When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...
Google introduces TurboQuant, a compression method that reduces memory usage and increases speed ...
Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.
Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled ...
Google senior AI product manager Shubham Saboo has turned one of the thorniest problems in agent design into an open-source engineering exercise: persistent memory. This week, he published an ...
Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.
Kioxia Corporation today announced the successful demonstration of achieving high-dimensional vector search scaling to 4.8 billion vectors on a single server with its open-source KIOXIA AiSAQ(TM) ...
The latest trends in software development from the Computer Weekly Application Developer Network. This week sees the move to general availability for vector search for Amazon MemoryDB. Amazon MemoryDB ...
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