With machine learning and AI being the hottest trend in tech, eBay is also bolstering its efforts with the acquisition of Israel-based advanced analytics startup SalesPredict. And its not just efforts-bolstering thats happening, this could well be eBay's attempt to become more like Amazon and automate processes within the company. SalesPredict is the second addition to the carousel of machine learning powered analytics startups acquired by eBay in the recent past. It follows in the footsteps of Expertmaker, another startup that specializes in providing intelligent solutions powered by artificial intelligence, machine learning and big data analytics. SalesPredict, in a similar manner, provides a software platform that monitors individuals' buying preferences and tries to predict consumer behavior for online shopping.

Over the past few months Google, Microsoft and Facebook have taken major decisions to make their artificial intelligence APIs openly available to all. IBM have opened their Watson API on a'freemium' basis and Elon Musk launched the OpenAI project with a star-studded list of backers; Palantir CEO Peter Thiel, LinkedIn founder Reid Hoffman and Y Combinator president Sam Altman. These hugely powerful tools, which are used, developed and backed by the world's most advanced technology companies, are now available to anyone with the skills to use them. Whilst these announcements haven't quite drawn the media attention of an iPhone launch, their significance and reach may be far greater. The point is this: using these toolkits, individually or combined, anyone can integrate transformational AI or machine learning platforms - which are as sophisticated as anything currently on the market - to their business at on a pay as you go or free basis.

Many organizations are interested in using the increasingly large amount of data they collect for social good. However, making sense of so much data and then turning those insights into actionable decisions is a difficult task. To streamline this path from data to insights to decisions, organizations in the public and private sector are beginning to use artificial intelligence (AI). AI involves the use of computers to perform complex tasks typically performed by humans. In particular, advances in machine learning--a branch of AI that focuses on designing computer programs that can automatically and iteratively build analytical models from new data without having the solution be explicitly programmed--are helping organizations analyze massive amounts of data to better understand complex problems, predict outcomes, and prescribe solutions.

DeepMind is an artificial intelligence lab in London that creates what are known as general purpose self-learning algorithms. The company, acquired by Google in 2014 for a reported 400 million, is best-known for creating software "agents" that have mastered games like Go and Space Invaders but it also wants to apply its technology to healthcare. Mustafa Suleyman, DeepMind cofounder and head of DeepMind Health, gave a talk at the King's Fund in London this week where he explained how the company is working with the NHS and what kind of benefits patients can expect to see in the long run. The company operates independently of Google and creates software that can think for itself. In order to create this kind of AI software, DeepMind draws on huge data sets that can help to teach DeepMind's AI how to perform certain tasks.

To compare where the humans and machines looked, the researchers created "attention" heat maps that could be laid over one another. On a scale of 0 to 1, where 0 is no overlap at all and 1 is complete overlap, the researchers found that the attention maps from the humans lined up at a rate of 0.63. But when comparing humans to machines, this figure was just 0.26. Explaining this difference is tricky. In one question in the study, for example, the humans and neural networks where shown a picture of a bedroom, and asked: "What is covering the windows?"

Singapore is looking to tap artificial intelligence technology to enable more natural and simpler interactions with its e-government services. Led by industry regulator Infocomm Development Authority of Singapore (IDA), the new initiative would see the use of Microsoft's "conversations as a platform" pitch to explore opportunities in developing the country's next-generation government services based on "conversational computing". According to Singapore's Minister for Foreign Affairs and Minister-in-Charge of Smart Nation Vivian Balakrishnan, IDA and Microsoft would co-develop "chatbots" to support selected public services. These intelligence software tools would assume the role of digital representatives, simulating human behaviour, and enable interactions that were more user-friendly and consistent, said the minister, who announced the new initiative at this week's World Cities Summit. New proof-of-concepts would be built to integrate conversational intelligence into public services, with efforts focused on making these more "anticipatory" and engaging for the general public.

Mitsubishi Heavy Industries Ltd. on Tuesday unveiled a robot that can operate in the presence of flammable gases, such as after a gas leak following a disaster. A joint project with Chiba Institute of Technology, the Sakura No. 2 is the country's first mobile inspection unit that can operate in the presence of high concentrations of explosive gases such as methane and hydrogen. There is an increasing need for an inspection robot that is not a fire hazard as Japan steers toward becoming a hydrogen-based society, said Ken Onishi, a senior engineer in charge of the project for Mitsubishi Heavy. "There was a debate over whether to develop robots that can operate near hydrogen gas, as doing so requires an extremely high level of technology," Onishi said. "As we may encounter accidents such as collisions involving hydrogen cars or a truck loaded with hydrogen tanks rolling over inside a road tunnel, we decided to develop a robot that can deal with such situations."

We made a tool that you can use. Reinforcement learning is much discussed these days with successes like AlphaGo. Wouldn't it be great if Reinforcement Learning algorithms could easily be used to solve all reinforcement learning problems? But there is a well-known problem: It's very easy to create natural RL problems for which all standard RL algorithms (epsilon-greedy Q-learning, SARSA, etc…) fail catastrophically. That's a serious limitation which both inspires research and which I suspect many people need to learn the hard way.

Today eBay announced it will acquire SalesPredict, an Israel-based company that leverages advanced analytics to predict customer buying behavior and sales conversion. SalesPredict is eBay's latest acquisition that will support its artificial intelligence, machine learning and data science efforts. It follows eBay's recent acquisition of Expertmaker, in order to further bolster our structured data efforts. Financial terms of the deal were not disclosed. Upon the close of the transaction, a number of SalesPredict's employees will join eBay's structured data organization, working from eBay's Israeli Development Center in Netanya.

Artificial Intelligence (AI) and robo-advising are hot sectors in the Fintech space. Kavout is a company that wants to provide powerful AI tools for all investors and, for the time being, these tools are free. Alex Lu, CEO and co-founder of Kavout, explains that hedge funds and investment banks are rapidly hiring AI and machine learning developers – pointing to the fact that Goldman Sachs has more software engineers than Facebook. "None of this is a coincidence," says Lu. "The big players know that there is much more to be gained in the markets by investing in artificial intelligence and machine learning. Our aim is to make those technologies available to all investors."