A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

"We’ve long had automation in our company’s vision and road map for the future," Buikema said. "As we focus on the small and ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Rebecca Qian is the Co-Founder and CTO of Patronus AI, with nearly a decade of experience building production machine ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

That’s not to say that the technology doesn’t have a function or won’t improve, but it does place a much lower ceiling on ...

The Google PhD Fellowship programme supports outstanding graduate students pursuing innovative research in fields relevant to ...

Partnerships with SkillsFuture Singapore and Equinix anchor research on AI’s impact on jobs, skills and lifelong learning ...

Humans& Inc., a three-month-old artificial intelligence startup, today announced that it has closed a $480 million seed round ...

Through his Google fellowship, Stoica seeks to apply model merging to create a cutting-edge vision encoder. A vision encoder ...

What is chain-hopping? Know why moving funds across incompatible L1 blockchains creates blind spots for AML tools and ...