The Latest News in AI

We publish news articles on Forbes, which are copied here for your convenience.  

Our Year-End Newsletter

With the end of the year at hand, we first want to thank you for being a follower of Cambrian-AI Research, and share a few thoughts about the industry. Our community has grown tremendously thanks to you reading our many blogs on Forbes. EE Times, and on this...

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The Age of Chiplets is Upon Us

The idea of chiplets is simple: develop the best semiconductors for the needed functions using the most proper manufacturing process. Then combine an assortment of chiplets on a multi-die package, and voila! A lower-cost approach to advanced semiconductors. The...

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Who Has The Fastest AI Inference, And Why Does It Matter?

A food fight erupted at the AI HW Summit earlier this year, where three companies all claimed to offer the fastest AI processing. All were faster than GPUs. Now Cerebras has claimed insanely fast AI performance with their latest software running on the company’s...

Cadence Design Is Working With Renesas To Build The World’s First LLM Tool For Up-Front Chip Design

The company sees this as an augmentation, not a replacement, for its portfolio of reinforcement learning AI tools that improve the productivity of chip design teams, addressing the most challenging part of chip design. Cadence has been aggressively rolling out...

IBM Achieves Breakthrough In Quantum Computing

For the first time, IBM has used a quantum computer to solve a problem that that stumps the leading classical methods. This accomplishment marks a significant milestone in the path towards useful quantum computing systems and software. IBM has published a paper in...

NVIDIA Keeps The Performance Crown For AI Inference For The 6th Time In A Row

In The Data Center And On The Edge, the bottom line is that the H100 (Hopper-based) GPU is up to four times faster than the NVIDIA A100 on the newly released ​MLPerf V2.1 benchmark suite. The A100 retains leadership in many benchmarks versus other available products...

AMD Launches 3rd Generation EPYC

AMD’s new EPYC server chip promises better performance than Intel.

IBM Launches Granite 3.0 AI Models; Smaller, Faster, And 97% Cheaper

The newly optimized LLMs underpin AI transformation client engagements with IBM Consulting Advantage and Watsonx. The industry has been abuzz about the affordability of LLM-based generative AI. If we don’t improve the efficiency, users will struggle to achieve an...

Synopsys Laps Competition With Second Generation AI

EDA Leader Synopsys paints path to Software-Designed Si Last year, EDA leader Synopsys announced it had developed an AI chip design instrument called DSO.ai that could produce faster, lower cost, and more power-efficient chips by using an AI to figure out how to best...

MLPerf 5.1: Nvidia Stays In The Lead While AMD Shows Off Its Latest

The Nvidia juggernaught faces increased competition, but keeps innovating in silicon, software and systems design to keep its No. 1 position in the AI market. The industry standard MLCommons organization has just released the latest benchmarks for inference...

Can Groq Really Take On Nvidia?

The Silicon Valley startup has just raised an astonishing $640M in additional funding, and is valued at $2.8B. Have they captured AI Lightning in a bottle? Groq has announced a $640M Series D round at a valuation of $2.8B, led by BlackRock Private Equity Partners....

IBM Launches Quantum System Two And A Roadmap To Quantum Advantage

IBM announced its path to achieve over 100,000 qubits and over a billion circuit gates. When realized, IBM may create the world's first platform for universal computation in a quantum system. It sounds like Quantum Nirvana is finally in sight. Background Building a...