ANSYS has released its SeaScape architecture for product developers. SeaScape is claimed to allow organisations to innovate faster than the ever by bringing together the advanced computer science of elastic computing, big data and machine learning and the physics-based world of engineering simulation. Engineering simulation generates huge amounts of data - more than most organisations can effectively leverage for future product designs. At the same time, engineering supercomputing resources are not keeping pace with the demand for higher fidelity simulations needed for increasingly complex products. By leveraging such big data technologies as elastic compute and map reduce, SeaScape is said to provide an infrastructure to address these issues in the context of almost any engineering design objective.
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 ANSYS Electronics Simulation Expo was conducted in Bangalore on the 3rd of June 2016, with a focus on helping the engineering community improve electronic system design. The event started off with a welcome note by Rafiq Somani, the country manager for India, ASEAN and ANZ at ANSYS. This was followed with a keynote talk delivered by Sudhir Sharma, global industry director, High Tech, ANSYS. One of the most interesting sessions at the event was a panel discussion on "Engineering the Internet of Things". The topic is quite apt, as most other IoT related events tend to focus only on business aspects pertaining to how massive connectivity and big data affected systems and processes.
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.
ANSYS and BMW have announced plans to create the first holistic simulation toolchain for developing autonomous vehicle (AV) technologies. The simulation tool chain will enable highly automated and autonomous driving (AD) with the first vehicle launch expected in just two years. BMW Group is leveraging ANSYS' engineering simulation solutions to speed up the development of a safety-focused solution for the validation of AD systems. The multi-year agreement drives the development of BMW Group's Level 3 offering and Level 4-5 technology, delivering high/full automation for the highly anticipated BMW iNEXT, expected to launch in 2021. The new automated simulation toolchain will make efficient use of BMW s large amount of sensor data through intelligent data analytics and the creation of scenarios according to statistical relevance and AD system sensitivity.