We’re talking Embedded World, TSMC and Chips Act money, AI, MCUs and design competitions… The Electronics Weekly team share some fingerposts – their picks of the week, in terms of announcements, developments, product releases, quotes or anything else in the wide world of electronics that caught their eye… Caroline Hayes, editor For me it’s: Mouser signs Edge Impulse; accelerates intelligence ...
Mouser reflected one of the major themes at Embedded World 2024, intelligence at the edge, and announced it has signed Edge Impulse, the software framework provider for embedded machine learning (ML) applications. Machine learning is implemented at the edge of the network, explained Mouser’s Mark Patrick in order to make decisions very quickly at the [network] edge. [Edge Impulse’s] products ...
Infineon has had its forthcoming TC4x automotive microcontrollers cleared for safe AI processing by the Fraunhofer Institute for Cognitive Systems (IKS). “Embedded AI is becoming increasingly important for safety-critical real-time applications,” said Infineon. “However, this also creates new requirements and standards that must be considered during the complete product lifecycle.” The TC4x family includes ‘PPU’ (parallel processing unit), an AI-accelerator ...
The introduction of the Blackwell platform generated a lot of interest but also some searching questions. Electronics Weekly spoke to Keith Townsend, global technology advisor for the Futurum Group who reflected on Nvidia‘s announcement of its Blackwell platform and its leap in performance. “These are intriguing times,” he said. The announcement of Blackwell makes for interesting conversation around scale. Blackwell ...
Alif Semiconductor has put an Arm Ethos-U55 neural processor alongside a Bluetooth Low Energy radio in a microcontroller for AI and machine learning workloads – all in a tine WLCSP package. It is called Balletto. “Balletto gives manufacturers the opportunity to implement AI/ML functions such as speech recognition, adaptive noise cancellation, vocal targeting and beam forming in true wireless stereo ...
Arm has announced its most powerful microcontroller-grade neural processor, which will reach 4Top/s in its maximum configuration and is 20% more power efficient that its previous neural processors. Named Ethos-U85 and configurable with between 128 and 2,048 MACs, it is intended to have enough performance to locally run heavy AI algorithms such as ‘transformers’, as well as convolutional neural networks. ...
Barcelona-based Semidynamics is aiming at next-generation AI chips and algorithms such as transformer with intellectual property called ‘All-In-One AI’. Rather than having on the same IC a multi-core CPU, a multi-core GPU for vector processing and a multi-core neural processor for tensor processing, it is advocating multiple instances of a block consisting of one out-of-order 64bit RISC-V CPU, one (GPU-like) ...
Red Semiconductor has announced RISC-V instruction set extensions, and a hardware design, for edge AI and cryptography in asics and FPGAs. The hardware, called ‘VISC’, is an accelerated RISC-V core that “optimises complex mathematical algorithms for parallel execution in its reconfiguration hardware engine”, according to Red, which claims: “The VISC ISA [instruction set] enables developers to describe complex algorithms in ...
The BeagleBoard organisation has introduced a 4Top/s-capable AI processor in Raspberry Pi form factor, built around a Texas Instruments AM67A vision processor. Called a link to suitable Debian XFCE Linux distribution, it “AM67A features a quad-core 64bit Arm CPU subsystem, two general-purpose DSPs and matrix-multiply-accelerators, GPU, vision and deep learning accelerators, and multiple Arm Cortex-R5 cores for low-latency GPIO control”, ...
We're talking Nvidia NIMs (Nvidia Inference Microservices) for healthcare, AI, South Korean AI startups, researchers working on Diamond CMOS, and NASA’s Jet Propulsion Laboratory...
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