverages automated techniques for feature cleaning, feature engineering, and model selection to enable non-technical users to use Machine Learning. Vidora’s founders include graduates and PhDs from Stanford, Berkeley, and Caltech. Learn more about Vidora at https://www.vidora.com/

City of Malmö Hosts BootstrapLabs’ Founder Nicolai Wadstrom

Malmö, Sweden – May 8, 2018 – BootstrapLabs Founder and CEO, Nicolai Wadstrom was honored to be invited to speak at Malmö’s legendary Palladium during the city’s 07:07AM quarterly Breakfast with Entrepreneurs.

During Nicolai’s session “AI, Silicon Valley and Malmö! he shared his unique insights in what is happening within Artificial Intelligence, why it is happening now and what lies ahead. He also provided some guidelines on how business leaders can prepare their organizations for the technology shift.

nicolai_wadstrom_malmo_event

The business community in Malmö was hungry to learn more about AI and BootstrapLab, the organizers opened up extra tickets and ended up with 500+ registered attendees.

nicolai_wadstrom_malmo_event

07:07 am is a forum where entrepreneurs meet other entrepreneurs and share knowledge and experience. Each meeting has a theme and hand picked speakers for that particular topic. 07:07 am is also an opportunity to meet Malmö city politicians and civil servants.

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Applied AI Digest 112


Facebook helped create an AI scavenger hunt that could lead to the first useful home robots

Artificial-intelligence programs could develop some much-needed common sense by competing in scavenger hunts inside virtual homes filled with simulated coffee tables, couches, lamps, and other everyday things. Researchers at Facebook and Georgia Tech developed the scavenger-hunt challenge. Read more.

Quantum Supremacy is Near

Can you imagine being able to solve complex problems almost instantaneously? What would normally take months would take minutes. Seemingly impossible questions would become straightforward to answer. In the world of quantum computing, we are close to doing just that. Read more.

Uber’s self-driving car saw the pedestrian but didn’t swerve – report

An Uber self-driving test car which killed a woman crossing the street detected her but decided not to react immediately, a report has said. The car was travelling at 40mph (64km/h) in self-driving mode when it collided with 49-year-old Elaine Herzberg at about 10pm on 18 March… Read more.

When Will Artificial Intelligence Become Easier to Use?

In this week’s episode of AI in Industry we speak with DataRobot CEO Jeremy Achin about the future of AI applications for people without a data science background. We specifically discuss how future AI tools might bypass the complexity of machine learning programming and make intuitive interfaces that function more like today’s everyday software. Read more.

Google showcases AI advances at its big conference

Google put the spotlight on its artificial intelligence smarts at its annual developers conference Tuesday, where it announced new features and services imbued with machine learning. The company’s digital concierge, known only as the Google Assistant, is gaining new — if experimental — abilities to handle tasks such as making restaurant reservations and placing other tedious phone calls without human hand-holding. Read more.

Forget the space race, the AI race is just beginning

The United States and China currently dominate the world of artificial intelligence, but used very different approaches to get there. While the US’s academic system has generated and incubated the research that made today’s AI possible, China’s government has pledged billions in funding and offered the technology its full-throated support. Read more.


Job Opportunities:

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

dataalab: Frontend Software Engineer

See more job opportunities.


Announcing the BootstrapLabs Applied AI Insiders Series: Human and Computer Interaction – Moving Beyond Touch

BootstrapLabs Applied AI Insiders Human Computer Interaction

BootstrapLabs is thrilled to announce the Applied AI Insiders Series: Human and Computer Interaction – Moving Beyond Touch.

Event Summary:

  • Date and Time: Thur, May 31, 2018| 5:30 pm to 8:30 pm
  • Location: The Google Launchpad Space, 345 Spear St 5th Floor, San Francisco, California 94105
  • Registration:this event is INVITE ONLY. If you did not receive an invitation you can request one below.

 

 

Event Description

Topic: Human and Computer Interaction – Moving Beyond Touch

We stand in front of the 4th and largest wave of the industrial revolution, powered by Artificial Intelligence and Data. This is the biggest opportunity so far for innovation and entrepreneurship, and every single industry will be disrupted and redefined by companies that are not yet even born.

With the AI economic impact projected to reach $15 Trillion by 2030, we believe Applied Artificial Intelligence represents one of the major wealth creation opportunities of this century.

