Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

A quantum-inspired AI approach can analyze millions of molecular features from small datasets, improving predictions, ...

A few years ago, Austin Wrenn noticed something unsettling in his strawberry greenhouses at Wrenn's Farm in Zebulon, North Carolina. He was one of the first growers in the state to experience losses ...

Abstract: In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named ...

A recent study has revealed that specific patterns of gene activity serve as a hidden map that guides the complex wiring of the entire brain. By using machine learning to analyze mouse brain data, ...

Researchers in Kentucky and Colorado are training drones to find cattle and assess their health from the air. For many cattle producers in Kentucky, 5pm isn’t the end of the workday – rather, it marks ...

Spread the love“`html Introduction to Technology Trends 2026 As we approach the year 2026, the landscape of technology is ...

Spread the love“`html On June 22, 2026, President Trump took a decisive step in shaping the future of technology and national security by signing two pivotal executive orders aimed at enhancing the ...

Some IVF clinics are using AI to perform tasks such as sperm and embryo selection, but some fertility experts question ...

New data from Ramp and Revelio show that intensive Gen AI adoption is linked to higher headcount and more entry-level hiring, challenging fears that “AI kills jobs” and reshaping IT leaders’ ...