Self-Driving Microscopes Discover Shortcuts to New Materials
Intuitive algorithm could guide breakthroughs in new materials for energy technologies, sensing, and computing
Artificial Intelligence
Using AI to Analyze Large Amounts of Biological Data
Researchers develop method that could be used by scientists when developing new drug therapies
Innovations in AI for Drug Discovery
AI and other computational abilities play a major role to advance pharmaceutical research
Scientists Use Machine Learning to Identify Antibiotic-Resistant Bacteria
Areas of intensive livestock farming are seen as ideal breeding grounds for antimicrobial-resistant bacteria
Better, Faster, Energy Efficient Predictions
Research combines artificial intelligence and computational science for accurate and efficient simulations
Innovations in Microscopy
Recent advancements reduce or eliminate damage to sensitive samples, simplify setup, and greatly enhance speed and image quality
Computer Predictive Model Useful in Identifying Ancient Hunter-Gatherer Sites
LAMAP uses information from the landscape data to estimate the archaeological potential of land
The Nature of the Experiment Largely Determines Its Result
Neuroscientists re-examine hundreds of contradictory experiments on consciousness
Entanglement Unlocks Scaling for Quantum Machine Learning
New No-Free-Lunch theorem for quantum neural networks gives hope for quantum speedup
The Power of the Integrated Lab
Lab connectivity powers data-driven discovery