Many people have found the table above to be useful for understanding two conceptual distinctions in the practice of data analysis. The article that discusses the table, and many other issues, is now in press. The in-press version can be found at OSF and at SSRN. Abstract: In the practice of data analysis, there is a conceptual distinction between hypothesis testing, on the one hand, and estimation with quantified uncertainty, on the other hand. Among frequentists in psychology a shift of emphasis from hypothesis testing to estimation has been dubbed "the New Statistics" (Cumming, 2014).

Many current fears around AI and automation center around the idea that superintelligence could somehow "take over," turning streets around the globe into scenes from The Terminator. While there is much to be gained from discussing the safe development of AI, there's another more imminent danger: Autonomous weapons. On Friday, after three years of negotiations, the UN unanimously agreed to take action. At the Fifth Review Conference of the UN Convention on Certain Conventional Weapons, countries around the world agreed to begin formal discussions--which will take place for two weeks at the 2017 UN convention in Geneva--on a possible ban of lethal, autonomous weapons. Talks will begin in April or August, and 88 countries have agreed to attend.

Though Intel is the leader in data centers microprocessor market, with more than 90% market share, it has more recently lagged in the market for coprocessors, where Nvidia has generated momentum. Whereas Intel is dominant in the microprocessor market at large, Nvidia has successfully identified this coprocessor niche where it has garnered significant market share. This is reflected in their recent growth rates. While Intel witnessed a mere 13% year over year growth in its revenue from the Data Center Group in Q3 2017, Nvidia data center revenues nearly tripled during the same period. Of course, Intel's data center revenues are a vast multiple of Nvidia's.

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. At least they have robots to get some actual work done. If anyone can use some automation to boost production, it's Santa: That must have taken a ridiculous amount of helium.

This is one of a network of sites dedicated to support the AI community. For more information see Informed.AI If you are a company or agency that has one or more job openings related to Artificial Intelligence and Machine Learning you are free to post them onto this site. We are a new site, but have a strong network and community of people who are interested in this field.

DeepMind, a research lab that was acquired by Google for £400 million, has become a well known entity in the field of artificial intelligence (AI) for building agents that can learn and master games such as arcade classic "Space Invaders" and the ancient Chinese board game of "Go". Over the last year, the five-year-old company, which employs approximately 250 people in London, has been branching out and applying its self-learning algorithms to fields such as healthcare and energy. On the latter, it's helped Google to slash the electricity bill in its data centres worldwide and it's now exploring how it can help the National Grid to predict demand. But Demis Hassabis, DeepMind's cofounder and CEO, announced on Sunday that the company isn't about to turn its back on the gaming field any time soon. In fact, Hassabis wrote on Twitter that DeepMind has been busy improving the AlphaGo [AG] agent that beat Lee SeDol, the world's best Go player, earlier this year.

Natural language processing has reached an important milestone. Sophisticated chatbots are now available as white label and open source offerings while larger technology companies are releasing Virtual Personal Assistants capable of performing complex tasks via voice commands, from ordering goods and services to acting as a smart hub for smart homes. These new categories of products and services are set to revolutionise customer care, search and discovery, and the provision of goods and third party services. Join pioneers from this exciting new space to learn how AI is set to radically transform how we interact with the world around us.

The secret of change is to focus all of your energy, not on fighting the old, but on building the new. Intel Corporation (NASDAQ:INTC), in the face of a declining PC market projected to decline still further, with disruptive factors at play in the data center market, and with the company's revenues across all business segments largely static over the last four quarters, is in the throes of developing responses to their significantly changing business environment. Despite a rise in Intel's overall revenue of 9.1% YoY in 3Q16 to a record high of $15.8 billion, largely due to unexpectedly high sales in the PC market, just two segments - the Client Computing Group and the Data Center Group - contributed 85% of the company's earnings. With the PC market in structural decline, increasing big cloud provider data center market control, and greatly increased data center competition, Intel is faced with shrinking defensive flexibility, which does not bode well for its long-term future. Performance in 4Q16 is expected to retreat from 3Q16 levels, as distribution channels reduce their stock.

Both Machine Learning and Artificial Intelligence has become poplar topics in the tech world recently. With the uprise of products using either Machine Learning or Artificial Intelligence, or both, there's bound to be more jobs popping up for people with those qualifications. Which makes this bundle pretty important. And right now we are offering up The Machine Learning and Artificial Intelligence Bundle for just $39, that's 91% off of the regular price, making it a great time to pick up this bundle. There are four courses included in this bundle, each are typically $120.

We build partnerships with leading global organizations to assemble complex datasets and gain insight into their business needs. We target scalable problems faced by many clients. We develop models that predict actionable insights for our partners. We use state-of-the-art machine learning techniques and infrastructure and apply rigorous measures of success. We iterate to transform models into standalone products.