A study on Indo-European languages, using direct linguistic data, reconciles the two dominant hypotheses of where and how ...

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.

Scientists reveal that the scale of analysis determines whether invasive plants succeed by resembling or differing from ...

As part of the PDAOAI initiative, Oncotelic has curated a comprehensive TGF-β literature corpus comprising more than 125,000 PubMed abstracts, representing the near-totality of scientific knowledge ...

The transition from simple chemistry to the complex biology of molecules that gave rise to life is a puzzle that scientists ...

Recent studies showing wide cultural and individual differences in biophilia call into question the claim that humans are ...

Abstract: The problem of cross-modal retrieval from multimedia repositories is considered. This problem addresses the design of retrieval systems that support queries across content modalities, for ...

One way to change your relationship with goals is to think of yourself as a scientist doing experiments. A scientist's ...

In this work, we develop new self-learning techniques with an attention-based sequence-to-sequence (seq2seq) model for automatic speech recognition (ASR). For untranscribed speech data, the hypothesis ...

The final, formatted version of the article will be published soon. Compartmental models are essential for studying host-pathogen dynamics, evaluating intervention 9 effectiveness, and predicting ...

3D human shape reconstruction under severe occlusion due to human-object or human-human interaction is a challenging problem. Parametric models i.e. SMPL(- X), which are based on the statistics across ...