AI

Neurxcore, the French AI processor startup, has launched a Neural Processor Unit (NPU) line for AI inference applications. It is built on an enhanced and extended version of the open-source NVIDIA’s Deep Learning Accelerator (Open NVDLA) technology, combined with patented in-house architectures. The primary focus of the SNVDLA IP  from Neurxcore is  on image processing, including classification and object detection. SNVDLA ...

AI has become a transformative force in various sectors, driving a global wave of innovation and automation, say Ioannis Konstantelos and Dennis Xenos. AI systems have acquired their capabilities through learning, fuelled by training on vast amounts of data. This ongoing revolution prompts the question: what is the next frontier to be conquered? Beyond the novel consumer applications the implications ...

SiFive has announced a pair of high-end RISC-V cores for AI and machine learning in consumer, automotive and infrastructure markets. “Performance P870 and Intelligence X390 offer a new level of low power compute density and vector compute capability, and when combined provide performance for data intensive compute,” according to the company, which is advocating combining the general-purpose scalar P870 with ...

AMD says it will buy Nod.ai to boost its AI capabilities. Nod.ai, a Santa Clara startup, has raised around $36.5 million, says PitchBook. Nod.ai created the SHARK Machine Learning Distribution, which is built on LLVM, MLIR, OpenXLA’s IREE and Nod.ai’s tuning. Nod.ai’s software can accelerate the deployment of AI models across systems using AMD’s Instinct data centre accelerators, Ryzen AI ...

The University of Tokyo has demonstrated a near-autonomous drone-based system to identify the perfect day to pick a crop. “Harvesting a field as little as a day before or after the optimal time could reduce the potential income of that field for the farmer by 3.7% to as much as 20.4%,” said Tokyo researcher Wei Guo. “But optimum harvest times ...

Renesas has created interfaces between its Reality AI Tools  and its e2 studio integrated development environment, enabling designers to  share data, projects and AI code modules between the two programs. Modules for real-time data handling have been integrated in Renesas MCU Software Development Kits Flexible Software Package (FSP) for RA, Firmware Integration Technology (FIT) for RX and Software Integration System ...

Compact embedded AI technologies are creating new possibilities for medical device manufacturers, says Peter Marek. The advent of big data, machine learning (ML) and artificial intelligence (AI) has enabled medical researchers to gain deep insights by analysing vast amounts of patient data. These insights can help doctors to take better decisions, diagnose more precisely and treat patients with fewer side ...

Drone racing has joined the list of activities where AI beats humans – in multiple races against three world-class humans in this case – following research at the University of Zurich and Intel. “Physical sports are more challenging for AI because they are less predictable than board or video games,” said Zurich head of robotics and perception Davide Scaramuzza. “We ...

Synopsys has extended its Synopsys.ai full-stack EDA suite with an AI-driven data analytics continuum for every stage of  IC  development. The Synopsys EDA Data Analytics solution claims to be the first of its kind in the semiconductor industry to provide AI-driven insight and optimisation to drive improvements across exploration, design, manufacturing, and testing processes. The product combines the latest advances ...

Space missions’ functions are changing, says Ken O’Neill, of AMD, and it is clear that AI will play a role as datasets expand the final frontier. Space missions today must satisfy constantly increasing expectations for higher volume and quality data to inform activities such as climate studies, weather forecasting, geospatial mapping and disaster mitigation. There is also growing interest in ...