Predicting earthquakes is the holy grail of seismology. After all, quakes are deadly precisely because they're erratic--striking without warning, triggering fires and tsunamis, and sometimes killing hundreds of thousands of people. If scientists could warn the public weeks or months in advance that a large temblor is coming, evacuation and other preparations could save countless lives. So far, no one has found a reliable way to forecast earthquakes, even though many scientists have tried. Some experts consider it a hopeless endeavor.

Although we don't know how brain functions yet, we have the feeling that it must have a logic unit and a memory unit. We make decisions by reasoning and by experience. So do computers, we have the logic units, CPUs and GPUs and we also have memories. But when you look at a neural network, it functions like a black box. You feed in some inputs from one side, you receive some outputs from the other side.

The convergence of major trends in the digital landscape is a phenomenon that redefines the future of the IT industry. However, these changes must be embraced with agility and diligence. Artificial Intelligence or AI is the most intriguing development ever made in this field. It is a vast concept that involves many disruptive technologies including machine learning. Now, the researchers are eyeing an iconic change to evolve by the combination of big data and AI. AI has become pervasive in every industry.

CBS station KFMB put in calls to the Navy and Air Force Monday night about the striking launch off the coast of Los Angeles, which was easily visible from the coast, but the military has said nothing about the launch. KFMB showed video of the apparent missile to former U.S. Ambassador to NATO Robert Ellsworth, who is also a former Deputy Secretary of Defense, to get his thoughts. It takes people\'s breath away,\" said Ellsworth, calling the projectile, \"a big missile\". Magnificent images were captured by the KCBS news helicopter in L.A. around sunset Monday evening. The location of the missile was about 35 miles out to sea, west of L.A. and north of Catalina Island.

Intrusion detection and analysis has received a lot of criticism and publicity over the last several years. The Gartner report took a shot saying Intrusion Detection Systems are dead, while others believe Intrusion Detection is just reaching its maturity. The problem that few want to admit is that the current public methods of intrusion detection, while they might be mature, based solely on the fact they have been around for a while, are not extremely sophisticated and do not work very well. While there is no such thing as 100% security, people always expect a technology to accomplish more than it currently does, and this is clearly the case with intrusion detection. It needs to be taken to the next level with more advanced analysis being done by the computer and less by the human. The current area of Intrusion Detection is begging for Machine Learning to be applied to it.

But what need does Watson fill here?

Congress just stepped into the robocar game. In the past two days, a pair of senators started drafting legislation to advance autonomous vehicles, and the House Subcommittee on Digital Commerce and Consumer Protection held a two-hour hearing exploring how on the tech might be deployed. For your elected officials, it's a considerable, if tentative, step into the future of transportation. Small numbers of robocars already roam the San Francisco Bay Area and other cities, and you'll probably start riding in them within a few years as Uber and others commercialize the technology. Everything is racing ahead of a regulatory structure ill-equipped to usher in this change.

Robots and artificial intelligence (AI) will dominate legal practice within 15 years, perhaps leading to the "structural collapse" of law firms, a report predicting the shape of the legal market has envisaged. Civilisation 2030: The near future for law firms, by Jomati Consultants, foresees a world in which population growth is actually slowing, with "peak humanity" occurring as early as 2055, and ageing populations bringing a growth in demand for legal work on issues affecting older people. This could mean more advice needed by healthcare and specialist construction companies on the building and financing of hospitals, and on pension investment businesses, as well as financial and regulatory work around the demographic changes to come; more age-related litigation, IP battles between pharmaceutical companies, and around so-called "geriatric-tech" related IP. The report's focus on the future of work contained the most disturbing findings for lawyers. Its main proposition is that AI is already close in 2014. "It is no longer unrealistic to consider that workplace robots and their AI processing systems could reach the point of general production by 2030… after long incubation and experimentation, technology can suddenly race ahead at astonishing speed."

While bomb disposal robots have become a a common sight on land, the US Navy is now hoping to use them underwater as well. It hopes the robo-hands will be able to search harbours, piers and even ships for IEDs. Once found, the hands are so dexterous they will be able to safety diffuse the device and remove it, the researchers hope. The'underwater dual manipulator system' has two robot arms, and will be put onto an underwater drone to look for, and defuse IEDs. The robot arms will be attached to a US Navy underwater drone.

GM CEO Mary stands next to a Chevrolet Bolt EV self-driving car at a news conference in Detroit on Dec. 15, 2016. With billions of dollars committed to research and testing of vehicles driven by artificial intelligence rather than humans, the last thing automakers and tech firms want is balkanized regulations that vary from state to state or out-of-date federal rules for this fast-developing technology. So General Motors, Toyota, Volvo and ride-hailing service Lyft had a unified message for members of the House of Representatives on Tuesday: Set a national framework for testing and deploying autonomous vehicles -- and do it soon. "One of the most significant challenges that we face today with respect to the testing of autonomous vehicle technology is the patchwork of policy initiatives at the state level," Gill Pratt, CEO of the Silicon Valley-based Toyota Research Institute, said in testimony to the House Subcommittee on Digital Commerce and Consumer Protection. "More and more states are developing legislation and regulations that are unfortunately creating impediments to the development of autonomous vehicle technology."