The cradle of American automotive innovation has in the past decade migrated 2,000 miles from Detroit to Silicon Valley, where autonomous vehicles and other advanced technology is coming to life. In a bid to reclaim the mantle for Motown, Michigan lawmakers have introduced legislation that could make their state the best place in the country, if not the world, to develop self-driving vehicles and put them on the road. But this being Michigan, it's no surprise the proposals favor industry players and could inadvertently (or intentionally) criminalize some research. "Michigan's dominance in auto research and development is under attack from several states and countries who desire to supplant our leadership in transportation. We can't let that happen," says senator Mike Kowall, the lead sponsor of four bills introduced Wednesday.

Meet Ivan the Terminator - Russia's robotic answer to Iron Man that could be about to change military warfare forever. The terrifying new robot soldier is the latest in the country's list of high-tech weaponry as it competes with the US and China in the artificial intelligence stakes. According to Russian newspaper Komosomolskaya Pravd, the droid is designed "to replace the person in the battle or in emergency areas where there is a risk of explosion, fire, high background radiation, or other conditions harmful to humans. "The development of a special military robot is one of the priorities of military construction in Russia." The Iron Man machines are remotely controlled, but there are fears that they could become completely autonomous in the future.

This column was originally published on Jeff Neal's blog, ChiefHRO.com, The government is sitting on a treasure trove of HR data that it does not typically use. For example, agencies have data about performance, and data about where they recruit and what kinds of questions they ask in job announcements. I do not know of a single agency that is comparing the questions they ask to the performance they get from the selectees. There are so many possibilities to use the data to produce actionable information that would help agencies do better hiring, get better performance, and use their resources more wisely.

A longtime State Department official said he assumed that then-Secretary of State Hillary Clinton was using her personal email to "stay in touch with family and friends", not conduct official business. In a two-hour deposition with the conservative legal watchdog group Judicial Watch last week, Lewis Lukens also said he offered to set up a "stand-alone" computer for Clinton to check her personal email account, only to be told that she "does not know how to use a computer to do email." Lukens' testimony was released Thursday, the day after the State Department inspector general released a report criticizing Clinton's email setup, saying that it violated federal records rules and cybersecurity guidelines. The FBI is investigating possible mishandling of classified information that passed through the server, which was set up in the basement of Clinton's Chappaqua, N.Y. Clinton has repeatedly denied any wrongdoing, and did so again Thursday.

What are the fundamental limitations inherent in machine learning systems? That's the central question of a potential new DARPA program known as the Fundamental Limits of Learning (Fun LoL) which according to the researchers will address how the quest for the ultimate learning machine can be measured and tracked in a systematic and principled way. "It's not easy to put the intelligence in artificial intelligence. Current machine learning techniques generally rely on huge amounts of training data, vast computational resources, and a time-consuming trial and error methodology. Even then, the process typically results in learned concepts that aren't easily generalized to solve related problems or that can't be leveraged to learn more complex concepts. The process of advancing machine learning could no doubt go more efficiently--but how much so? To date, very little is known about the limits of what could be achieved for a given learning problem or even how such limits might be determined," DARPA stated.

China's artificial intelligence industry received a huge boost of validation from the government on Wednesday, which announced its plans to create a "100 billion level" ( 15 billion USD) artificial intelligence market by 2018. According to state-owned media Xinhua News Agency, the government plans to roll out projects in smart home applications, smart cars, unmanned systems, wearables, and robotics over the next three years. "According to the plan, China will improve the country's economy and society, disrupt the core technologies of artificial intelligence, and increase our smart hardware supply capabilities," stated the government in its announcement. "Over the next three years, the country will build a solid foundation for an innovative, active, collaborative, eco-friendly, and safe artificial intelligence industry." As per usual, the government's announcement was vague.

EXCLUSIVE: New satellite imagery obtained by Fox News shows that China, for the first time, has deployed a drone with stealth technology to a contested island in the South China Sea, in another sign of escalating tensions in the region. The new development comes as President Obama visits Japan. He lifted an arms embargo against Vietnam while visiting Hanoi earlier this week, drawing criticism from the Chinese government about stoking tensions in the region. The newly obtained satellite images from ImageSat International (ISI) show a Chinese Harbin BZK-005 long range reconnaissance drone on Woody Island in the South China Sea. The Chinese drone did not appear armed in the satellite image taken last month.

It was Sunday 28th of February 2016, Magnus Olsson was staying at my house in Spain, I had been appointed the Vice President of World CACH 2 days before. We were planning the roll out of the World CACH, deciding the agenda of the organisation, we had a great day on the Saturday, we appointed the technical director, spoke to one of our legal team Alfred Lambremont Webre, he's the guy that won the war crimes tribunal against Tony Blair and George Bush. We explained that what we wanted to do with World CACH was to set up a Global Intelligence Service that acts for the people against the Governments and security services that no longer represent the people, and take the Masons who have infiltrated all levels of the government and security Services to the war crimes tribunal for genocide and racketeering against the population of earth. He thought both ideas were sensational and invited us to go on his show the following day, which would go out to 250,000 people. On the Sunday, I started hearing the high pitched noise again in my ear I had not heard it for a few days, since Magnus arrived, and all of a sudden it was back along with the voice to skull.

It's not easy to put the intelligence in artificial intelligence. Current machine learning techniques generally rely on huge amounts of training data, vast computational resources, and a time-consuming trial and error methodology. Even then, the process typically results in learned concepts that aren't easily generalized to solve related problems or that can't be leveraged to learn more complex concepts. The process of advancing machine learning could no doubt go more efficiently--but how much so? To date, very little is known about the limits of what could be achieved for a given learning problem or even how such limits might be determined.

The computer science community has been exploring the role of artificial intelligence (AI) in systems for more than a half-century. In the last few years, AI development has reached a threshold of practicability, and AI capability is now emerging in sectors ranging from vehicles, logistics, and military systems to health care, financial services, and smart cities. The economic and societal impacts could be dramatic, and investment in the development of AI applications is now a world-wide phenomenon. Many technical leaders now believe that the principal limits on exploiting AI derive primarily from our confidence in the safety of these smart systems – that they will operate in a safe and controlled manner. Some AI experts have asserted that the ability to assure safety and control is more important to the future of AI even than improvements in the AI algorithms themselves.