Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

Google TurboQuant reduces memory strain while maintaining accuracy across demanding workloads Vector compression reaches new efficiency levels without additional training requirements Key-value cache ...

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...

Google’s Gemma 4 12B brings advanced multimodal AI and long-context reasoning to enterprise laptops with just 16GB of memory ...