A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.

Large language models power everyday tools and reshape modern digital work.Beginner and advanced books together create a ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

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

Chris Phillips, VP and GM of Education at Google, says AI can help students deepen their understanding of concepts, enhance critical thinking, and foster creativity, while freeing up teachers to focus ...

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

Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. We introduce BioEmu, a deep learning system that ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Abstract: The increasing complexity of optical communication systems and networks necessitates advanced methodologies for extracting valuable insights from vast and heterogeneous datasets. Machine ...

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. agent/: Agent library (dr-agent-lib) with MCP-based tool ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...