Artificial Intelligence/Machine Learning Roundup #62

1. The challenge of realistic music generation: modelling raw audio at scale on

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2. Technology can help spring workers from the informality trap

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3. Commentary: How 3D Technology Is Saving World Heritage Sites

They stopped in the Bamiyan Valley, a lush basin ringed with sandstone cliffs, and began to climb a pair of stunning 100-foot high Buddhas that were carved into the sides of the valley walls 1,500 years ago.

With the exponential advances of 3D digitization, projection, and printing, in 2015, the Buddhas of Bamiyan rose again. He was so devastated by the loss of the Buddhas that in 2003 he founded CyArk, a humanitarian and cultural nonprofit that creates digital records of the world’s cultural heritage sites. Read More

4. API’s and AI Self-Driving Cars

By Lance Eliot, the AI Trends Insider

API’s have become the darling of the high-tech software world. One major advantage of a portal is that it can allow various extensions that can add-on to the software system and go beyond what the original software system itself can accomplish.

How does this apply to AI self-driving cars. Read More

5. Solving Sparse-Reward Tasks with Curiosity

By Arthur Juliani, Senior Software Engineer, Machine Learning, Unity Technologies

Now there is an easy way to encourage agents to explore the environment more effectively when the rewards are infrequent and sparsely distributed. In this post, I will explain how this new system works, and then show how we can use it to help our agent solve a task that would otherwise be much more difficult for a vanilla Reinforcement Learning (RL) algorithm to solve. If there are extrinsic rewards, then that means there must be intrinsic ones too. Read More

6. DataHack Radio Episode #5: Building High Performance Data Science teams with Kiran R


Very rarely do you come across someone who brings all of the following skills to the table:

What do you do when you get some one with these skills.
Well – you ask them to be your guest on DataHack Radio and be a speaker on DataHack Summit and you let them do the talking.
Ladies and Gentleman – today we have a guest like this on the show – please give a round of applause to Kiran R, Director of the Data Sciences Center of Excellence at VMware. Read More

7. Wild About Tech, China Even Loves Robot Waiters That Can’t Serve

“Chinese are much more willing to try something new just because it looks cool,” said Andy Tian, chief executive of Beijing-based Asia Innovations Group, which runs mobile apps. It is among several security robots that have shown up at train stations and airports around China in recent months. A Beijing television station this year made a robot-dominated version of the country’s annual Lunar New Year television special. Read More

8. Will computers be able to think? Five books to help us understand AI

The problem with AI is that while it’s relatively easy to define the “A”, the “I” remains elusive. We don’t know what our own intelligence is, nor how we generate our familiar conscious experience, so it’s tricky to know how we might create an artificial consciousness, or indeed recognise it if we did. Algorithms can knit together plausible conversation by sampling enormous numbers of exchanges between humans, but they have no greater understanding of those exchanges than would an enormous set of punch cards speaking through a bellows and a brass trumpet. Read More

9. Eagle-eyed machine learning algorithm outdoes human experts


Computers operate self-driving cars, pick friends’ faces out of photos on Facebook, and are learning to take on jobs typically entrusted only to human experts.

Researchers from the University of Wisconsin-Madison and Oak Ridge National Laboratory have trained computers to quickly and consistently detect and analyze microscopic radiation damage to materials under consideration for nuclear reactors.

“Machine learning has great potential to transform the current, human-involved approach of image analysis in microscopy,” says Wei Li, who earned his master’s degree in materials science and engineering this year from UW-Madison. Read More

10. IBM Researchers Train AI to Follow Code of Ethics

ACM News

IBM Researchers Train AI to Follow Code of Ethics

In recent years, artificial intelligence algorithms have become very good at recommending content to users — a bit too good, you might say. Tech companies use AI to optimize their recommendations based on how users react to content. This is good for the companies serving content, since it results in users spending more time on their applications and generating more revenue. Read More

11. Data Machina – Issue #138

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12. Protecting the Intellectual Property of AI with Watermarking

If we can protect videos, audio and photos with digital watermarking, why not AI models. Our key innovation is that our concept can remotely verify the ownership of deep neural network (DNN) services using simple API queries. In the embedding stage, owners can overlay the word “COPYRIGHT” on the photo (or watermarks invisible to human perception) and if it’s stolen and used by others we confirm this in the detection stage, whereby owners can extract the watermarks as legal evidence to prove ownership. Read More

13. ACL 2018, Videos from NAACL 2018 and ICML 2018, Fanatic NMT, MojiTalk, CompareGAN, NLP is fun, Program synthesis, AutoML, DeepStack, Gumbel Softmax

It’s been a year since the first edition of this newsletter 🎉.
Thanks also to all that provided feedback on the last newsletter! A lot of you liked the narrative style. I really appreciate your feedback, so let me know what you love ❤️ and hate 💔 about this edition. Read More

