Artificial Intelligence
AI-powered tram senses mood on board and prevents disturbances
A tram or bus may in the future be able to sense the atmosphere inside the vehicle. Coordinated by VTT Technical Research Centre of Finland, the research project explores how artificial intelligence can be used to build situation-aware services for physical spaces.
ASRock and Canonical partner on Edge AIoT
ASRock Industrial and Canonical have partnered to bring Ubuntu Pro for Devices to the entire range of robust Edge AIoT platforms.
EU consortium PREVAIL to open services to customers
The European Union consortium PREVAIL, created to accelerate the development of next-generation Edge artificial intelligence (AI) technologies, will open its services to external customers in June 2025.
TRI and Bosch develop AI solution for MEMS packaging
Test Research, Inc (TRI) is pleased to announce its successful partnership with Bosch in the development of an AI visual check solution for MEMS packaging.
TI teams with NVIDIA to power AI infrastructure
Texas Instruments (TI) is working with NVIDIA in the development of power management and sensing technologies for 800V high-voltage direct current (HVDC) power distribution systems for data centre servers.
AI is getting better at coding, but mistakes still happen
AI coding tools like GitHub Copilot, Amazon CodeWhisperer, and Hostinger Horizons have transformed software development. They can handle routine code tasks, offer instant suggestions, and even provide ready-to-use software. However, they are not magic oracles of error-free code.
Frenetic uses AI and ML to enhance Cloud magnetics speed and accuracy
Frenetic Electronics has announced Frenetic AI, an AI-powered assistant that helps engineers design power converters. The company has also announced significant upgrades to Frenetic Magnetic Simulator, its Cloud platform that allows engineers to simulate and design high-frequency inductors and transformers up to 95% accuracy.
Imagination "embraces" Edge AI capabilities in its GPUs
Imagination Technologies recently released its E-Series of GPUs, notably with Edge AI capabilities. Kristof Beets, VP of Product Management at the company took Electronic Specifier through the solution, discussing integrating Edge AI, the importance of flexibility, and how GPUs are best-placed to run AI workloads.
Pulsar: the mass-market neuromorphic microcontroller for the sensor Edge
Innatera has announced the launch of Pulsar, its first commercially available microcontroller to bring brain-like intelligence into Edge devices. Born from more than a decade of pioneering research, Pulsar delivers up to 100X lower latency and 500X lower energy consumption than conventional AI processors. With this breakthrough, Innatera brings a new class of ultra-efficient, brain-inspired intelligence directly to the sensor Edge. ...
Addressing AI limitations in traditional computing
As artificial intelligence (AI) becomes increasingly integrated into sectors such as healthcare, autonomous vehicles and smart cities, traditional computing architectures face significant limitations in processing speed and energy efficiency.