AI in Genomics Market Research and Global Forecast Report 2026-2040 - Machine Learning-Driven Drug Discovery and Strategic Tech-Pharma Collaborations Fuel Growth

AI in genomics offers transformative opportunities by enhancing drug discovery and personalized medicine through efficient genomic data analysis. Drivers include the surge in genomic data, the focus ...

Identifying potential drug candidates with deep learning virtual screening

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

Job hunting? 5 ways you can stand out in 2026 - and beat AI screening tools

Companies are using AI to filter research results, and professionals are using AI to polish their resumes. Here's how you can ...
IEEE

Determining the Colliding Vehicle in Traffic Accidents Using Hybrid Machine Learning Algorithm

Abstract: In a world rife with vehicular accidents and traffic incidents, it is known that drivers are more likely than not to shift the blame in an accident rather than admit it. Other than that, ...

Machine-learned biomarker identifies those at high risk for liver cancer

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings ...
CNBC

Gold and silver price swings are powering algo traders and machine-learning funds

Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...
IEEE

Efficient Machine Learning-Based Semantic Segmentation Algorithm for Consumer-Grade AAV Remote Sensing

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...