14. Deep Extreme Cut: From Extreme Points to Object Segmentation on

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15. Virtual reality app aids learner drivers

Virtual reality app aids learner drivers

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Virtual Reality (VR) has weaved itself into every industry, proving itself to be useful in different capacities. Elsewhere, the technology has proved useful in business settings by connecting employees via a teleconference to analyse data. Who knows how VR will expand next, but it is inevitable the system will reach the forefront of many business strategies. Read More

16. How Existing Businesses Should Organize Their Data Assets for AI

See more articles like this one in the following categories

Episode Summary: Companies with wells of data at their disposal may find themselves asking how they can use them in meaningful ways. Generally speaking, a clean set of data is the foundation for AI applications, but business owners may not know how exactly to organize their data in a way that allows them to best leverage AI.

In this episode of the podcast, we speak with Bryon Jacob, Co-founder and Chief Technology Officer at data. Read More

17. Artificial Intelligence & Disinformation – Marco Rubio & Panel

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18. The 2018 Data Landscape. Building Services. Red Flags in Interviews. AutoML. [DSR #145]

The post is awesome, insightful, but I have a different take on the maturity of data infrastructure & analytics:

As the cycle of replacing older IT technologies with more modern data products continues, it seems that the Big Data market (infrastructure, analytics) is cycling through the early majority of buyers and transitioning into the late majority of the traditional adoption curve. Companies have increasingly adopted modern data infrastructure and analytics tech, but there is limited knowledge among practitioners about how to use these technologies effectively.

My view is that there is an entire generation of tools that need to exist to help practitioners actually use the technology infrastructure that they’ve been given access to over the past decade. Read More

19. Could there be aliens hiding in the Milky Way?

Humanity has long wondered if life exists elsewhere beyond Earth. With the universe being so mind-numbingly vast, the very idea that our tiny, waterlogged rock should alone harbor life seems so…wasteful.

To sate our curiosity,NASA catalogs exoplanets orbiting Milky Way stars to look for potential cradles of extraterrestrial life, such as Kepler-186f, the first validated Earth-size planet orbiting in its star’s habitable zone. Read More

20. Autopsy of a deep learning paper


I read a lot of deep learning papers, typically a few/week. My general problem with papers in machine learning or deep learning is that often they sit in some strange no man’s land between science and engineering, I call it “academic engineering”.

Now that sounds extremely smart, but what the authors are in fact proposing is something any practitioner in the field would take for granted – they are adding a feature that is more suitable to decode the desired output. Read More

21. Every AI startup is not an AI startup –

Every AI startup is not an AI startup

Take 100 startups and ask them “Who is an AI startup?” I am confident the majority will say they are or at least will attach AI to their narrative. At the same time [untouchable and invisible for us] the businesses are putting more efforts in AI to solve range of problems in healthcare, transportation, banking, etc. In most cases these companies at the end of the day are doing data analysis and using algorithms to reach some results or are automating some processes. Read More

22. EuroPython 2018 for data scientist – Kamil Kaczmarek –

EuroPython 2018 for data scientist. This short article introduces selection of talks and trainings that sound like a time well spent.

Below check, intentionally subjective, two lists of talks and trainings. Read More

23. Is it possible to send your personal data into space? The answer is YES.

Is it possible to send your personal data into space.
Leaving behind our world and heading into the unknown has been a dream of countless people throughout the 20th and 21st centuries. Asgardia, as the first space nation in our history, is right there alongside the other visionaries and explorers who are bringing the colonization of space closer every single day. Read More

24. DRAFT Deep Learn Genova 2018: Deep Reinforcement Learning: Foundations, Recent Advances and…

DRAFT Deep Learn Genova 2018: Deep Reinforcement Learning: Foundations, Recent Advances and Frontiers (Li Erran Li)

These are my notes from this lecture enriched with some links where I looked up things, hope they are useful for others. I will cover the foundations of reinforcement learning, present several important algorithms including deep Q-Networks and asynchronous actor-critic algorithms (A3C), DDPG, SVG, guided policy search, TDM. Value-based deep RLDeep Q-learning (deep Q-Networks)Temporal-difference model (TDM)3. Read More

25. History of Machine Learning – Udacity India –

History of Machine Learning

A brief history of Machine Learning and trust me it will not be monotonous. How can I help you?” back. The majority of the world thinks it is a ‘newly’ formed storm, but a rather cool storm. Read More

26. All AIs are Psychopaths – Ron Hunter-Duvar –

All AIs are Psychopaths

A few weeks ago, tech news sites trumpeted the creation of Norman, claimed to be the world’s first psychopath AI. Norman was trained to recognize disturbing images of death and, shockingly, learned to… recognize disturbing images of death.
What is a Psychopath. Read More

27. Why Is Turing Test Irrelevant? – click-bait –

Why Is Turing Test Irrelevant.
Hello and welcome to a new series.

