This is crucial, especially for data mesh, where everyone becomes a data user, and metadata, where everyone should access data knowledge. Without an anthropological and psychological perspective on ...

Nebius benefits from strong AI infrastructure demand, major hyperscaler contracts, sold-out data centers and ARR growth.

Abstract: Federated learning (FL) has emerged as an appealing machine learning approach to deal with massive raw data generated at multiple mobile devices, which needs to aggregate the training ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

Abstract: Computing in the Network (COIN) has the potential to reduce the data traffic and thus the end-to-end latencies for data-rich services. Existing COIN studies have neglected the impact of the ...

Traditional RL uses single scalar rewards. RLAF uses multi-perspective critic ensembles: rlaf/ ├── agents/ # Actor and Critic agents │ ├── actor.py # Agent being trained │ └── critic.py # Evaluation ...

How much support do federal and provincial arts funding bodies provide to Canadian creators in the “elbows up” era as compared to a decade ago, or even a half-century ago? The Globe and Mail contacted ...