ANSYS (NASDAQ: ANSS) is collaborating with Edge Case Research to engineer the next generation of autonomous vehicles (AV) with unmatched state-of-the-art hazard detection capabilities. Through a new OEM agreement, Edge Case Research integrates its powerful AV artificial intelligence (AI) perception stress testing and risk analysis system, Hologram, within ANSYS' comprehensive AV simulation solution -- delivering a solution to maximize the safety of AVs. Today's AVs rely on AI perception algorithms that are trained to make safety-critical driving decisions. Though highly advanced, an AV may fail to detect hazardous driving scenarios known as "edge cases" -- because its algorithmic training has not prepared it for the many unusual road situations it will encounter in the real world. To ensure the highest safety of an AV -- and make fully autonomous vehicles a reality, developers need tools to automatically identify these challenging edge cases in a way that is far more scalable than manual data labeling.
The U.S. Army Artificial Intelligence (AI) Task Force was inaugurated when Commander General John Murray applied the U.S. Army Futures Command (AFC) patch to the left arm of Brigadier General Matthew Easley's uniform with a hearty slap. Easley is now officially in charge of the new taskforce. In close collaboration with Carnegie Mellon University (CMU), the U.S. Army has also established the first AI Hub to be located in Pittsburgh, Pennsylvania and Carnegie Mellon's National Robotics Engineering Center. A key role of the AI Hub will be to increase collaboration with ANSYS and other academic, industry and government agency partners. The Army AI Taskforce will be focused on developing and prototyping AI capabilities for several critical areas of the Army -- including an on-going project focused on predictive maintenance.
We often hear about autonomous vehicles and self-driving cars, but you would be surprised how close the aviation industry is to complete this transition. The thing is that aviation has an emerging need for a solution because tourism is booming, more people than ever are traveling around the world, yet there's the scarcity of pilots. In 2017, there were 609 thousand certified pilots, which seems a lot, but the number drastically declined from 827 thousand in 1980. And the number of qualified pilots is gradually decreasing. One way to tackle the problem is to accelerate an autonomous aircraft development.
At the 2019 Paris Air Show, Dassault Aviation showed a mockup of the FCAS sixth generation fighter jet for the first time publicly. A new partnership between ANSYS and Airbus Defense and Space will develop a new artificial intelligence design tool to create the embedded flight control software for Europe's Future Combat Air System (FCAS). FCAS is a next-generation air combat development program involving France, Germany and now Spain to develop a system of fully automated remote air platforms and sixth-generation fighters that will replace the current generation of Eurofighter and Rafale jets operated by those three countries. Dassault and Airbus are the lead prime manufacturers for the FCAS program. A mockup of the future FCAS stealth fighter concept was shown publicly for the first time during the 2019 Paris Air Show.
The ANSYS Global Autonomous Vehicles Report was commissioned by the company to gauge global consumer perception of autonomous vehicles (AVs) and better understand expectations for the future of travel. According to the report Japanese respondents were more confident in AVs than the global average, with 38% of respondents believing that AVs are better than human drivers and 83% of respondents believing that autonomous cars will surpass human abilities by 2029. Chinese respondents were most open to riding in an AV in their lifetime at 97%, while only 57% of respondents from the UK expressed comfort with the idea of riding in an AV. In contrast, 43% of respondents over the age of 65 said they would never ride in an AV. Principal research analyst at Navigant Research Sam Abuelsamid said: "Automated driving has been a dream of engineers and travellers since at least the 1950s, but the hardware and software required to make it a practical reality has only approached a sufficient level of maturity in the past decade."