#research-innovation

#research-innovation

AI in drug development shows promise but requires cautious optimism and realistic expectations.

Despite excitement, AI has not yet significantly improved drug success rates in clinical trials.

Researchers are developing a large language model to communicate with dolphins, aiming for two-way interaction.

A machine learning tool developed by FSU chemists achieves 99% accuracy in identifying chemical compositions from images of dried salt solutions.

Straightforward solutions to antimicrobial resistance could avert millions of deaths.

Mathematicians have discovered a new class of shapes called soft cells, which are prevalent in nature.

Revisiting Wuhan's animal market offers clues about the initial spread of COVID-19.

The integration of AI and materials science through the Functional Materials Knowledge Graph presents groundbreaking opportunities while addressing significant challenges.

DeSci and AI convergence, named DeScAI, promises to enhance research collaborations and funding transparency.

AI generated more original research ideas than 50 scientists, although its concepts were slightly less feasible according to reviewers.

January 14, 2025, highlights significant advancements in tech, including user search trends and gamified research methods.

Scientists have successfully created freestanding single-atom-thick sheets of gold, opening up possibilities for new material properties similar to graphene.

Aurora and APS represent groundbreaking technology that will significantly enhance research capabilities across various scientific disciplines.

Collaboration across multiple institutions enhances research quality in materials science.

Integration of diverse academic backgrounds is crucial for innovation in technological applications.