When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.
2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Segun Fatumo discusses how he is working towards a true global genomics framework and strengthening African research capacity ...
Massive compute capabilities enable a whole new way of manipulating and using data, and a potential bonanza for AI data centers.
Anthropic reveals Claude AI generated blackmail and violent scenarios during shutdown simulations. What it means for AI safety and global risks.
Nvidia CEO Jensen Huang predicts English, not C++, Python, or any traditional coding language, will become the most powerful programming language due to AI advancements.
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
We are glad that Isomorphic is helping advance the field and are able to match the level of performance we demonstrated at the ARDD conference in Copenhagen last August. In August, Deep Origin ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data Preprocessing can quietly change the meaning of your data, which is why the Data Fusion Labeler is built to harmonize ...
Azul, the only company 100% focused on Java, today announced the results of its 2026 State of Java Survey & Report. The annual study, based on responses from more than 2,000 Java professionals ...