The fact that the human body is made up of cells is a basic, well-understood concept. Yet amazingly, scientists are still trying to determine the various types of cells that make up our organs and contribute to our health.
Biotechnology
Apr 19, 2021
0
155
A large team of researchers working with Google Inc. and affiliated with a host of institutions in the U.S., one in Germany and one in the Netherlands has implemented a quantum approximate optimization algorithm (QAOA) on ...
A team of researchers at Quantinuum, working with a colleague at the University of Texas, Austin, has developed a way to simulate infinitely many chaotic particles using a quantum computer running with a limited number of ...
An international research team led by scientists from Osaka Metropolitan University has developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques.
Mathematics
Sep 13, 2022
0
8
A research team from the Department of Physics, the University of Hong Kong (HKU) has developed a new algorithm to measure entanglement entropy, advancing the exploration of more comprehensive laws in quantum mechanics, a ...
Quantum Physics
Feb 14, 2022
0
585
A team of researchers from Nottingham Trent University, l'Institut National de Recherche en Agriculture and Centre Apicole de Recherche et d'Information reports accurately predicting honeybee swarming by listening to sounds ...
Researchers at California Polytechnic State University have developed a low-cost approach that improves cell-free biotechnology's utility for bio-manufacturing and portability for field applications.
Biotechnology
Feb 25, 2020
0
163
Machine learning—a form of artificial intelligence based on the idea that computers can learn from data and make determinations with little help from humans—has the potential to improve our lives in countless ways. From ...
Computer Sciences
Jul 16, 2018
0
55
A small team of researchers with members from institutions in Italy, France and the U.S. has found that most forests around the world are becoming less resilient to environmental changes due to global warming. In their paper ...
A team of material scientists at Haverford College has shown how human bias in data can impact the results of machine-learning algorithms used to predict new reagents for use in making desired products. In their paper published ...
