The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...

A newly annotated fingerprint dataset combined with open-source software could help forensic examiners work more consistently ...

ChatGPT Image 2.0 suggests that AI image generation is evolving into visual reasoning and verifiable AI, with implications ...

Roaring over long distances is a key behaviour of lions. They communicate within prides as well as with other animals using distinct sequences of moans and grunts. Scientists from the GAIA Initiative ...

Target identification is a critical and challenging step in drug discovery, with only a small fraction of human genes ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

Abstract: Image clustering is a crucial but open and challenging task in machine learning and computer vision. Deep image clustering methods have made significant advancements in largescale and ...

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...