The Latest News in AI

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

A Closer Look At Graphcore ML Performance

Greater scalability and new software increases performance by 50-fold over the last twelve months. Graphcore, the UK-based AI Unicorn, submitted a raft of new benchmarks to MLCommons in December, which we covered here. Performance improved significantly with the...

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A Look At Graphcore’s AI Software

Software for new processor designs is critical to enabling application deployment and optimizing performance. UK-based startup Graphcore, the unicorn provider of silicon for application acceleration, places significant emphasis on software, dedicating roughly half its...

NVIDIA AI Runs The Mlperf Table Again

Today, the industry standard AI benchmarking group, mlperf, released its 3rd raft of submissions for training AI networks, and just like the first two releases, NVIDIA swept a sparse competitive field in the category of commercially available hardware and software....

Eight Takeaways From NVIDIA GTC

New Hopper GPU, Grace Superchips, New OGX Server for Omniverse, Faster networking, New DGX Servers & Pods, Enterprise AI Software, 60 updated SDKs, Next-Gen Hyperion Drive, Omniverse Cloud, ... I could go on and on! But neither of us has the time, so... GTC always...

NVIDIA Again Claims The Title For The Fastest AI; Competitors Disagree

Intel Habana Labs and Graphcore add scale and software optimizations, while Google skips this round, choosing to put a stake in the ground for half-trillion parameter models. Every six months, the AI hardware community gathers virtually to strut their hardware stuff...

NovuMind: An Early AI Chip Startup

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...

SiMa.ai Sets A New Standard In Embedded Edge Power Efficiency

For power-constrained edge applications, SiMa tops the leader, NVIDIA Orin, according to the company’s recent MLPerf results and more. There’s big AI like ChatGPT, and then there is useful AI embedded at the edge. At in these environments, available power could be...

Synopsys Lays Out The Benefits Of AI

At the annual Synopsys User Group Meeting, CEO Aart de Geuss explains the industry dynamics in an engineering world transformed by AI. I won’t start this blog by talking about Chat GPT. You’re tired of hearing about it, right? But the same technology (reinforcement...

Qualcomm Doubles The Smart In Smartphones

For the last decade, a “smart phone” was defined by its ability to run applications locally on the device. These days, however, “smart” means features powered by AI, with intelligent applications such as enhanced computational photography, voice processing and gaming...

IBM Nears Breakthrough In New Memory Class

IBM Research has been working on new non-volatile magnetic memory for over two decades. Non-volatile memory is wonderful for retaining data without power, but it is extremely slow, and does not last forever. Primary computer memory (Dynamic Random Access Memory, or...

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...