Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

Recent directives from President Trump are mobilizing a historic, government‑wide effort to strengthen America’s AI ...

Carbon dioxide (CO2) is a primary driver of climate change in Earth's atmosphere. At the State University of New York at ...

Tapping into the power of collaboration, Johns Hopkins University and West Virginia University are launching a new partnership to bring together researchers from both institutions to address complex ...

Bhubaneswar: In a significant step towards strengthening India’s deep-tech education ecosystem, National Institute of Technology Rourkela has announced the launch of four new academic programmes from ...

Abstract: Computational wave imaging (CWI) extracts hidden structure and physical properties of a volume of material by analyzing wave signals that traverse that volume. Applications include seismic ...

Welcome! This repository contains all of the code, notebooks, images and other materials related to the Zero to Mastery Machine Learning Course on Udemy and zerotomastery.io. The following contents ...