NXP is using Electra Vehicles' EVE-Ai 360 Adaptive Controls technology to use digital twin models in the cloud to predict and control the physical BMS in real time, to improve battery performance, battery state of health of up to 12% and enable multiple new applications, such as EV fleet management. Batteries remain the costliest element in an electric vehicle (EV), and AI-powered digital twin cloud services have the potential to improve estimations of the battery's state of health (SOH) and state of charge (SOC) to deliver improved efficiency, lifetime and cost. Battery digital twins adapt to ongoing changes in battery health due to operating conditions and provide updated figures back to the BMS for continuously improving control decisions. Carmakers can use the technology to provide driver insights, such as range and speed recommendations. In addition, adaptive battery control can improve the battery's performance and safely extend its lifespan, reducing warranty costs for the carmaker.

Creating a vaccine involves examining the structure of the virus and identifying its spike protein which is used to gain entry to the host's cells. Antibodies that target the spike protein can block the virus and inhibit replication. In the case of the Covid-19 virus, the genetic sequence of the virus was released in January 2020 to allow developers around the world to have a blueprint for their research. Typically, drugs are developed by pharmaceutical companies analysing chemical compounds to assess properties in a drug, for example absorption rates, metabolic stability, binding strengths and so forth. Today's commercially available anti-viral therapeutics target diseases like influenza, hepatitis C, chickenpox, papilloma and AIDS and the R&D activities to model properties for future anti-viral therapeutics are a significant part of the typical $2.5 billion cost of a new drug.

Together, Altair and LG will promote research and development and the construction of a simulation platform. The two companies will share information in priority fields of research, including computer-aided engineering (CAE), data analytics, automation, and more. In addition, the two companies plan to build a more advanced digital transformation development environment by integrating LG's product development technology with Altair's simulation and AI technology. Together, the companies will cooperate on CAE/automation platform development and digital twin technology, which LG uses to develop products. "Altair has the advanced simulation, high-performance computing, and data analytics technology to support manufacturing companies as they develop products quickly and efficiently," said Sam Mahalingam, chief technology officer, Altair.

Deci's proprietary Automated Neural Architecture Construction (AutoNAC) technology automatically generated the new image classification models that improve all published models and deliver more than 2x improvement in runtime, coupled with improved accuracy, as compared to the most powerful models publicly available such as EfficientNets, developed by Google. While GPUs have traditionally been used in convolutional neural networks (CNNs), CPUs are a much cheaper alternative. Although it is possible to run deep learning inference on CPUs, they are significantly less powerful than GPUs and, as a result, deep learning models typically perform 3-10X slower on a CPU than on a GPU. DeciNets significantly close that performance gap so that tasks, that previously could not be carried out on a CPU because they were too resource intensive, are now possible. Additionally, these tasks will see a marked performance improvement.

Tactaxis is a fully integrated tactile sensor that is compact, soft and provides the 3D force vector acting on its surface. This will help to improve robots' hands and grippers, making it possible to carry out delicate operations such as fruit picking possible. The technology has been successfully implemented in a functioning prototype. The sensor is accompanied by a magnet which is embedded into an elastomer material. This presents a soft contact interface, emulating the attributes of human skin.