News highlights: New Arm Ethos-U85 NPU delivers 4x performance uplift for high performance edge AI applications such as factory automation and commercial or smart home cameras New Arm IoT Reference Design Platform, Corstone-320, brings together leading-edge embedded IP with virtual hardware to accelerate deployment of voice, audio, and vision systems With a global ecosystem of […]
New edge-optimized processors and FPGAs bring AI everywhere across edge computing markets including retail, industrial and healthcare. What’s New: Today at Embedded World, Intel and Altera, an Intel Company, announced new edge-optimized processors, FPGAs and programmable market-ready solutions extending powerful AI capabilities into edge computing. These products will power AI-enabled edge devices applicable to industries across
Intel and Altera Announce Edge and FPGA Offerings for AI at Embedded World Read More +
Highly integrated Linux® and Android™ SoCs and dev kit are optimized for consumer, enterprise, and industrial applications and deliver an ‘out-of-the-box’ edge AI experience. San Jose, CA, April 8, 2024 – Synaptics® Incorporated (Nasdaq: SYNA) today launched the Synaptics Astra platform with the SL-Series of embedded AI-native Internet of Things (IoT) processors and the Astra
Titanium Ti375 FPGAs set the bar for high performance compute at the edge for smart devices with low power, paving the way for edge intelligence April 08, 2024 12:01 AM Eastern Daylight Time–CUPERTINO, Calif.–(BUSINESS WIRE)–Efinix®, an innovator in programmable logic solutions, today announced its Titanium Ti375 high performance FPGA is now shipping in sample quantities
Europe’s largest private AI lab, Silo AI, is committed to strengthening European digital sovereignty and democratizing access to European large language models (LLMs). Together with University of Turku’s research group TurkuNLP and HPLT, Silo AI releases the first checkpoints of Viking, an open LLM for all Nordic languages, English and programming languages. Viking provides models
Viking 7B/13B/33B: Sailing the Nordic Seas of Multilinguality Read More +
Oversubscribed $70M round led by Maverick Capital increases SiMa.ai’s total amount raised to $270M; funding will speed release of next generation AI/ML chip to power multimodal generative AI at the edge SAN JOSE, Calif., April 4, 2024 – SiMa.ai, the software-centric, embedded edge machine learning system-on-chip company, today announced it has raised an additional $70M
SiMa.ai Secures Funds and Readies New Generative Edge AI Platform Read More +
Versatile, wireless and secure system-on-module based on the STMicroelectronics STM32MP25 processor improves efficiency, reduces costs and enables edge processing for innovative new devices MINNEAPOLIS, April 4, 2024 – Digi International (NASDAQ: DGII, www.digi.com), a leading global provider of Internet of Things (IoT) connectivity products and services, is poised to introduce the wireless and highly power-efficient
3rd of April 2024 – FRAMOS, a leading global expert in vision systems, dedicated to innovation and excellence in enabling devices to see and think, is pleased to announce the Last Time Buy deadline for all Sony CCD Sensors. In line with Sony’s previous notification on January 15th, 2015, where Sony notified its customer about
FRAMOS Announces Last Time Buy Deadline for Sony CCD Sensors Read More +
Hailo’s funding now exceeds $340 million as the company introduces its newest AI accelerator specifically designed to process LLMs at low power consumption for the personal computer and automotive industries, bringing generative AI to the edge. TEL AVIV, Israel, April 2, 2024 — Hailo, the pioneering chipmaker of edge artificial intelligence (AI) processors, today announced
2nd of April, 2024 – As Elite members of the NVIDIA Partner Network and part of the NVIDIA Jetson ecosystem, FRAMOS and Aetina have combined their strengths to showcase solutions for embedded device innovators at ISC West 2024, April 9-12 at The Venetian Expo, Las Vegas. This cooperation brings the collective benefits of FRAMOS’ FSM:GO
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