The Latest News in AI

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

My 2026 AI Predictions Have A Few Surprises

OK, I haven’t done this in a while; no excuse other than laziness. But here are ten concrete, defensible predictions for AI in 2026, with a bias toward things that materially matter for infra, enterprises, and policy. 1. Agentic AI moves from demos to staffed “digital...

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Cerebras Gets Into The Inference Market With A Bang

Cerebras’ Wafer-Scale Engine has only been used for AI training, but new software enables leadership inference processing performance and costs. Should Nvidia be afraid? As Cerebras prepares to go public, it has expanded its target markets and competitive stance by...

Don’t Trust AI? NVIDIA Guardrails May Lower Your Anxiety, And Save Your Job.

A new Nemo Open-Source toolkit allow engineers to easily build a front-end to any Large Language Model to control topic range, safety, and security. We’ve all read about or experienced the major issue of the day when it comes to large language models (LLMs). “My LLM...

Qualcomm’s Vision: The Future Of … AI

Mobile Chip Leader’s AI Starts In Mobile, And Grows To The Clouds Company acquires assets from Twenty Billion Neurons GmbH to bolster its AI Team. Qualcomm Technologies (QTI) is running a series of webinars titled “The Future of...”, and the most recent edition is on...

Are AI Venture Investors Crazy, Or Are Groq And Sambanova Worth It?

Groq and Sambanova AI unicorns take in additional ~#1B in funding; customers must like what they see. UK AI leader Graphcore has raised some $700M to date. Intel purchased Habana Labs for $2B. Alibaba is spinning out their AI chip development business. Now two silicon...

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...

Meta Builds World’s Largest AI Supercomputer With NVIDIA For AI Research And Production

There are big implications, for both companies, beyond just bragging rights. Facebook, I mean Meta, has always been one of the industry leaders when it comes to AI research and deployment. The company processes hundreds of trillions (yes, trillions with a “T”) of...

AI Inference Is King; Do You Know Which Chip is Best?

Everyone is not just talking about AI inference processing; they are doing it. Analyst firm Gartner released a new report this week forecasting that global generative AI spending will hit $644 billion in 2025, growing 76.4% year-over-year. Meanwhile, MarketsandMarkets...

Nvidia Sweeps Benchmarks. AMD Is MIA, Again

It should not surprise anyone: Nvidia is still the fastest AI and HPC accelerator across all MLPerf benchmarks. And while Google submitted results, AMD was a no-show. This blog has been corrected on 11/14 with a fresh TPU Trillium vs. Blackwell comparison. Say what...

The IBM Research AI Hardware Center: Solid Progress, Aggressive Goals

IBM AI acceleration technologies are becoming so good, most AI chip companies would be better off licensing core AI tech from IBM. Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s...

Synopsys Has Helped Over 100 Clients Use AI To Accelerate Chip Design

The company’s DSO.AI is helping chip designers run more experiments, make smaller chips, and speed performance. Three years ago, EDA vendor Synopsys started helping clients use reinforcement learning, an AI technique, to accelerate and improve physical chip layout...