#ai hardware
Ai Hardware: 22 AI articles covering ai hardware news, analysis, and research
Articles
EBook – Accelerate Silicon Design for Physical AI (Part 1)⭐9
Discover how silicon design is evolving for Physical AI in 2026—real-time processing, energy efficiency, and safety innovations.
Nvidia's $3.5B MediaTek Bet Reveals Its Strategy for Big Tech's⭐8
Nvidia invests $3.5B in MediaTek to enable custom AI chip designs, securing its role in data centers amid big tech's push for tailored silicon.
a16z Launches $1.1B ‘Machine Age’ Fund to Accelerate AI’s⭐7
a16z launches a $1.1B 'Machine Age' fund to invest in AI's physical infrastructure: chips, data centers, and robotics.
Etched's Valuation Doubles to $21B in a Month, Fueled by Jane⭐7
Etched's valuation soars to $21B after Jane Street-led funding, fueled by new low-voltage inference chips and cluster-scale memory technology.
Research Bits: August 18 – Advances in Chip Design and Manufacturing⭐9
Research Bits highlights advances in chip design, manufacturing, and test, including low-power SRAM, 2D materials, and AI-driven defect detection.
OpenAI's New AI Smart Speaker Reportedly Priced Between $300 and $400⭐8
OpenAI's AI smart speaker, priced at $300-$400, features a donut-shaped premium design with moving parts, launching in 2027 amid Apple lawsuit.
Jony Ive's First OpenAI Device Surfaces as a Hockey Puck-Sized⭐8
Jony Ive's OpenAI smart speaker, a hockey puck-sized device, blends minimalist design with AI, targeting a 2026 launch at over $300.
Chip Industry Technical Paper Roundup: August 2026⭐9
Chip industry research roundup for August 2026: advanced nodes, AI-driven EDA, packaging innovations, and emerging computing paradigms shaping semiconductor des...
A behind-the-scenes look at Midjourney’s medical scanner leaves⭐8
Behind-the-scenes look at Midjourney's new medical scanner raises skepticism due to missing clinical data, regulatory details, and validation.
Anthropic in Talks with Samsung Over Custom AI Chip Development⭐8
Anthropic is in talks with Samsung to develop custom AI chips, aiming to reduce reliance on Nvidia and diversify its hardware stack amid industry competition.