Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
LongCat 2.0 is Meituan's 1.6T-parameter MoE model with a native 1M-token context, trained entirely on domestic AI ASIC ...
Working memory is the information we need to access to complete the tasks we’re engaged in right now, and scientists think it ...
Nvidia introduces Diffusion Nemotron, a 60-billion parameter two-tower AI model that uses parallel block processing to speed up text generation.
Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...
Anthropic’s new Claude research reveals a hidden internal “global workspace” that resembles human conscious processing, ...
The ‘doorway effect’ suggests that when information is removed from working memory, it immediately seems to leave ...
ASRock’s Edge AIoT family pairs Intel Bartlett Lake processors with rugged industrial platforms for real-time AI inference, ...
Throwing money at massive GPUs won't fix your AI budget; you need to optimize your software and rethink your cloud strategy ...
LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...
Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...
Chinese researchers have developed a specialised computer chip designed for brain science research that can process complex brain models significantly faster than Nvidia's A100 GPU in specific ...