The interaction between Humans and Computers has been in constant evolution. Until the invention of touch screens, our connection with these devices was indirect and relied on additional equipment like a keyboard, screen, stylus, and mouse. It was only a matter of time until AI would be leveraged to radically change that connection, and move us closer to what Dr. J.C.R. Licklider, the pioneering psychologist and computer scientist, forecasted in 1963, a human-computer partnership.

During our May Applied AI Insiders Series event, we will explore practical ways AI is being applied to different Human/Computer interfaces, moving us beyond touch and closer to how we interact with other humans – using speech, gestures and even body language. Sensors that can understand our unique appearance, gestures, emotions or vital signs, voice-enabled interfaces that can hear and “understand” what we say, and even prosthetics that can interact with the electrical impulses our brains uses to control our body, are just some examples of where we’re heading.

We will explore the added benefits of these interfaces, but also share thoughts on some of the biggest challenges facing broader adoption of this technology. To get us to the next phase in human-computer collaboration, these systems must gather and analyze countless information on users, but how do we ensure privacy and secure that sensitive data?

As a VC focused on Applied AI, BootstrapLabs looks beyond the hype and has assembled an extraordinary panel of speakers to take you through the current state of AI and Human Computer Interaction. Read more.

Speakers

Ben Levy, Co-Founder, BootstrapLabs

Ben spent the last 20 years in Silicon Valley building and exiting two FinTech startups to Mergent and NASDAQ, investing in disruptive software technologies, and advising CxOs of Fortune 500 Telecom, Media and Technology companies on corporate strategy, financing and M&A.
Ben is a member of the Association for the Advancement of Artificial Intelligence (AAAI), an Ambassador of La FrenchTech, as well as a frequent keynote speaker at industry conferences on innovation, technology investing, entrepreneurship, artificial intelligence, and globalization in the US, Europe, and Asia.

Igor Jablokov, Founder, Pryon

Igor is founder and CEO of Pryon, a stealth startup in the field of artificial intelligence. He also serves as an EIR for Blackstone NC, an initiative to accelerate the commercialization of academic research. He was awarded the Eisenhower and Truman National Security Fellowships to research the connection between government and venture capital in fostering innovation.

Previously, Igor was founder and CEO of Yap, a VC-backed startup that pioneered cloud-based speech recognition. It was acquired by Amazon to act as the nucleus of AI-related products such as Alexa, Echo, and Fire TV. He holds over two dozen patents issued and pending and was named an industry luminary by Speech Technology Magazine. Igor holds a BS in Computer Engineering from The Pennsylvania State University and an MBA from The University of North Carolina.

Mark Nitzberg, Executive Director, Center for Human Compatible AI – UC Berkeley

Dr. Mark J. Nitzberg is currently Executive Director of the Center for Human Compatible Artificial Intelligence as well as head of strategic outreach for the Berkeley AI Research Lab at the University of California, Berkeley. Founded in late 2016, the UC Berkeley Center for Human-Compatible Artificial Intelligence (CHAI) aims to reorient the field of AI towards creating systems that are provably safe and beneficial to humans.

Dr. Nitzberg is also the co-author of “Solomon’s Code” and also serves as Principal & Chief Scientist at Cambrian.ai, as well as advisor to a number of startups. Most recently he was Director of Computer Vision Products at A9/Amazon following their acquisition of The Blindsight Corporation, where he was founding CEO. An entrepreneur, scientist, and seasoned organizational leader, Dr. Nitzberg has built companies and products in the areas of computer vision, machine learning, financial portfolio optimization, workflow efficiencies, online commerce, development aid, data capture, analytics, film, and theatre.

Dr. Nitzberg began studying AI with Marvin Minsky as a stowaway student at MIT in the “expert systems” wave of the early 1980’s, and wrote his Ph.D. on Computer Vision and Human Perception in 1991 under David Mumford at Harvard University.

Omar Abdelwahed, Head of Studio, SoftBank Robotics America

Omar Abdelwahed is a producer, engineer and currently the Head of Studio at SoftBank Robotics America. Omar has more than 15 years experience leading teams for large video game publishers including Ubisoft and 2K; independent developers like Mighty Play and PLAYSTUDIOS; and retailers such as Best Buy. Omar’s work includes the free-to-play shooter, “Ghost Recon Phantoms,” and the NBA video game franchise, “NBA2K”. Omar founded the independent games developer, Agent Disco, where he published his first mobile game, “The Null Society”.

