Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Overview: The global Artificial Intelligence (AI) in drug discovery market is projected to grow at a rate of 25-30% over the ...

Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models ...

The study, titled “Teach AI What It Doesn’t Know,” published in AI Magazine, presents a detailed research agenda by Sean Du of Nanyang Technological University, focused on building reliable machine ...

Researchers address shock-driven phenomenon that degrades performance in inertial confinement fusion experiments.

Google DeepMind's AlphaEvolve uses Gemini to evolve new game theory algorithms that rival or beat human-designed methods, ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Technology is redefining how businesses compete for and nurture top talent. Organizations that embrace these digital ...

The project sits at the intersection of privacy-preserving machine learning, distributed systems, and trustworthy AI, with implications for regulatory compliance and real-world deployment of federated ...

The Transformation of Recruitment in the Age of AI Recruitment has undergone a profound transformation over the past decade.

In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to ...

Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until ...