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 Lands Huge AI Deal: A 36 Exaflop Monster

The Wafer-Scale Engine company has been working for 8 years to break into the top tier of AI computing. This deal might just assure its success. We have been watching Cerebras for a long time, from its launch of the first wafer-scale engine for AI to its recent...

Untether AI Touts “At-Memory” Architecture, Promising Efficiency And Performance At The Edge

Every AI hardware startup begins at square one: design a novel architecture to accelerate deep neural network training and inference processing. Some focus on training, where performance is king, where even price is a secondary consideration in these early days of AI....

Qualcomm Cloud AI100 Ultra: 4 Times The Performance For Large Models

We haven't heard from Qualcomm in a while regarding their power-efficient data center inference accelerator, which still holds the record for power efficiency, according to MLCommons benchmarking. Now Qualcomm has announced a new “Ultra” version that delivers four...

AI Enables Major Healthcare Advances At JP Morgan Event

How do we create AI in Healthcare? If you are like me, when you see your doctor, the constant probing for data can be somewhat annoying. First, you fill out forms with endless questions about your medical and familial history. Then, your doctor asks about your...

How AI Changes The Role Of Memory Companies And Their Value

As GPU’s become a bigger part of data center spend, the companies that provide the HBM memory needed to make them sing are benefitting tremendously. AI system performance is highly dependent on memory capacity, bandwidth and latency. Consequently, memory technology is...

AI Training: “I’m Not Dead Yet!”

With so much focus on inference processing, it is easy to overlook the AI training market, which continues to drive gigawatts of AI computing capacity. The latest benchmarks show that the training of AI models, an immense investment in power and compute, continues to...

Flex Sees Opportunities In The New AI Data Center

Data center cooling is hot. At least it’s becoming a hot market, with industry projections likely to increase as the Nvidia Blackwell GPU push increases the percentage of silicon that requires liquid cooling. Goldman Sachs estimates the server cooling market is...

BrainChip Sees Gold In Sequential Data Analysis At The Edge

Unlike in image processing or large language models, few AI startups are focused on sequential data processing, which includes video processing and time-series analysis. BrainChip is just fine with that. With all the buzz around LLM generative AI, it is understandable...

NeMo Megatron Reinforces NVIDIA AI Leadership In Large Language Models

LLMs are changing AI, and NVIDIA is changing its platform to excel in this fast-growing field Alberto Romero, Cambrian-AI Analyst, contributed to this story Transformer-based large language models (LLMs) are reshaping the AI landscape today. Since OpenAI established...

Xilinx Enters The SmartNIC Market

The CPU in today’s data center is increasingly burdened by the need to process networking jobs. According to Xilinx’s VP Marketing for Data Center Products, Donna Yasay, networking stacks can tax CPUs up to 30%, robbing them of the cycles needed to run users’...