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Applied Artificial Intelligence Newsletter

Applied-AI-Digest

Applied AI Digest 111


Investment in artificial intelligence is essential for our future health

Artificial intelligence may still be in its infancy, but it’s moving fast. Nowhere is this more apparent than in the data-rich health sector. AI has the potential to provide more precise, personalised care, as well as help us to shift our focus from treatment to prevention and tackle some of the world’s biggest global health issues. Read more.

Using AI to trace leaking pipes

OLD hands at some water companies still on occasion whip out a pair of dousing rods or find a Y-shaped twig to search for a leak in an underground pipe. Dousing, or water witching as it is known in America, has no basis in scientific fact. Read more.

A list of artificial intelligence tools you can use today — for personal use

Artificial Intelligence and the fourth industrial revolution has made some considerable progress over the last couple of years. Most of this current progress that is usable has been developed for industry and business purposes, as you’ll see in coming posts. Research institutes and dedicated, specialised companies are working toward the ultimate goal of AI (cracking artificial general intelligence)… Read more.

Artificial intelligence company sees 21st century breakthroughs

C3 IoT, an artificial intelligence (AI) and internet of things company, is looking to transform agriculture, aircraft maintenance and manufacturing processes. “New breakthroughs in information technology in the area of predictive analytics should dramatically change the way people deal with customers, the way they manufacture products, the way they deliver services,” C3 IoT founder and CEO Tom Siebel said Monday during an interview with Liz Claman on FOX Business. Read more.

ScienceAlert Deal: Here’s How to Master AI And Machine Learning

We’re living the middle of a golden data age where our best and brightest are leveraging Artificial Intelligence technologies to create self-driving cars, facial recognition tools, and smart assistants that straddle the line between science and science fiction. Read more.


Job Opportunities:

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

dataalab: Frontend Software Engineer

See more job opportunities.


Applied AI Digest 110


The IMF has few answers on AI. It must urgently address this failing

Here’s the good news on artificial intelligence (AI). According to a new report by the House of Lords select committee on AI, the UK is already in an exceptionally strong position. “Britain contains leading AI companies, a dynamic academic research culture, a vigorous start-up ecosystem and a constellation of legal, ethical, financial and linguistic strengths located in proximity to each other,” the committee concludes. Read more.

Predictive Maintenance for Trains and Mobile Heavy Industry – with Will McGinnis of Predikto

In the heavy industry sector, the cost of unpredicted repairs or machine failures can be very expensive. For example: A cargo train with an engine failure in will incur costs from its own repairs, from the transit required to reach the broken down engine, and with holding up other trains and cargo in the process. Read more.

Simon Moss on using artificial intelligence to fight financial crimes

In this episode of the O’Reilly Podcast, I talk with Simon Moss, vice president of industry consulting and solutions, Americas, at Teradata. We discuss how machine learning and deep learning techniques are being used to fight financial crimes, such as credit card fraud, identity theft, health care fraud, and money laundering. Read more.

AI Isn’t Magic. It’s Just Math.

Jana Eggers, CEO of AI startup Nara Logics, wants everyone to understand AI. In her five minute Signal P&G talk at Shift Forum, she explains that in the end, it’s just math and a lot of data — and that data increasingly will be coming from businesses of all stripes, not just the big tech platforms. Read more.

Artificial Intelligence — The Revolution Hasn’t Happened Yet

Artificial Intelligence (AI) is the mantra of the current era. The phrase is intoned by technologists, academicians, journalists and venture capitalists alike. As with many phrases that cross over from technical academic fields into general circulation, there is significant misunderstanding accompanying the use of the phrase. Read more.

Pentagon developing artificial intelligence center

WASHINGTON – The Pentagon is working on a plan to stand up an artificial intelligence center in order to streamline the department’s myriad AI programs. The idea, which comes as defense officials are increasingly concerned about China’s investments in AI capabilities, has now been embraced by both Secretary of Defense Jim Mattis and Michael Griffin, the undersecretary of defense for research and engineering. Read more.


Growth Marketing Conference

Growth Marketing Conference is the leading growth marketing event in the industry. You’ll learn the latest and greatest ROI-driving growth strategies and tactics from the growth marketing legends who pioneered, practiced, and perfected them, while power-networking with Fortune 500 decision-makers, high-growth startup founders, and the most accomplished growth marketing thought leaders alive today.

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Job Opportunities:

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

dataalab: Frontend Software Engineer

See more job opportunities.