Install
- 61articles · 30d
- 1+ day agolatest article
- Aug 17, 2026earliest in window
- 87%with images
- 251avg words
- Computers & Electronics 43
- Science & Technology 41
- Hardware 32
- Economy, Business & Finance 20
- Science & Nature 14
- News 12
- Industrial 8
- Internet & Telecom 4
Please confirm you are human
This browser or connection looks automated. Press and continuously hold the control for 3 seconds to enable Google-hosted web results and, when separately allowed, AI-assisted answers.
A successful check enables 100 search requests. Interactive access does not authorize scraping, systematic collection, or reuse of search output.
News
Alif Semiconductor Launches Low-cost StartKits for Edge AI MCUs
1+ day, 3+ hour ago (260+ words) Home » Embedded Systems » Alif Semiconductor Launches Low-cost StartKits for Edge AI MCUs Alif Semiconductor has introduced a new family of low-cost evaluation boards for its Edge AI-enabled Ensemble and Balletto microcontrollers, aimed at lowering the barrier to developing low-power, on-device…...
AMD Bets on Heterogeneous SoCs to Break GPU Dominance in Robotics
2+ week, 12+ hour ago (907+ words) Home » Processors/Controllers » AMD Bets on Heterogeneous SoCs to Break GPU Dominance in Robotics AMD is betting physical AI, specifically robotics, will be better served by its heterogeneous SoC over big GPUs. The company launched its Ryzen AI X100, which combines…...
Uniform x86 Cores for Real-Time AI: Reducing the Hybrid-Core Tax in Physical AI Systems
2+ week, 4+ day ago (839+ words) Home » AI » Uniform x86 Cores for Real-Time AI: Reducing the Hybrid-Core Tax in Physical AI Systems Why hybrid x86 cores miss robotics deadlines: timing drift from P/E core mixing, unequal AVX width, and CPU-GPU copies. AMD Ryzen AI Embedded X100 answers with…...
STMicroelectronics and NUS Launch HELIX Lab to Advance Low-Power Edge AI
2+ week, 6+ day ago (443+ words) Home » Embedded Systems » STMicroelectronics and NUS Launch HELIX Lab to Advance Low-Power Edge AI Four-year research initiative will combine AI, memory, chip design, and semiconductor technologies to develop efficient edge AI systems. STMicroelectronics and the National University of Singapore (NUS)…...