Artificial intelligence and machine learning are playing increasing roles in drug discovery, potentially saving significant time and money.
Inversely designing new materials for natural gas separation
A new machine learning strategy searches for desirable materials properties rather than building blocks, which researchers hope will lead to better materials to help spark a green economy.
Bioelectronic device achieves unprecedented control of cell membrane voltage
Driven by a machine learning algorithm, the closed-loop biohybrid device maintained a set membrane voltage in human stem cells for 10 hours.
New theory hints at more efficient way to develop quantum algorithms
Researchers are developing algorithms and machine learning methods to further our understanding of the quantum state space.
Artificial astronomers
By examining a wide selection of research works from the last two years, it was very clear that astronomers are using machine learning and AI as powerful discovery tools across a range of fields.
How Accurately Can Digital Computers Model Chaos?
A new study shows fundamental limitations to the computer-based simulation of chaotic systems with implications in climate change modeling, weather forecasts, and machine learning.
New malaria test “listens” to cells to make diagnosis
A non-invasive test uses a combination of lasers and ultrasound to detect red blood cells infected with malaria parasites with acoustics.
Dung beetles inspire a new generation of robot
Robots modelled after dung beetles leverage nature’s ingenuity with efficient, space-saving object-rolling mechanics.
AI and robotics join forces to revamp how medications are made
Scientists are speeding up drug formulation to breath new life into old medications and reduce risk of clinical trial failure.
New computer solves complex problems by physically mirroring the systems it’s trying to solve
An Ising machine built on lattice defects solves problems faster than conventional computers without the drawbacks of quantum systems.