AI-powered training platform & private LLM assistant equip partners to capture billions in private data exchange ...
Coaches explain why indoor running can make base training more achievable in winter, plus how to structure a four-week base ...
Activist organizations are developing curricula instructing teachers and students to be skeptical toward claims of antisemitism and sympathetic to pro-Palestinian causes, documents show. Two ...
First days at a new job can certainly be intimidating. New employees are bombarded with policies, systems, faces, and expectations, all while attempting to locate the coffee machine. It’s exactly […] ...
Another essential part of your schedule: Strength training. Lifting weights twice a week is helpful because it will make your ...
Here are the top online courses and materials to help you craft an app with AI powering the actual code creation.
I'm a Fitness & Nutrition writer for CNET who enjoys reviewing the latest fitness gadgets, testing out activewear and sneakers, as well as debunking wellness/fitness myths. In my free time I enjoy ...
These days, everyone from the average Susan to the hardcore data-loving wellness enthusiast has the technology to track just about anything in the name of self-optimization. A ring wearable tells you ...
Jinko Solar was one of the leading Chinese manufacturers to endure losses in the first half of the year that triggered a rethink in Chinese government policy. Image: Jinko Solar. As 2025 comes to a ...
Deal values combined firm at $2.5 bln amid sector consolidation Transaction expected to close in second-half of next year Online education stocks lag broader markets on competition woes Udemy ...
ABS has completed a four-year effort to develop a training module to enhance safety training in the commercial fishing industry. The project delivered a web-based training platform with materials ...
FedDiffRec: A Module-wise Training Approach for Diffusion-Based Recommendation in Federated Learning
Abstract: Federated Learning (FL) has become a prominent framework for maintaining privacy in recommender systems by enabling decentralized model training. Despite its benefits, traditional Federated ...
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