The world of artificial intelligence (AI) is growing at an exponential rate, with a broad range of topics spanning from the latest CPUs, GPUs, ASICs and FPGAs that run modern AI workloads, along with the different types of AI usages, such as the different types of large language models (LLM) and how they are trained and then used for inference workloads. Here you'll find Tom's Hardware's leading coverage of all things AI.
Google may be building a TPU with on-package CPU cores specifically for agentic and reinforced learning workloads, according to a rumor.
They thought they could get away with it.
Ukraine intelligence claims that Russia's latest S-71 'Monochrome' cruise missiles use Nvidia's Jetson Orin NX modules with AI capabilities, allegedly for terminal guidance.
Elon Musk expects xAI to increase its nameplate power draw to 10 GW by late 2027, which will increase its performance by orders of magnitude what is available to AI today.
Cerebras keeps growing, but misses forecast as hardware sales dip amid explosive increase of AI cloud revenue.
European users of Anthropic's Claude models can expect that future versions of those tools will begin embedding digital marks in generated text and images to identify them as the product of AI.
Some fear that these books will be scanned and destroyed by machines, with no human ever setting their eyes on their content.
Nvidia to arrange financing from major financial institutions at attractive rates for customers seeking to build AI data centers.
A rogue OpenClaw tasked with booking a gym class for its user hacked into the system and removed another participant.
AI is useful, but you should never blindly trust it.
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