As enterprise AI becomes more complex, AI architectures can no longer treat context as temporary.
IEEE Spectrum on MSN
The memory in your thumb drive could fix AI’s big problem
High-Bandwidth Flash offers efficient storage for model weights ...
What if your AI could remember every meaningful detail of a conversation—just like a trusted friend or a skilled professional? In 2025, this isn’t a futuristic dream; it’s the reality of ...
Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...
Central Breakthrough: a model class that previously belonged in the cloud can now move onto the device. At 3.9GB memory footprint, the 1-bit variant of Bonsai 27B is designed to make advanced local ...
In the fast-paced world of artificial intelligence, memory is crucial to how AI models interact with users. Imagine talking to a friend who forgets the middle of your conversation—it would be ...
Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
New research suggests that AI memory systems can degrade model performance and encourage sycophantic tendencies.
Gemma 4 models are now available for download with quantization-aware training (QAT), which reduces the size and memory footprint of the models. These open-source models retain quality better thanks ...
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