The Latest News in AI

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

NovuMind: An Early AI Chip Startup

by Karl Freund | Jun 3, 2019 | AI and Machine Learning, In the News

Last fall, a bit of nerdy controversy arose around AI chip startup NovuMind when the company announced its first low-power chip for processing neural networks. The company claimed that its patented design could natively process 3-D tensor data far more efficiently...

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GrAI Matter Labs: Brain-Inspired AI For The Edge

by Karl Freund | June 1, 2022 | In the News | 0 Comments

This article was written by Alberto Romero, Cambrian-AI Analyst, and Karl Freund, Cambrian-AI Founder.We recently tweeted about the startup GrAI Matter Labs (GML) and received a lot of questions about the company’s products and strategy. As one of the first startups...

Nvidia Ups Its Robotics Game With Blackwell-Based Jetson Thor

by Karl Freund | August 25, 2025 | In the News | 0 Comments

Nvidia focuses on maximum performance and efficiency. We’ve all heard the predictions: the Next Big Thing will be “Physical AI” (Nvidia) or “Embodied AI” (Qualcomm). Jensen Huang has predicted that in a decade, there will be more robots than humans on Earth. These...

Following MSFT & GOOG Lead, AWS Embraces Nvidia And Upgrades Own Chips

by Karl Freund | November 29, 2023 | In the News | 0 Comments

As expected, Amazon AWS CEO Adam Selipsky announced updated AWS-engineered AI Training and Arm CPU chips to lower the cost of cloud services. But AWS has a problem: they have kept Nvidia at arm’s length to their detriment as Microsoft Azure increases market share. To...

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

by Karl Freund | December 3, 2021 | In the News | 0 Comments

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...

BrainChip Readies 2nd Gen Platform For Power-Efficient Edge AI

by Karl Freund | March 6, 2023 | In the News | 0 Comments

The company’s event-based digital Neuromorphic IP can add efficient AI processing to SoCs. Edge AI is becoming a thing. Instead of using just an embedded microprocessor in edge applications and sending the data to a cloud for AI processing, many edge companies are...

Need A Chat-Bot For Your Business? Try NVIDIA NeMo.

by Karl Freund | March 16, 2023 | In the News | 0 Comments

Nemo can help organizations tailor AI Models to focus on a smaller domain; and perhaps avoid costly mistakes! Lesley Stahl: “Oh, my god. It's wrong!” The veteran reporter was aghast that Microsoft Bing could get something so easy so wrong. Ms. Stahl was interviewing...

Cadence Creates “True Hybrid” Cloud For Designers

by Karl Freund | April 11, 2024 | In the News | 0 Comments

Instead of having to choose to run on-prem or in the cloud, with attendant upload times and costs, the new True Hybrid offering from Cadence creates a dynamic environment for chip and system design. When creating a new chip, design teams currently have to chose...

ChatGPT: Massive Disruption

by Karl Freund | January 30, 2023 | In the News | 0 Comments

Our relationship with computers will never look the same. Here are the winners and losers. The web, the media, and my email are entirely full of ChatGPT missives and questions. I’ve spent hours with scores of investors, all wanting to understand the impact on...

Why Can’t NVIDIA Be Bested In MLPerf?

by Karl Freund | November 8, 2020 | AI and Machine Learning, In the News | 0 Comments

MLPerf, an industry consortium of over 70 companies and institutions, has released the second round of AI Inference processing results. These benchmarks now represent production applications from all major areas of AI deployment today. But only a few technologies...

Will Nvidia GTC Mark The Peak Of AI?

by Karl Freund | March 6, 2024 | In the News | 0 Comments

In these explosive times and stock market surges, let’s look at where we might find the nuggets of new growth. Nvidia will focus on additional growth opportunities in Inference processing, Software, Edge, and Automotive; Nvidia is nowhere near Peak AI. Yes, GTC is a...