A robust new telecom qubit in silicon
Peer-Reviewed Publication
Updates every hour. Last Updated: 3-Apr-2026 01:15 ET (3-Apr-2026 05:15 GMT/UTC)
An enormous team of researchers from around the globe has designed an exam to show what AI can’t do, yet.
By using advanced machine learning, Carnegie Mellon researchers have created compact, yet highly accurate models to better understand the visual system, offering potential breakthroughs for neuroscience and artificial intelligence.
New Study shows: What crop advisors really want from AI tech and how precision ag producers will decide on AI adoption.
Research Highlights:
Discrete choice experiments quantify trade-offs in crop advisors’ preferred AI-DSS features.
Advisors favor simplicity and satellite inputs over ultra-accurate or precision-heavy AI-DSS.
AI attitudes moderate acceptance: techno-optimists are more open to data-intensive AI-DSS.
Implications: built trust, ensure cost transparency, and align AI-DSS with user autonomy to boost adoption.
Dennis Lal, an internationally recognized genomic scientist and health informatics leader, has been appointed as a professor with The University of Texas at Arlington and the new executive director of the Center for Innovation in Health Informatics (CIHI), where he will lead health care-scale informatics, precision health, and clinical AI initiatives.