NVIDIA unveiled a comprehensive global program to support the innovation and growth of startups that are driving new breakthroughs in artificial intelligence and data science. The NVIDIA Inception Program provides unique tools, resources and opportunities to the waves of entrepreneurs starting new companies, so they can develop products and services with a first-mover advantage. "Startups worldwide are taking advantage of deep learning for its superhuman speed and accuracy in applications like radiology, fraud detection and self-driving cars," said Kimberly Powell, senior director of Industry Business Development at NVIDIA. "We're committed to helping the world's most innovative companies break new ground with AI and revolutionize the industry. The Inception Program provides innovative startups with key support to help grow their businesses and bring revolutionary products to market faster.

Turning to his globally watched face-off with AlphaGo, created by artificial intelligence firm Google DeepMind, Lee said a rematch in future is unlikely, as he did not enjoy the experience of playing against the software. "If I were to play again, with the knowledge and experience I gained from that match, I would have more opportunities to win. But I don't think I will play with AlphaGo again. There was no exchange of emotions when I played against it. However, in the game, the level of pressure was out of my imagination. It's very difficult to play without feeling and emotion."

Robots are predicted to steal the jobs of millions of workers across the world over the next few years, as technology replaces human shop assistants, teachers, accountants and potentially even taxi drivers. Artificial intelligence and automation are also expected to revolutionise the investment industry, especially in the area of robo-advice. This is where algorithms are used to suggest funds to investors, replacing some human financial advisers in the process. Less spoken about is the impact robotics and artificial intelligence could have on the role of the portfolio manager. But commentators believe many fund managers' jobs could come under threat as developments are made in technology.

It took millennia for Humanity to advance from the Stone Age to the Industrial Revolution. The pace of Human development continues to rapidly accelerate. The next Revolution is already overtaking society before many are ready for- or even aware of it. Both diametrically opposed predictions curiously are based on the premise that Humans will blithely give up control to either benevolent or diabolical machine'overlords'. There are arguments for both extremes, and both sides raise enough valid questions provoke meaningful dialogue on AI ethics and control. While History reminds us that extreme people and ideas often provide valid counterweight to over-enthusiasm and even zealotry from opposing people and views, they usually tend to be mere lane markers for History's true road.

Fujita Health University in Toyoake, Aichi Prefecture, is partnering with Toyota Motor Corp. to open a Robotic Smart Home -- a base for nursing robots at the Toyoake apartment complex -- next spring. As the nation approaches a "superaging" society when the baby boomer generation turns 75 years old and above, the project aims to develop small robots that can be easily installed in small Japanese houses, with the cooperation of residents. The Toyoake housing complex opened in 1971 and currently has some 4,500 residents. But 45 years after its completion, the facility's occupants are now predominantly elderly with 26.2 percent aged over 65. In 2014, the university signed a comprehensive agreement on nursing care and medical services with the city of Toyoake and the Urban Renaissance Agency.

A half-dozen young, mostly male engineers sit in a bright, open office digging through a mountain of code. Multi-monitor work stations sit on desks strewn with laptops, tablets, and headphones. This is not a tech startup, however. Today these factory workers are culling immediate production inefficiencies and developing systems that they hope will, by next year, allow the factory's machines to diagnose their own problems, order replacement parts, and anticipate necessary maintenance hours or even weeks in advance. Through a bank of large windows opening from the computer room onto the shop floor, row after row of machines hum a percussive melody as they turn out small parts--fuel injection nozzles, electronic safety control systems, mechanical brake systems--destined for car companies including BMW, Volkswagen, and Tesla.

Typography has its roots in the earliest days of machines, yet type design is deeply personal. Or even understand the basic qualifications of a typeface? It's not a ridiculous question; the past year has seen a huge influx of developers and artists experimenting with machine learning and computer vision, training artificial neural networks to do everything from caption New Yorker cartoons to describe what's happening in the intro to Star Trek. Erik Bernhardsson, a former Spotify engineer who now works at Better, recently published the results of one such experiment online. In a blog post, he explains that he--or more specifically, a script he wrote--collected some 50,000 fonts from around the web.

Artificial intelligence is going to change everything in every industry. Not so fast, says Coursera president and co-founder Daphne Koller. Her education company markets itself as being ahead of technological disruption, but even it isn't so sure AI can do everything that a human college professor can do. "Instructors are valuable, first of all, in creating the content. That's really important," Koller said in an interview with Recode's Kara Swisher on the latest episode of Recode Decode.

According to some prominent voices in the tech world, artificial intelligence presents a looming existential threat to humanity: Warnings by luminaries like Elon Musk and Nick Bostrom about "the singularity" - when machines become smarter than humans - have attracted millions of dollars and spawned a multitude of conferences. But this hand-wringing is a distraction from the very real problems with artificial intelligence today, which may already be exacerbating inequality in the workplace, at home and in our legal and judicial systems. Sexism, racism and other forms of discrimination are being built into the machine-learning algorithms that underlie the technology behind many "intelligent" systems that shape how we are categorised and advertised to. Take a small example from last year: Users discovered that Google's photo app, which applies automatic labels to pictures in digital photo albums, was classifying images of black people as gorillas. Google apologized; it was unintentional.

The EXAMATION system is equipped with an artificial intelligence that uses sensors to measure the data of individual tires based on 480 quality items. Bridgestone has introduced a new tire assembling system called EXAMATION at its flagship Hikone Plant. Designed to further improve quality and enhance productivity with regards to tire production technologies, this advanced system combines Bridgestone's proprietary information and communication technologies with artificial intelligence. Bridgestone plans to leverage this system at existing and new factories globally to boost competitiveness on the production side of operations and enable the Bridgestone Group to deliver even higher quality products to a wide range of customers.