Vehicle-to-everything (V2X) technology has been proving its merits in one field test after another for nearly 10 years, but recently the technology has really started to take off. What was the pivotal moment for V2X? Some experts might say it was when Tesla launched its innovative Autopilot feature in 2014, signaling that autonomous driving was on the horizon. Others might say the seminal moment came last year when the U.S. Department of Transportation (DOT) issued its Federal Automated Vehicles Policy and when the National Highway Traffic Safety Administration (NHTSA) followed that policy by issuing a proposed rule "that would advance the deployment of connected vehicle technologies throughout the U.S. light vehicle fleet." The NHTSA's proposed rule creates a mandate for V2X or V2V (vehicle-to-vehicle) communication technology in all new cars and lightweight trucks.

CyberSaint, Inc. today announced the release of CyberStrong(TM), a breakthrough cybersecurity cloud platform that enables organizations to manage cybersecurity as a measurable and predictable business function. CyberStrong is powered by Amazon Web Services (AWS) Cloud and AWS Artificial Intelligence (AI) services. The new offering is also hosted in the AWS NIST/FISMA regulatory compliant cloud environment. Industry experts predict that CyberStrong will revolutionize the cybersecurity industry. "Today's cybersecurity solutions are mostly disjointed point solutions, which are hard to justify, prioritize, and reconcile with each other," said Massachusetts Institute of Technology (MIT) Research Affiliate and cybersecurity expert Dr. Raphael Yahalom.

Donald Trump's presidency got off to a bloody start in January, when a special operations forces raid against al-Qaeda in Yemen killed numerous civilians and a US Navy SEAL. The raid was a disaster, but it did not deter the US from launching more attacks using drones and other weapons platforms. In one week earlier this month, the Trump administration conducted about 40 strikes in Yemen, including 25 on a single day. Added to that, there was a drone attack in Pakistan, the first in the country since May 2016. Barack Obama was much criticised for his dramatic escalation of drone strikes in non-battlefield settings such as Pakistan, Yemen, Libya, and Somalia. But Trump is already surpassing Obama's record.

Britain risks losing pole position in the race to develop driverless cars if there is a crackdown on immigration after Brexit, say experts. Restricting the flow of skilled workers will damage Government hopes of the UK becoming a world leader in a key industry of the future, according to a report by Oxford University. It claims that firms developing the technology will be forced to move abroad instead. The warning is a blow to Chancellor Philip Hammond, who highlighted driverless vehicles and robotics as a priority in this month's Budget. Oxford University's driverless car project is at risk It is just one of many dire predictions of a'brain drain' as Britain leaves the European Union and the Government tries to cut net annual migration to under 100,000.

The first 24-hour police drone unit is to be launched, amid fears that forces may have to rely on them because of falling officer numbers. The'flying squad' will pursue suspects, find missing people and help solve murders. Assistant Chief Constable Steve Barry, national spokesman on drones, predicted forces across Britain would soon be using them as they are cheaper than helicopters and can perform some duties of bobbies on the beat. But the move has prompted privacy concerns and warnings that the technology should'never be an excuse to cut officers'. Devon and Cornwall Police has advertised for a drone manager to lead its new dedicated unit, which will be launched in the summer and shared with Dorset. Devon and Cornwall Police will launch a dedicated 24-hour police drone unit to save costs on helicopters.

Hanover German Chancellor Angela Merkel has kicked off the world's biggest digital business fair in Hanover with a speech urging developers not to leave their fellow humans behind. At the opening ceremony for the CeBIT expo, Merkel appealed to tech firms to include the'millions of people who in some ways don't know what awaits them' in the digital revolution, adding that politicians could not achieve such inclusion without help from the industry. Merkel is set to peruse the latest trends at the trade fair in detail on Monday, when it opens to the public, together with Japanese Prime Minister Shinzo Abe. 'We cannot let a situation arise in which only certain people generate wealth,' Abe said on Sunday, reinforcing the theme of shared benefits. Merkel admitted that Europe was all too often lagging behind in digital technology.

Governments across the world may be fretting over the impact of artificial intelligence (AI) and automation on employment, but Japanese Prime Minister Shinzo Abe said Sunday his government does not fear the technology. Japan is struggling with a declining and aging population, and sluggish growth. Abe said AI could actually help the country to grow. "Machines equipped with AI, or machines that are essentially robots no longer perform only narrow … functions … the machines of tomorrow will be tasked with solving … (a) multitude of challenges," Abe told an audience at the CeBIT technology trade show in Hannover, Germany, on Sunday. "Japan has no fear of AI. Machines will snatch away jobs? Such worries are not known to Japan. Japan aims to be the very first to prove that growth is possible through innovation, even when a population declines," the prime minister said.

It's almost four years since Edward Snowden leaked U.S. National Security Agency documents revealing the extent of the organization's surveillance of global internet traffic, but he's still making the headlines in Germany. At the Cebit trade show in Hannover, Germany, he'll be looking back at that period in live video interview from Moscow on Tuesday evening. There have been a lot of changes on the internet in those four years, but one of the biggest is the growth in the use of encryption. In 2013, the NSA had free rein and could listen in on almost any communication it wanted. And you don't have to be an enemy of the state to use an end-to-end encrypted messaging system such as WhatsApp simply to chat with friends.

Artificial intelligence (AI) is steadily reshaping healthcare from all sides, introducing technologies we wouldn't have thought possible five or 10 years ago. It's happening in the clinic (see HealthTap's Doctor A.I.), it's happening in diagnostics (see IBM Watson), and now it's moving into earlier-stage drug discovery with Palo Alto, California-based twoXAR. "In the couple years that we have been around, we've been told hundreds of times that computers cannot do this; that biology is too complex; that this will never work," said Andrew A. Radin, CEO of the AI-driven biopharmaceutical company. "Yet, in every single disease program where we have run proof-of-concept studies on our novel AI-identified candidates, we have generated efficacious results across standard end points." Using a custom-built computational platform, twoXAR works to identify what it calls "unanticipated associations between drug and disease."

Traditional statistical analysis requires that the analysis process and data are independent. By contrast, the new field of adaptive data analysis hopes to understand and provide algorithms and accuracy guarantees for research as it is commonly performed in practice, as an iterative process of interacting repeatedly with the same data set, such as repeated tests against a holdout set. Previous work has defined a model with a rather strong lower bound on sample complexity in terms of the number of queries, $n\sim\sqrt q$, arguing that adaptive data analysis is much harder than static data analysis, where $n\sim\log q$ is possible. Instead, we argue that those strong lower bounds point to a limitation of the previous model in that it must consider wildly asymmetric scenarios which do not hold in typical applications. To better understand other difficulties of adaptivity, we propose a new Bayesian version of the problem that mandates symmetry. Since the other lower bound techniques are ruled out, we can more effectively see difficulties that might otherwise be overshadowed. As a first contribution to this model, we produce a new problem using error-correcting codes on which a large family of methods, including all previously proposed algorithms, require roughly $n\sim\sqrt[4]q$. These early results illustrate new difficulties in adaptive data analysis regarding slightly correlated queries on problems with concentrated uncertainty.