In a world where everyone wants a piece of the growing self-driving industry, we might have to get used to reports of betrayal and trade secret theft. US authorities have just arrested a former Apple employee for stealing the tech giant's self-driving trade secrets. Xiaolang Zhang was charged with stealing circuit boards and a computer server from Cupertino's self-driving car lab. He's also being accused of downloading a 25-page blueprint for a driverless car circuit board, which served as the basis for the criminal charge, though he reportedly downloaded some technical manuals and reports to his wife's computer, as well. According to Bloomberg, Zhang admitted that he downloaded Apple's driverless car files, so he could still have access to them even if he's not with the company anymore.

The idea that "uncertainty" has returned to the stock market in 2018 is perhaps the understatement of the year. Protectionist trade policies are whipsawing the S&P 500 SPX, 0.35% based on the news cycle, and headlines can cause individual segments of the market to move even more dramatically. Just look at the slump for Harley-Davidson Inc. HOG, 0.69% in late June, and how automakers responded to discussions of targeted tariffs last week. There are plenty of investors who are a bit testy about this, since one tweet by Donald Trump or the latest tit-for-tat in tariffs can undercut their strategy. But there are still stocks that are very much on the upswing regardless of trade escalations.

A computer running artificial intelligence software defeated two teams of human doctors in accurately recognizing maladies in magnetic resonance images on Saturday, in a contest that was billed as the world's first competition in neuroimaging between AI and human experts. Good versus evil is a daily battle on a variety of levels but perhaps none more so than that those tracking developments within the realm of Artificial Intelligence. The question on the minds of many business leaders is will the technology create more efficiency within industries or will machines end up usurping their very users. Many in the workforce simply want to know whether there will be massive impending job loss as a result of AI or whether such tech advancements will help them to be more productive. There are wild myths about this new area of tech and even wilder predictions amidst few, if any, regulations and standards.

On the second floor of an unassuming office building in Shibuya, Tokyo, a process of transformation is happening. "We don't want to stand out," says Hiroko Minamoto, president and co-founder of video game translation firm 8-4. The company, named after the final level of Super Mario Bros, specialises in repackaging Japanese video games for English-speaking audiences, or vice versa. "When localisation is bad, that's when it stands out, and that's when people yell at us. We want it to be natural."

Spanish unions have called on 1,000 Amazon workers to strike in the middle of one of the company's most important days of the year. The workers are being asked to walk-out during Amazon Prime Day, when the site runs a series of deals. The strike is being called after what unions say is a dispute over workers' rights. Activists have also called on other Amazon workers around the world to join in the strike, and for customers not to take part in the Amazon Prime Day sales. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

China is spearheading the use of facial recognition for everything from helping control major live events to ordering fast-food, but also bolstering a growing domestic surveillance system that has raised fears among human rights activists of privacy being invaded.

Data science internships are highly sought after, as studying machine learning in a classroom setting cannot be compared to applying it to solve real client problems. Yet, hopefuls for data science internships will need to have more than just technical skills under their belts, said Mr Ng Sing Kwan, vice president, data science at e-commerce company Lazada. "A lot of people think that to be a good data scientist, they just need to have good coding skills and understand machine learning statistical concepts. But what they lack--and what we look out for--are problem-solving skills and business acumen," he said. Mr Ng, who transited from a business background to data science, was speaking at a panel discussion titled'What Does It Take To Land The First Data Science Job/Internship?', organised by volunteer-led data analytics community Analytics.Club Singapore in partnership with SGInnovate.

Google on Tuesday announced'Launchpad Accelerator India,' a mentorship program that would aim to support Indian start-ups that deploy artificial intelligence and machine learning to build solutions for local needs. The company said the program builds on the success of the global Launchpad Accelerator program. It has been designed to grow the AI and ML ecosystem in India by helping Indian start-ups build scalable solutions for India's unique problems. "India has the appetite to build entrepreneurs of the future and we are proud to announce a focussed program for the next wave of Indian entrepreneurs," Roy Glasberg, Global Launchpad Founder, Google, said in a statement. The three-month accelerator will provide a cohort of 8-10 Indian start-ups with mentorship and access to the best of Google -- its people, network and technologies. They will also get up to $1,00,000 of Google Cloud credits.

When Benjamin Franklin said, "An ounce of prevention is worth a pound of cure," he was talking about fire safety. Nevertheless, the axiom works just as well when taken literally. In fact, Franklin's advice anticipated hundreds of years of healthcare best practices. Spotting and preventing medical problems early on is far cheaper and more efficient than catching them late. The problem for overworked physicians is that issues are not always easy for human eyes to detect.

Sophia, the AI-powered robot who was infamously granted citizenship by Saudi Arabia recently beat me out for two keynote speaking opportunities. This is how I opened my presentation at the KQED studios in its inaugural Silicon Valley Conversations program, "The New Experts: How Robotics, AI and Automation Are Shaping the Future of Your Work." The event focused on the way new technologies are changing how we work, where we work and the skills we need to work. I joined Michael Chui, partner at McKinsey Global Institue, and Dr. Karen Myers, lab director of SRI International's Artificial Intelligence Center. We each had five minutes to open with a TED-style talk on our views of the future of AI and work.