The Latest News in AI

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

Qualcomm Research Examines On-Device AI Learning

On-device training capability would enhance the user experience while protecting privacy. We’ve all had those frustrating experiences with our mobile phones when the voice assistant seems to possess artificial stupidity instead of artificial intelligence. The real...

Cadence Design Announces Second-Generation IP For Edge AI

AI is penetrating nearly every market and every device, causing leading microprocessor developers to rethink their SoC to enable fast AI execution at low power. The global edge AI hardware market size was valued at $6.88 billion in 2020, and is projected to reach...

Cerebras, 23’s Most Successful AI Startup, Sees A Bright Future

With revenue and customer commitments approaching $1B, Cerebras’ Wafer Scale Engine has likely generated more business than all other startup players combined. Needless to say, CEO Andrew Feldman is feeling pretty bullish about 2024. As previously discussed, Cerebras...

News Flash: NVIDIA Remains The Fastest Available AI Accelerator

Ok, while that is hardly surprising news, given the comfortable lead NVIDIA enjoys, Google’s upcoming TPUv4 out-performed NVIDIA on three of eight benchmarks on a chip-to-chip basis, while Graphcore’s performance and price/performance is in the ball park. Meanwhile,...

Qualcomm Ups The Snapdragon AI Game

The leader in premium mobile SoCs has applied AI across the entire platform. At the annual Snapdragon Summit in Hawaii, Qualcomm unveiled the next Snapdragon 8 Gen 2 for premium mobile devices. As usual, it is a tour de force of features that make Qualcomm-powered...

How To Run Large AI Models On An Edge Device

It can be done, but it requires the edge device vendor to work to optimize the model. A hybrid approach can also extend the applicability of LLMs by combining Cloud and Edge processing. When most people think of Artificial Intelligence (AI), they imagine a berserk...

Could AI Help Solve The Global Chip Shortage?

In part, yes. We could tap into unused manufacturing capacity using AI, and Synopsys believes it has the AI that could do it. Today’s chip shortage is holding back global economic growth, fueling inflation, and making life difficult for consumers and businesses alike....

Synopsys Opens The Next Chapter Of AI Tools For Chip Design And Manufacturing

The EDA leader has generated over $500M to date in AI tools and technologies. Now a new data analytics solution applies data management, curation, and analysis across the entire pipeline of chip creation. Synopsys was the first EDA company to apply AI to chip design,...

Nvidia’s New HW Alleviates Concerns For Blackwell Transition

I awoke Sunday morning to an article in The Information written to instigate fear, uncertainty and doubt amongst Nvidia investors and users. Don’t worry. Nvidia’s got this. The article circulating this weekend highlighted the thermal challenges some customers face...

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...