Nissan will test its self-driving taxi service in Japan next year


Nissan wants to have its fully-automated ride service on the road in Japan by the early 2020s. The plan is to start with a "public field test" for the Easy Ride service in Yokohama. Nissan has partnered with technology company DeNa for the venture, and the hope is to have everything from pick-up to payment and drop-off handled via mobile app. If you'd rather take the scenic route to your destination, options will be available for that as well.

Hamlet iCub and Other Humanoid Robots in Photos

IEEE Spectrum Robotics Channel

As part of the IEEE RAS International Conference on Humanoid Robots in Birmingham, U.K., last month, the awards committee decided to organize a fun photo contest. Participants submitted 39 photos showing off their humanoids in all kinds of poses and places. I was happy to be one of the judges, along with Sabine Hauert from the University of Bristol and Robohub, and with Giorgio Metta, the conference's awards chair, overseeing our selection. All photos were posted on Facebook and Twitter, and users were invited to vote on them. Sabine and I then looked at the photos with the most votes and scored them for originality, creativity, photo structure, and tech or fun factor. Here are the winners of the two categories, "Best Humanoid Photo" and "Best Funny Humanoid Photo," and all the amazing submissions.

Algorithms Could Rewrite the Recipes of the Future


The San Francisco–based accelerator IndieBio's Demo Day is delightfully awkward. Finally, with the room settled and the house lights turned down, the CEO of each of the 12 science-focused startups in the program steps to the stage, stumbles through a breathtakingly dense five-minute pitch of mind-bending products like 3-D-printed kidneys, lab-grown fish, and pheromone-based insecticide, and then asks for funding. The halting presentations are symptomatic of the program at IndieBio, which strives to turn scientists with big ideas into successful CEOs within four months. So this September, at IndieBio's Demo Day (the three-year-old accelerator's fifth fundraising event), it was staggering when Matías Muchnick, in a Tasmanian Devil–adorned Hawaiian shirt, gave a clear, concise, funny presentation about the way his company, NotCo, would change the food industry.

How To Keep Your Job Regardless Of AI

International Business Times

Nvidia deep learning consultant Michelle Gill never imagined herself working in California's robot-crazed tech industry. When she left Nebraska and got a PhD in biochemistry and biophysics at Yale University, she saw herself as more of a scientist who studied life than a technologist prepared to build new creations. It wasn't until she started working at the National Cancer Institute that she first became interested in machine learning. Analyzing medical images with data science opened the door to a whole new world.

EY: AI Scientist


The EY Global Innovation Team is a product and business incubator, bringing technology to the core of everything we do at EY. The team runs with the speed, agility, and disruptive power of a start-up, but, unlike most start-ups, is part of one of the largest and most respected companies in the world with unprecedented access to the world's leading companies.

Three Ways Artificial Intelligence Is Improving How Companies Do Business


In 1961, the world's first industrial robot clocked in at a General Motors plant in Trenton, New Jersey. The 4,000-pound mechanical arm, named Unimate, was designed to weld cars and lift big pieces of metal. The robot was a huge success--even landing a spot on the Tonight Show with Johnny Carson.

Google brings Core ML support to TensorFlow Lite


Google today released a tool that converts AI models produced for mobile devices using its TensorFlow Lite tool into Apple's Core ML .mlmodel

Microsoft partners with start-up to launch IoT cryptocurrency market


This week in all things IoT, Microsoft sees a blockchain-driven future in connected devices, and IoT in agriculture gets even bigger.

Implementing Enterprise AI course using TensorFlow and Keras


The course is for developers and architects who want to transition their career to Enterprise AI, but also has strategic (non-coding) version. The course starts in Jan 2018 and will take 3 months for the content and up to 3 months for the team project.