National Academies

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
JD Supra

FDA Publishes Machine Learning Transparency Guiding Principles for Medical Devices

The Transparency Principles emphasize the effective communication of relevant information about a MLMD to users, such as the intended use(s), device development, device performance, and method for ...
Neowin

Machine Learning Security Principles eBook (worth $37.99) - free download

Claim your complimentary eBook (worth $37.99) for free, before the offer expires on May 17. Businesses are leveraging the power of AI to make undertakings that used to be complicated and pricy much ...
JD Supra

Medical Devices updates: Annual performance report, new guiding principles for PCCPs for machine learning-enabled medical devices, and regulatory enrolment processes

In September 2023, Health Canada published the Medical Devices Directorate Performance Annual Report for April 1, 2022, through March 31, 2023. The report provides detailed metrics about the ...
Business Wire

Verta Adds Free-tier Model Catalog to Help Companies Manage Their Machine Learning Models in Compliance with AI Regulations and Responsible AI Principles

MENLO PARK, Calif.--(BUSINESS WIRE)--Verta, the Operational AI company, today announced that data scientists can now use, at no cost, Verta Model Catalog to easily, safely, and securely manage all ...
InfoWorld

5 risks of AI and machine learning that modelops remediates

Modelops improves machine learning model development, testing, deployment, and monitoring. Follow these tips to keep model risks in check and increase the efficiency and usefulness of your ML ...
News Medical on MSN

Machine learning advances drug discovery through generalizable models

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
Nature

Physics-informed machine learning and its real-world applications

Advances in machine learning (ML) and deep learning (DL) are undoubtedly enabling significant breakthroughs in all areas of science and technology. ML/DL models, however, do not necessarily obey the ...
Forbes

Machine Learning From A Digital Marketer's Perspective

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As an enthusiastic digital marketer who is passionate about search engine optimization (SEO) ...
BioTechniques

A targeted approach to using AI in drug discovery

A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.
business.rutgers

Data Analytics and Machine Learning Concentration

As rapidly growing amounts of data are created and used in industry and research environments, there is an increasing demand for people who are able to pursue data-driven thinking and decision-making ...