UC Santa Barbara researcher Satish Kumar and his team have developed an AI-powered tool called Methane Mapper that uses hyperspectral imaging to detect and trace real-time methane emissions. Methane Mapper, which achieves 91 percent accuracy and collects in-depth data from diverse terrain types, will eventually use satellites to monitor larger areas.

Superconducting diode, a key component in electronic devices has been recently developed by a team of researchers. The component has the potential to boost the performance of quantum computers as well as artificial intelligence systems.

An international team of scientists have conducted a path-breaking research study in which artificial intelligence (AI) has been used to identify a molecular machine, which plays an essential ‘cargo’ role in controlling the delivery of proteins to the surface of human cells, and is implicated in several diseases.

Development of neural networks or AI tools for data analysis is increasing exponentially. However, networks existing in natural ecosystems, such as webs of interspecies relationships, have information processing potential that has largely remained untapped.

A recent study has found that just eight percent of all depictions of AI professionals from a century of film are women — and half of these are shown as subordinate to men. Thus, cinema promotes AI as the product of lone male geniuses with god complexes, say researchers.

The enormous amount of data obtained by filming biological processes using a microscope has previously been an obstacle for analyses. Using artificial intelligence (AI), researchers at the University of Gothenburg can now follow cell movement across time and space. The method could be very helpful for developing more effective cancer medications.

Researchers at The University of Texas at Austin have developed a semantic decoder, a new artificial intelligence system which can reveal stories in a person’s mind. The solution may prove beneficial for people who are mentally conscious yet unable to speak physically.

Researchers at Hokkaido University used a chemical synthesis robot and computationally cost effective Artificial Intelligence model to successfully predict and validate highly selective catalysts.

Google Cloud’s Tensor Processing Units will be used by Bayer to speed up its in-silico research and development. The move will help the company to accelerate and scale its quantum chemistry calculations.

Lab results are often complex and not easy to interpret. For many diseases, a medical diagnosis requires the analysis and combination of different values. That’s why one of the themes at the Medica Labmed Forum at Medica 2021 highlighted “Integrative and AI-driven diagnostics” - and illustrated how AI can help interpret laboratory results and values. In his forum presentation, Florian Stumpe showcased the medicalvalues AI-based software platform, which is designed to support decision-making for physicians. In this Medica-tradefair.com interview, he talks about the possible applications of AI in laboratory diagnostics.