AI model OpenScholar synthesizes scientific research and cites sources as accurately as human experts

Keeping up with the latest research is vital for scientists, but given that millions of scientific papers are published every ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
BMJ Open

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
TechCrunch

VCs predict enterprises will spend more on AI in 2026 — through fewer vendors

Enterprises have been piloting and testing different AI tools for the past few years to figure out what their adoption strategy will look like. Investors think that period of experimentation is coming ...
Wall Street Journal

Climate Change Study Predicting Dire Economic Damage Is Retracted

A widely cited study on economic damage from climate change was retracted Wednesday following criticism from peers. The research, published last year in the prestigious journal Nature, projected that ...
CoinDesk

Jane Street Leads $105M Funding for Antithesis, a Testing Tool Used by Ethereum Network

Antithesis, a Northern Virginia startup pitching itself as infrastructure for never-down software, raised a $105 million Series A led by Jane Street, a bet that stress-testing distributed systems ...
The Verge

Google denies ‘misleading’ reports of Gmail using your emails to train AI

Viral posts claim you need to opt out of Gmail’s ‘smart features’ to avoid having your emails used to train AI, but Google says it doesn’t use the content of your emails for AI training. Viral posts ...
IEEE

Valuing Training Data via Causal Inference for In-Context Learning

Abstract: In-context learning (ICL) empowers large pre-trained language models (PLMs) to predict outcomes for unseen inputs without parameter updates. However, the efficacy of ICL heavily relies on ...
CSOonline

AI startups leak sensitive credentials on GitHub, exposing models and training data

Experts say the leaks highlight how fast-growing AI firms may be prioritizing innovation over basic DevSecOps hygiene, leaving valuable intellectual property and data at risk. Nearly two-thirds of the ...
InfoQ

Training Data Preprocessing for Text-to-Video Models

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Prevent AI-generated tech debt with Skeleton ...
STAT

Psychedelic-like therapy posts encouraging early data, as regulators clear at-home testing

Elaine Chen covers biotech, co-writes The Readout newsletter, and co-hosts STAT’s weekly biotech podcast, The Readout Loud. You can reach Elaine on Signal at elaineywchen.70. A drugmaker developing a ...
STAT

Grail says new data on multi-cancer screening test show improved performance

Jonathan Wosen is STAT’s West Coast biotech & life sciences reporter. You can reach Jonathan on Signal at jwosen.27. As part of its bid to transform the future of cancer screening and seize control of ...