Always looking forward for a chance to return to my home away from home of Silicon Valley, I jumped at the opportunity to attend my first-ever hardware focused conference, the 2024 AI Hardware and Edge AI put on by Kisaco Research. The event took place Sept. 9-12, 2024 in beautiful San Jose, Calif., the heart of Silicon Valley.
insideAI News – Company Highlights for AI Hardware and Edge AI Summit 2024
September 3, 2024 by Leave a Comment
insideAI News is pleased to announce being a Media Partner for the upcoming AI Hardware & Edge AI Summit happening Sept. 9-12, 2024 in San Jose, Calif. Register now using the special insideAI News discount code “Insideai15” HERE. Editor-in-Chief & Resident Data Scientist, Daniel D. Gutierrez will be attending in-person to keep a pulse on this advancing industry. He will be conducting interviews with some of the movers and shakers from the AI industry ecosystem.
Ambiq Optimized AI Features Development with neuralSPOT
November 23, 2022 by Leave a Comment
Ambiq®, a technology pioneer in ultra-low power semiconductor products and solutions, introduced neuralSPOT®, an open-source AI developer-focused SDK designed for Ambiq’s latest Apollo4 Plus system on chip (SoC) family. While leveraging Ambiq’s proprietary SPOT® platform, neuralSPOT unlocks a game-changing, multi-fold improvement in energy efficiency for our end customers’ electronic products. The SDK encompasses essential software and tools for developers to advance AI features for their applications.
OrionVM and Blaize Launch New AI-as-a-Service (AIaaS) Offering
September 7, 2022 by Leave a Comment
OrionVM®, Infrastructure as a Service (IaaS) provider and cloud computing pioneer, announced the addition of technology partner Blaize®, the artificial intelligence (AI) computing innovator revolutionizing edge and automotive computing solutions, to create a new AI as a service (AIaaS) offering. This first-of-its-kind partnership will empower organizations across multiple industries to launch their AI solutions more quickly and efficiently, including machine learning across vast data sets.
