The Latest News in AI

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

IBM Advances Quantum Dev With More Performance And Qiskit Functions

IBM Qiskit, used to develop quantum circuits, is being augmented with a Quantum Function Catalog, is also being updated to deliver faster performance to speed application development. When Qiskit launched in 2017, the Quantum development tool helped learners and...

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...

An Update On Intel And Habana Labs

Last week, I reported that Intel plans to switch its AI acceleration from Nervana technology to Habana Labs, which it acquired in December. Since Intel had planned to bring out both the inference and the training versions of Nervana’s second generation, this came as...

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...

Microsoft Builds Massive Supercomputer For OpenAI, But Whose Chips Are Inside?

Microsoft has announced that the company has built a top 5 AI supercomputer for OpenAI, hosted in the Azure cloud. Microsoft invested a billion dollars in the OpenAI industry research group in 2019. The massive system is comprised of some 10,000 GPUs and over 285,000...

Will Nvidia GTC Mark The Peak Of AI?

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...

NVIDIA Loses The AI Performance Crown, At Least For Now

For the first time, NVIDIA did not sweep the MLPerf table. While the era of its performance dominance may have come to an end, NVIDIA GPU’s flexibility and massive software ecosystem will continue to form a deep and wide moat. Meanwhile, Google, Intel, and Graphcore...

Cadence Supercomputer Appliance Enables Full-Scale Digital Twins

Computational Fluid Dynamics, or CFD, software simulates the flow of fluids around an object in fine detail and is indispensable to auto and aerospace manufacturers. But it takes a lot of FLOPS to simulate how a full system (a car, plane, jet engine, ...) behaves in...

NVIDIA Needed A CPU, But Did It Need To Buy Arm To Get One?

I often opine that NVIDIA needs a data center-class CPU to compete with Intel and AMD, both of whom have used tightly-coupled CPU/GPU technology to win the first three U.S. exascale supercomputer deals. Connecting massive GPUs to fast CPUs over a painfully slow PCIe...

Is Nvidia Competing With Its GPU Cloud Partners?

Nvidia recently announced two new cloud initiatives. First, the company announced DGX Cloud Lepton, designed to connect artificial intelligence developers with Nvidia’s wide network of cloud providers. Second, Nvidia announced a new cloud service, the Industrial AI...