The IRS said Monday it would “transition away” from using the company ID.me for new accounts “over the coming weeks” and would develop an additional authentication process that does not involve facial recognition.

Artificial intelligence technology tested during the Army's Project Convergence exercise largely met expectations and will help transform the way the Army fights in the future, officials say. Army officials held a media roundtable September 23 to discuss lessons learned during the recently completed Project Convergence, which is designed to ensure the Army, as part of the joint force, can rapidly and continuously converge effects across all domains--air, land, maritime, space and cyberspace--to overmatch adversaries in both competition and actual conflict. A key part of the Army's massive modernization effort, the project focuses on people, weapons systems, information, command and control, and terrain to assess areas of advancement and identify areas for improvement. Artificial intelligence, or AI, played a role, along with autonomy and robotics, which Gen. John Murray, USA, commanding general, Army Futures Command, describes as three key technologies for the Army's future. Gen. Murray compares the trio of technological capabilities to those that gave the Germans an initial advantage during World War II.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Gray Eagle drones were armed with HELLFIRE missiles and GBU-69 glide bombs, 155mm artillery weapons fired rounds 60km (37.3 miles) to destroy SA-22 enemy air defenses and armored ground combat vehicles directly hit multiple T-72 tanks during the Army's Project Convergence 2020 at Yuma Proving Grounds, Ariz. The real story, however, according to senior Army leaders attending the service's transformational combat experiment, was about data sharing, networked targeting and a cutting edge AI system called FIRESTORM. "The bullet flying through the air and exploding is interesting, but that is not what is compelling about Project Convergence. It is everything that happens before the trigger is pulled. We did not come out here for a precision-fires exercise, what we came out here to do is increase the speed of information between sensing the target and passing that information to the effector," Brig.

After weeks of work in the oppressive Arizona desert heat, the U.S. Army carried out a series of live fire engagements Sept. 23 at Yuma Proving Ground to show how artificial intelligence systems can work together to automatically detect threats, deliver targeting data and recommend weapons responses at blazing speeds. Set in the year 2035, the engagements were the culmination of Project Convergence 2020, the first in a series of annual demonstrations utilizing next generation AI, network and software capabilities to show how the Army wants to fight in the future. The Army was able to use a chain of artificial intelligence, software platforms and autonomous systems to take sensor data from all domains, transform it into targeting information, and select the best weapon system to respond to any given threat in just seconds. Army officials claimed that these AI and autonomous capabilities have shorted the sensor to shooter timeline -- the time it takes from when sensor data is collected to when a weapon system is ordered to engaged -- from 20 minutes to 20 seconds, depending on the quality of the network and the number of hops between where it's collected and its destination. "We use artificial intelligence and machine learning in several ways out here," Brigadier General Ross Coffman, director of the Army Futures Command's Next Generation Combat Vehicle Cross-Functional Team, told visiting media.

TUM has been studying the complex interactions of science, technology and society since 2012 through the work of the Munich Center for Technology in Society (MCTS), which was established under the 2012 Excellence Initiative. As part of the MCTS, the TUM Institute for Ethics in Artificial Intelligence (IEAI) will focus on ethical implications of artificial intelligence. The US company Facebook is supporting this TUM initiative by a 6.5 million euro donation not subject to any conditions or expectations. At today's opening symposium for the Institute for Ethics in Artificial Intelligence (IEAI) at TUM, Dorothee Bär, the Federal Government Commissioner for Digital Affairs, said: "To some extent, machine learning algorithms are already playing a role in choosing the news articles we read. But the possible applications extend far beyond that, for example into such areas as medical diagnostics. These far-reaching technological changes raise many ethical issues. It is a good thing that TUM is getting involved in addressing these issues."

New teachers, new backpacks, new crushes--and algorithms trawling students' social media posts. Blake Prewitt, superintendent of Lakeview school district in Battle Creek, Michigan, says he typically wakes up each morning to twenty new emails from a social media monitoring system the district activated earlier this year. It uses keywords and machine learning algorithms to flag public posts on Twitter and other networks that contain language or images that may suggest conflict or violence, and tag or mention district schools or communities. In recent months the alert emails have included an attempted abduction outside one school--Prewitt checked if the school's security cameras could aid police--and a comment about dress code from a student's relative--district staff contacted the family. Prewitt says the alerts help him keep his 4,000 students and 500 staff safe.