Model quantization is an effective method that can improve communication efficiency in federated learning (FL). The existing FL quantization protocols almost stay at the level of post-training ...

Scaling reinforcement learning (RL) has shown strong promise for enhancing the reasoning abilities of large language models (LLMs), particularly in tasks requiring long chain-of-thought generation.

In today’s digital landscape, cybersecurity threats are constantly evolving. As organizations continue to adopt new technologies and expand their digital footprint, they face an increasing number of ...

The landscape of Text-to-Speech (TTS) is moving away from modular pipelines toward integrated Large Audio Models (LAMs). Fish Audio’s release of S2-Pro, the flagship model within the Fish Speech ...

Diffusion models have shown superior performance in real-world video super-resolution (VSR). However, the slow processing speeds and heavy resource consumption of diffusion models hinder their ...

Prevention Works with funding from United Way of Chautauqua County, is proud to offer Team Awareness, a dynamic professional development training designed to help organizations build healthier, more ...

Edge AI reached an inflection point in 2025. What had long been demonstrated in controlled pilots—local inference, reduced latency, and improved system autonomy—began to transition into scalable, ...

The model is pre-trained on 25T tokens using a Warmup Stable Decay learning rate schedule with a batch size of 3072, a peak learning rate of 1e-3 and a minimum learning rate of 1e-5. The NVFP4 ...

Despite increasing investment, security awareness training continues to deliver marginal benefits. With a focus on actions over knowledge, AI-based HRM can personalize training to improve employee ...

Experts At The Table: AI/ML is driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor ...