For over two decades in the HR industry, I have witnessed the shifts and changes in how organizations identify and secure talent. The transition from handwritten applications to digital resumes was ...

Pichai's "agent manager" quote made headlines. The rest of the interview reveals a timeline, infrastructure constraints, and ...

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The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

On March 24, 2026, Google Research announced a new suite of compression techniques for large-scale language models and vector search engines: TurboQuant, PolarQuant, and Quantized ...

Google's TurboQuant algorithm significantly reduces memory usage for large language models. Memory chipmakers could face pressure, but investors may be worrying too much. This industry, and one ...

Google released the March 2026 core update today, the company announced. This is Google’s first core update of 2026. It follows the quick March 2026 spam update from a couple of days ago and the ...

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...