Machine-learning algorithm that can register brain scans and other 3-D images more than 1,000 times more quickly using novel learning techniques.READ MORE
The “brain password” could have implications in banking, law enforcement, airport security and other areas.READ MORE
The Friedrich Schiller University Jena Partners with ACD/Labs to Advance its Analytical Data Management StrategyNews Jun 14, 2018
Implementation of ACD/Spectrus as an analytical data management system helps researchers and students streamline NMR and MS data processing, interpretation, collaboration, and training.READ MORE
New partners are joining Pasquale Fedele, the inventor of BrainControl, who gained a total of 2.5 million Euro in a round of funding led by the Italian based investment firm RedSeed Ventures.READ MORE
For the first time, scientists have visualized the interaction between two critical components of the body's vast cellular communication network, a discovery that could lead to more effective medications with fewer side effects for conditions ranging from migraine to cancer.READ MORE
Siemens becomes a preferred supplier for automation solutions. Product portfolio of Sartorius Stedim Biotech to feature a globally standardized automation platform in the future.READ MORE
Computer scientists from Rice University’s DARPA-funded Pliny Project believe they have the answer for every stressed-out systems programmer who has struggled to implement complex objects and workflows on ‘big data’ platforms like Spark and thought: “Isn’t there a better way?”READ MORE
A new technique developed by MIT physicists could someday provide a way to custom-design multilayered nanoparticles with desired properties, potentially for use in displays, cloaking systems, or biomedical devices. It may also help physicists tackle a variety of thorny research problems, in ways that could in some cases be orders of magnitude faster than existing methods.
Real-world problems in economics and public health can be notoriously hard nuts to find causes for. Often, multiple causes are suspected but large datasets with time-sequenced data are not available. Previous models could not reliably analyse these challenges. Now researchers have tested the first Artificial Intelligence model that can tackle these problems.
International Conference on Central Nervous System and Therapeutics
Nov 12 - Nov 14, 2018