Science

Biophysically constrained learning from healthy neural priors improves motor decoding in pathological cortical networks

High-performance brain-computer interfaces (BCIs) rely on stable neural representations, yet brain functional impairments ...

AWS just made it way easier to use SageMaker to fine-tune AI models for tool use and your firm's specific tasks

The cookbook supplies examples for chat fine-tuning, mathematics, programming and preference learning. AWS also says it provides agent skills to help coding assistants handle tasks across preparation, ...
quantumzeitgeist

Qiskit SDK v2.6 streamlines quantum circuit serialization

The latest version of the Qiskit SDK prioritizes a shift beyond Python, as Qiskit v2.6 is specifically bringing the ...
Tech Times on MSN

NVIDIA Kumo relational beats XGBoost on enterprise databases without feature engineering

Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise ...
The Hype Magazine

From Data and Models to Cloud-Based AI: 5 Programs for Aspiring Engineers

Discover the heartbeat of urban culture with The Hype Magazine! From Hip Hop to Hollywood, delve into a rich tapestry of ...
BIOENGINEER

Machine learning tracks prompt NOx in hydrogen-enriched boiler

A leakage-controlled study of 24 simulated cases found that machine learning could estimate prompt NOx in a hydrogen-enriched ...