Steam rolled out of the pot, and my kitchen was filled with an intoxicating blend of scents. I'd cooked a turkey ragu before, but as soon as I opened the pot, I knew this would be an entirely different experience. There were the familiar, comforting notes of ground turkey and mushrooms, but there was also earthiness from the beets, the fire of serrano chile, and an unexpected brightness from the coriander seed (coriander seed!). My dinner wouldn't have been out of place at one of San Francisco's trendy food trucks or upscale restaurants, but coming out of my 15 IKEA pot, it was unbelievable. As I mixed in the pasta and ricotta cheese and took the first incredible bite, I realized that A.I. could do a lot more for me than just beating me at Go.

Snowboarder Amy Purdy performed in the Rio Paralympics opening ceremony where she danced the samba with a robot. She spoke to the BBC's Nikki Fox about the experience.

Telefónica Open Future_, Telefónica's startup accelerator that helps the best entrepreneurs grow and build successful businesses, and PAPIs.io Artificial Intelligence (AI) has a track-record of improving the way we make decisions. So why not use it to decide which startups to invest in, and take advantage of all the startup data that is available? The AI Startup Battle, powered by PreSeries (a joint venture between BigML and Telefónica Open Future_), is a unique experience you don't want to miss, where you'll witness real-world and high-stakes AI. As an early stage startup, you will enjoy a great opportunity to secure seed investment, and get press coverage in one of the technology capitals of the world.

Recently I posted an article by Jeff Selingo to my LinkedIn feed entitled "What happens when millions of jobs are lost to automation." Predictably, those who actually read the article decided it was about education -- specifically, how a lot of people are being educated to do things that no one will be doing after a few years. Meanwhile, people who read only the title commented that even more jobs will be created in our hyperautomated future. The issue is more complicated. When we defund education and fail to address long-standing social issues, we simply don't prepare future generations (or even much of the current one) for this future.

Thousands of miles from the drama of the 2016 Olympics in Rio de Janeiro, Brazil, one man has been quietly plotting his own competition; a previously impossible event melding human and machine. His name is Robert Reiner, and next month, in Zurich, Switzerland, he'll host the world's first Cybathlon, aka the "Cyborg Olympics." The competition, while focused on individuals with disabilities, isn't a me-too Paralympics. Instead, the Cybathlon will pit the world's most advanced bionic assistive technologies against each other in an obstacle course of everyday tasks. With the help of exoskeletons, state-of-the-art prosthetics and all-terrain wheel chairs, they have surpassed the realm of the strictly biological to become superhuman.

Artificial Lawyer caught up with Cian O'Sullivan, founder of Beagle, the automated contract analysis system that is just celebrating a year and a half of operations and landing VW as a client. We discussed how Beagle came about, why maybe sometimes it's better not to talk to lawyers about AI and how come the company has one of the world's largest auto companies as a client, and then some. Cian O'Sullivan's web camera is not working when Artificial Lawyer calls for a video conference and so is treated to a picture of a soccer pitch in Colombia that the legal tech company founder took on his travels. The international reference makes sense once you start to talk to O'Sullivan. The Canadian travels a lot.

This paper describes a new mechanism that might help with defining pattern sequences, by the fact that it can produce an upper bound on the ensemble value that can persistently oscillate with the actual values produced from each pattern. With every firing event, a node also receives an on/off feedback switch. If the node fires, then it sends a feedback result depending on the input signal strength. If the input signal is positive or larger, it can store an 'on' switch feedback for the next iteration. If the signal is negative or smaller, it can store an 'off' switch feedback for the next iteration. If the node does not fire, then it does not affect the current feedback situation and receives the switch command produced by the last active pattern event for the same neuron. The upper bound therefore also represents the largest or most enclosing pattern set and the lower value is for the actual set of firing patterns. If the pattern sequence repeats, it will oscillate between the two values, allowing them to be recognised and measured more easily, over time. Tests show that changing the sequence ordering produces different value sets, which can also be measured.

Imagine custom shirts and shoes at mass production prices with same day delivery; imagine turbine parts produced at the airport where and when they are needed; imagine a new tooth made while you're in the dentist chair. The age of smart local manufacturing is just around the corner. Often called Industry 4.0, this new wave manufacturing incorporated connected devices (internet of things: IoT), cloud computing and machine learning. The term Industry 4.0 originated in 2011 with German government-funded research on advanced manufacturing. The second industrial revolution was mass production, starting around 1870, but best known for the assembly lines of Henry Ford 1913.

Imagine custom shirts and shoes at mass production prices with same day delivery; imagine turbine parts produced at the airport where and when they are needed; imagine a new tooth made while you're in the dentist chair. The age of smart local manufacturing is just around the corner. Often called Industry 4.0, this new wave manufacturing incorporated connected devices (internet of things: IoT), cloud computing and machine learning. The term Industry 4.0 originated in 2011 with German government-funded research on advanced manufacturing. The second industrial revolution was mass production, starting around 1870, but best known for the assembly lines of Henry Ford 1913.

A few years ago, a young man named Kyle Behm took a leave from his studies at Vanderbilt University in Nashville, Tennessee. He was suffering from bipolar disorder and needed time to get treatment. A year and a half later, Kyle was healthy enough to return to his studies at a different university. Around that time, he learned from a friend about a part-time job. It was just a minimum-wage job at a Kroger supermarket, but it seemed like a sure thing. His friend, who was leaving the job, could vouch for him. For a high-achieving student like Kyle, the application looked like a formality. But Kyle didn't get called in for an interview. When he inquired, his friend explained to him that he had been "red-lighted" by the personality test he'd taken when he applied for the job. The test was part of an employee selection program developed by Kronos, a workforce management company based outside Boston.