If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

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 ...

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 ...

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...

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 ...

At the Anti-Defamation League’s Never Is Now conference this month, one of the most crowded sessions attempted to answer the question: Are artificial intelligence chatbots antisemitic? In a packed ...

Taiwan Semiconductor Manufacturing produces most of the advanced AI chips used in data centers. The company expects its AI accelerator revenue to compound at a mid-to-high-50% rate from 2024 to 2029.

At GDC 2026, Google trumpeted Gemini-powered games, but the industry still hasn't found must-have uses to win over players and developers. David Lumb is a senior reporter covering mobile and gaming ...

In 2008, when the housing bubble burst and the global economy crashed, policymakers were caught flatfooted. Despite months of worry and concern about a housing bubble, signs of financial institutions ...

Crimson Desert just launched yesterday to a bit of a chaotic and mixed reception from critics. That hasn't hampered its sales, but those two million players are starting to stumble into some ...

Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search. In tests on ...