DETROIT/SAN FRANCISCO, July 12 (Reuters) - Concerns raised by the first reported fatality in a semi-automated car were expected to speed adoption of more sensitive technology to help vehicles see and drive themselves safely, increasing demand on the emerging autonomous vehicle technology industry, investors and analysts said. Goldman Sachs forecasts the market for advanced driver assistance systems and autonomous vehicles will grow from about 3 billion last year to 96 billion in 2025 and 290 billion in 2035. More than half of that revenue in 20 years, Goldman estimates, will come from radar, cameras and lidar, a sensor that uses laser - all tools considered essential to building vehicles that can pilot themselves. The May 7 death of Ohio technology company owner Joshua Brown in a Tesla Motors Inc Model S while the car's semi-automated Autopilot system was engaged highlighted the limitations of current automated driving systems. Tesla's Autopilot system uses cameras and radar, but not lidar.

The nature of financial service companies is to wait and see. Most of the technological innovation is adopted after it has already'gone mainstream'. This is a safe approach and is adopted across the industry. But what if one of the participants really committed to implementing the new big thing before everyone else, for example, Artificial Intelligence. Could that shift the balance of power within the industry?

Danaher/Institute for Ethics and Emerging TechnologiesAlgorithms are everywhere, and in most ways they make our lives better. In the simplest terms, algorithms are procedures or formulas aimed at solving problems. Implemented on computers, they sift through big databases to reveal compatible lovers, products that please, faster commutes, news of interest, stocks to buy, and answers to queries. Dud dates or boring book recommendations are no big deal. But John Danaher, a lecturer in the law school at the National University of Ireland, warns that algorithmic decision-making takes on a very different character when it guides government monitoring and enforcement efforts.

A Chinese automotive startup is raising money with the stated aim of launching its first electric self-driving car by 2020, company executives told news outlets Tuesday, and the first round of funding is expected to be completed by September. Future Mobility Corp. is one of several Chinese startups in the electric vehicles industry, and is backed by heavyweight investors, including internet giant Tencent Holdings, electronics manufacturer Foxconn and car dealership group China Harmony New Energy Auto Holding. In March this year, it poached its leadership team from BMW's electric vehicle line, and in May, at least two executives from Tesla Motors came on board as well. CEO Carsten Breitfeld, who was project manager for the BMW i8 plug-in hybrid sports car before moving to Future Mobility, told Reuters that unlike Tesla, the company will not focus on only one model at a time or have limited production of its models. "Right from the beginning we define the platform, right from the beginning we define the production process to be mass production and right from the beginning we think of more than one model, a family of models, defined from this platform," he said.

As the old adage goes, football is a simple game; 22 men kick a ball about for 90 minutes and at the end, the Germans win on penalties. But it appears the saying goes even when the game is being played by a team of miniature robots. A team from the University of Bremen in north Germany has won the annual world cup of robot football after emerging victorious in a penalty shootout against a team from the US. This year's Robocup, which took place in Leipzig, pitted participants from researchers around the world against each other in different categories and challenges. The organisers of the event hope that it will encourage the development of robots capable of defeating human football players by 2050.

DETROIT/SAN FRANCISCO (Reuters) - Concerns raised by the first reported fatality in a semi-automated car were expected to speed adoption of more sensitive technology to help vehicles see and drive themselves safely, increasing demand on the emerging autonomous vehicle technology industry, investors and analysts said. Goldman Sachs forecasts the market for advanced driver assistance systems and autonomous vehicles will grow from about 3 billion last year to 96 billion in 2025 and 290 billion in 2035. More than half of that revenue in 20 years, Goldman estimates, will come from radar, cameras and lidar, a sensor that uses laser – all tools considered essential to building vehicles that can pilot themselves. The May 7 death of Ohio technology company owner Joshua Brown in a Tesla Motors Inc Model S while the car's semi-automated Autopilot system was engaged highlighted the limitations of current automated driving systems. Tesla's Autopilot system uses cameras and radar, but not lidar.

By an overwhelming 3-to-1 margin, Swiss voters have rejected a proposal that would have guaranteed all residents a monthly income whether they worked or not. Yet supporters of the concept elsewhere are not taking the Swiss no for an answer. Frequently proposed in the past, guaranteed income for all is back in vogue because of fears that robots and artificial intelligence threaten whole categories of jobs, especially for less skilled workers, and that any remaining jobs will be unstable gigs. Economists' usual prescription is greater investment in education and training, to equip people for high-paying work. Backers span the ideological spectrum: Andy Stern, ultra-liberal former president of the Service Employees International Union, cites straightforward social-justice arguments as the title of his new book Raising the Floor suggests.

Neural networks are changing the Internet. Inspired by the networks of neurons inside the human brain, these deep mathematical models can learn discrete tasks by analyzing enormous amounts of data. They've learned to recognize faces in photos, identify spoken commands, and translate text from one language to another. They're helping to choose what you see when you query the Google search engine or visit your Facebook News Feed. All this is sharpening the behavior of online services.

How often do you ring your bank and forget the special dates, places or names needed just to get through security? Apparently, it takes us 45 seconds on average just to confirm who we are. Now that might not seem very long, but if you're a global bank like Citi receiving 35 million calls a year in Asia alone, that adds up to 437,500 hours of staff time a year. But by using computers to identify our voices, this authentication process can be cut to 15 seconds on average, saving the bank pots of cash and us lots of hassle. Citi has just begun rolling out this kind of voice biometrics authentication for its 15 million Asian banking customers, starting in Taiwan, Australia, Hong Kong and Singapore.

"It's difficult to overstate how significant the impact of AI is going to be on every aspect of business. Artificial intelligence won't be an industry, it will be part of every industry, as well as impacting our day to day lives as consumers. "An important aspect of artificial intelligence, and in particular the branch of AI called deep learning, is its ability to make sense of big data. From retail and healthcare to banking and manufacturing, organisations are producing data on a scale that's simply too massive for manual processing to be an option. In combination with graphics processing units (GPUs), which deliver the extreme processing power required, deep learning offers a way to turn the'black box' of big data into solutions that will transform business". Jack cites a number of examples across several industries in which AI is either playing a key role already, or is set to transform industries in the future. "We're already seeing companies using AI to customise the way consumers interact, procure and receive services from vendors.