Algorithms can’t read your inner signals. Trusting your gut means knowing when your feelings are the crucial missing data ...

Data has no intrinsic value. It should be shaped, structured and interpreted before it becomes actionable. The journey from ...

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...

Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.

New Accellera working group is developing a way to run hierarchical data models on any vendor's tools without exposing third-party IP.

J. Marc Overhage, M.D., Ph.D., who led the development of the HDU Capability Model, will become CEO of the Consortium for ...

Abstract: With the continuous rolling-out of wireless edge cloud networks, Federated Learning (FL) has emerged as a promising solution for decentralized model training without exposing raw data.

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

Sometimes, the SubstitutionModel hierarchy does not quite fit its usage, and consequently, some features have to be switched off to make it run well. Examples: SubstitutionModel.Base has Frequencies ...

Abstract: Recently, Federated Learning (FL) has gained widespread attention for its ability to support multiple clients in collaborative learning while preserving data privacy. However, existing ...