The Turing Test has been a really effective measure to determine the intelligence of a machine and the desire to pass it has been the motivation of many great algorithms. Read More

28. Will Robots Create Our Entertainment in the Future?

Will Robots Create Our Entertainment in the Future. We now know that for every mega-successful brand, there are tens of thousands of niche products appealing to small groups.

More Niches Over Time

It feels like we used to have way less niches. Read More

29. NVIDIA Intern Expands Horizons with Deep Learning Institute | NVIDIA Blog

Sumati Singh came to NVIDIA this summer as an intern to expand on her academic experience in nanotechnology. An introductory AI course at NVIDIA’s Deep Learning Institute got her thinking bigger than she could have imagined. She said that taking the course is one of those rare instances that offers a “butterfly effect” — the idea that a small change can have big results. Read More

30. Engineers, coders – it’s down to you to prevent AI being weaponised

Comment Debate has raged for months over various internet giants’ forays into providing next-generation technology for war.

For example, in March, dissenters at Google went to the press about the web goliath’s contract with the US military’s Project Maven, which aims to fit drones with object-detecting AI among other things. Google has always maintained that its computer vision TensorFlow APIs are for “non-offensive” purposes only and repeatedly denied the malicious use of its technology in its Maven contract with the Pentagon. Read More

31. Why I don’t invest in AI

Last year AI companies attracted more than $10. It allows entrepreneurs and innovators to create products of great value to the customer. This is why I don’t invest in AI or “deep tech. Read More

32. A case for less human bots

In March, Bank of America launched its new in-app AI-powered assistant. Named Erica, the bot presumably takes its name from “America. There’s also remarkable homogeneity of tonality and voice across these bots. Read More

33. This Bomb-Simulating US Supercomputer Broke a World Record

Brad Settlemyer had a supercomputing solution in search of a problem. Los Alamos National Lab, where Settlemyer works as a research scientist, hosts the Trinity supercomputer—a machine that regularly makes the internet’s (ever-evolving) Top 10 Fastest lists. What he found was a physicist who wanted to follow only the most energetic particles through a trillion-particle simulation—a problem whose technological solutions have surprising implications for the bomb babysitters at Los Alamos. Read More

34. The Secret Internet War Over Bots

Companies are waging an invisible data war online. Competera scrapes pricing data from across the web, for companies ranging from footwear retailer Nine West to industrial outfitter Deelat, and uses machine-learning algorithms to help its customers decide how much to charge for different products. com, which Amazon acquired in 2010, accused Amazon of using such bots to automatically adjust its prices, according to Brad Stone’s book The Everything Store. Read More

35. App lets Alexa read sign language

“If voice is the future of computing, what about those who cannot speak or hear?”

That is the question posed by developer Abhishek Singh, the creator of an app that allows Amazon Alexa to respond to sign language.

Future home devices should be designed to be inclusive for deaf users, the developer says.

And a study by the Smart Audio Report suggests adoption of smart speakers has outstripped that of smartphones and tablets in the US. Read More

36. A Japanese startup is planning an artificial shooting star show by 2020

, a Tokyo-based startup that wants you to wish upon a shooting star anytime you’d like. The company is looking to develop a system that would offer paying customers “shooting stars on demand,” and as per a report by Japan Times, the first man-made meteor shower in the history of the world could take place in just two years.

The system depends upon two satellites, both of which are currently being developed. Read More

37. Most of AI’s Business Uses Will Be in Two Areas

Organizations across sectors are looking closely at the technology to see what it can do for their business. As they should—one estimate suggests that 40% of all the potential value that can created by analytics today comes from the AI techniques that fall under the umbrella “deep learning,” (which utilize multiple layers of artificial neural networks, so-called because their structure and function are loosely inspired by that of the human brain). In total, the estimate suggests deep learning could account for between $3. Read More

38. Video Friday: Japanese Androids, Rolls-Royce Microrobots, and Robotic Racecar

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39. New Wearable Sensor Detects Stress Hormone in Sweat

We all know it can be bad for us.

Wearables that use sweat to detect stress typically track temperature, heart rate, and perspiration levels as markers for sweat.

Far better an indicator that someone is under stress is a change in the amount of cortisol produced by their body. Read More

40. How to Fly a Drone With Your Body

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41. The Best of the Physics arXiv (week ending July 21, 2018)


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42. Facebook, Google, Microsoft, and Twitter will now let you transfer data between their services

Some of the tech giants have partnered up to allow easier information sharing between their platforms.

The news: In news originating from the Data Transfer Project, which was founded last year, large sites including Facebook, Google, Microsoft, Instagram, Flickr, and Twitter will now be able to use information already uploaded on one service to populate the same user’s account on another platform. So if you’ve uploaded your favorite picture to Instagram, you can easily share it to your Flickr account, too. Read More