Meet the women using AI to detect hidden heart disease

Sonorus isn't the only organisation working to detect heart disease via AI sound analysis. Studies on AI-enabled stethoscopes ...
Semiconductor Engineering

Rethinking Robotics Reinforcement Learning: A Practical Humanoid Training Workflow

A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.

ADI-R for autism diagnosis: What clinicians should know

The Autism Diagnostic Interview-Revised (ADI-R) is one of the most widely used and thoroughly researched caregiver interview ...
WyoFile

Wyoming lawmakers expand legislative ethics training after ‘Checkgate’ controversy

Expanded House and Senate rules may be on the table, and some lawmakers would like to see new laws addressing campaign ...

Report: Meta developing open-source versions of upcoming AI models

Anthropic and OpenAI Group PBC are both preparing to release new flagship LLMs. According to Axios, Meta doesn’t expect its ...
The Manila Times

Regeneron Collaborates with TriNetX to Access De-Identified Electronic Health Records of 300 Million Patients to Drive Research and Product Development in Life Sciences and ...

Regeneron has exclusive opportunity to connect large-scale genomic and proteomic data cohorts to TriNetX’s industry-leading global network of electronic health record data ...

As AI Reshapes the Workforce, BUiLT RITE Opens Applications for Leadership Cohort to Strengthen Skills It Can’t Replace

Instead, they deepen the capabilities that no algorithm can replicate.” — Peter Beasley, founder & Chairman of BUiLT ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
JD Supra

ITAR & AI-Enabled Defense Technologies: Autonomous Systems, Targeting Algorithms, and the New Export-Control Frontier

Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ISR platforms, battlefield decision-support engines, predictive logistics tools, ...
IEEE

Advanced Training Algorithms in Sigma-Delta Spiking YOLO for Energy-Efficient Object Detection on Neuromorphic Hardware

Abstract: This paper explores methods for improving the training and inference performance of a Sigma-Delta spiking object detector by applying a series of training techniques and optimization ...
Semiconductor Engineering

Balancing Training, Quantization, And Hardware Integration In NPUs

Experts At The Table: AI/ML is driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor ...