This blog post was originally published at Synopsys’s website. It is reprinted here with the permission of Synopsys. AI is quickly emerging from its digital confines as something new: physical AI. This evolving incarnation pushes beyond the realm of information — code, text, images, video — and enables machines to sense, decide, and act in the […]
Physical AI: Bridging Silicon, Software, and the Real World Read More +
h3>Smaller, multi-camera platform enables scalable Ethernet architectures for NVIDIA Edge AI systems while lowering power, cost and integration complexity CHANDLER, Ariz., August 11, 2026 — The shift toward compact, high‑performance edge AI systems is redefining sensor connectivity, pushing developers to deliver power‑ and space‑efficient architectures that remain secure, scalable and future‑ready. To address these challenges, Microchip
Whisper runs end-to-end on Chimera. Encoder and decoder compiled as native GPNPU kernels, INT4 weights, FP16 attention, top-1 token match against the float32 reference. Scales to four cores with a flag, no recompile. This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. I ran a
Your NPU Learned to Listen Read More +
This blog post was originally published at Synaptics’ website. It is reprinted here with the permission of Synaptics. Developers and system architects today face a growing demand to enable large language model variants on device. They are facing pressure to support transformer-capable models on constrained devices to ensure data privacy, eliminate cloud API charges, and provide
The Edge LLM Offload Story: How Synaptics Torq™ Enables High-Efficiency Gemma™ Inference Read More +
Yole Group has released Automotive Semiconductor Trends 2026, a new market report examining how electrification, advanced driver-assistance systems, centralized computing and software-defined vehicle architectures are reshaping the automotive semiconductor industry. Yole forecasts that the market will more than double from $77 billion in 2025 to $160 billion in 2031, representing a compound annual growth rate
Yole Group Forecasts Automotive Semiconductor Market Will Double to $160 Billion by 2031 Read More +
Qualitas Semiconductor, a leading provider of high-speed semiconductor IP, presents its cutting-edge IP portfolio powering the next generation of SoCs. From advanced interfaces like PCIe Gen6, UCIe 2.0, and MIPI, to silicon-proven PHY designs on advanced process nodes, Qualitas IP enables chip designers to push the boundaries of performance, power efficiency, and time-to-market.
Qualitas Semiconductor – From High-Speed Interfaces to Silicon Validation Read More +
Hsinchu, Taiwan – August 3, 2026 – Andes Technology, a leading supplier of high-performance, low-power 32/64-bit RISC-V processor cores and AI acceleration solutions, and a Founding Premier member of RISC-V International, proudly announces a major, synchronized evolutionary leap in its AI portfolio: the launch of the AndesAIRE™ AnDLA™ I370 v2.0 Deep Learning Accelerator IP and the
See NovaEyeD in action — ModelNova™’s production-ready Edge AI face recognition model — demonstrated live at the STMicroelectronics booth during the 2026 Embedded Vision Summit. In this demo, we walk through how NovaEyeD delivers efficient, real-time face recognition directly on ST’s STM32N6 MCU, helping ST customers maximize the potential of their silicon. See what makes
NovaEyeD: Real-Time Face Recognition on ST’s STM32N6 Read More +
Ritik Shrivastava, Solutions Architect at BrainChip, demonstrates Akida micro-doppler radar classification, a powerful radar-based object classification solution that runs entirely on-device without internet connection. Shrivastava showcases a live demo using BrainChip’s AKD1500 card attached to a Raspberry Pi, where the system detects and classifies between a bird and drone target in real time using radar.
BrainChip Demonstration of the Company’s Always-On Radar-Based Edge Classification Read More +
Tharak Krishnan, Director of Product Management at BrainChip, demonstrates the AKD1500 — BrainChip’s ultra-low power Edge AI Co-Processor — at the 2026 Embedded Vision Summit. Already deployed in real-world applications such as epileptic seizure prediction and drowning swimmer detection, the AKD1500 is purpose-built for use cases where power consumption and battery life are critical constraints.
BrainChip AKD1500 Edge AI Co-Processor Demo: Ultra-Low Power AI Inference at the Edge Read More +
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