With massive importance being given to passenger safety in self-driving cars, a squad of researchers from the Technical University of Munich (TUM), in this regard, has designed a new early warning AI-based system for autonomous vehicles. As per reliable reports, a study was recently carried out in association with the BMW Group, which was published in the journal IEEE Transaction on Intelligent Transportation Systems. The results of the study depicted that, when used in the self-driving vehicles of today, the system can warn seven seconds in advance, with an efficiency and accuracy of 85%, against critical situations that the cars cannot handle alone. Notably, the technology makes use of cameras and sensors to capture surrounding conditions and environment while simultaneously recording the data for vehicle such as road conditions, speed, visibility, and steering wheel angle. The AI-system then, based on recurrent neural network, learns to detect patterns with the procured data.

Researchers have developed a new early-warning system for self-driving vehicles -- leveraging artificial intelligence (AI) capable of learning from thousands of real traffic scenarios, according to a new study executed with the BMW Group and published in the journal IEEE Transactions on Intelligent Transportation Systems. In other words, you may soon ride in a self-driving car with an AI's figurative finger on the buzzer -- to keep you from dying in transit by giving seven seconds' warning of crucial situations the cars can't handle on their own. And so far, the AI can do it with more than 85% accuracy. The drive to increase safety for self-driving cars feels almost self-explanatory, but efforts typically rely on complicated models designed to enhance vehicles' ability to analyze the traffic behavior of users. But driving on public roads always comes with risk and uncertainty.

Elon Musk has been receiving a lot of mail from Germany lately, with government ministers trying to flatter the tech entrepreneur in an effort to promote their states. Almost as soon as the Tesla CEO announced his intention to build a "Gigafactory" in Europe, German state governments began courting Musk like a horde of real estate agents eying a very solvent potential customer. "Lower Saxony," Bernd Althusmann (CDU), the economics minister of that state, wrote, "is one of the world's top regions in the automotive industry." He argued that "trans-European transport routes" cross through it and that the state is leading the way in terms of "electromobility, traffic telematics and autonomous driving." The minister, whose state is home to Volkswagen, said he would be pleased to explain all the advantages "in a personal conversation." Berlin Economics Senator Ramona Pop of the Green Party wrote that the German capital city has "numerous test tracks for autonomous driving" and is the "German hotspot for international companies."

High performance gaming and artificial intelligence computing giant NVIDIA launched its Deep Learning Institute (DLI) last year, and is now offering the first courses on applying this technology to the finance vertical. "There's not a lot of academic research that shows how to take these neural network techniques and adapt them to finance. It became clear to us that was sorely needed," Andy Steinbach, head of AI in financial services and senior director at NVIDIA, said. Newsweek is hosting an AI and Data Science in Capital Markets conference in NYC, Dec. 6-7. "We set out to develop labs that would show how to marry the basic building blocks like auto-encoders, recurrent neural networks, reinforcement learning, with very relevant finance problems like algorithmic trading, statistical arbitrage, optimising trade execution, and so we have done that."