Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...

Every year, the NCAA Selection Committee faces the monumental task of seeding the NCAA Tournament, a decision heavily ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

Training is the backbone of an organization’s growth, and it should be conducted effectively and smoothly. Creating effective and easy-to-implement methods is a challenge that many teams face.

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see ...

Abstract: Task-oriented semantic communication (ToSC) enhances efficiency and performance by leveraging task-specific data representations and end-to-end learning, which are more compact and effective ...

WASHINGTON — A new report from the National Academies of Sciences, Engineering, and Medicine examines how the U.S. Department of Energy could use foundation models for scientific research, and finds ...

Abstract: In multi-task mobile edge computing (MEC) environments, optimizing task offloading and resource allocation is particularly challenging due to the coexistence of discrete and continuous ...