How To Get Your Business Data Ready For AI Agents

Discover four practical steps for making business data ready for agentic AI while reducing risks around governance, ...

Synthetic tumor data helps AI improve long-read cancer mutation detection

A research team at The University of Hong Kong (HKU), has developed ClairS—a deep-learning algorithm that significantly ...
MIT Technology Review

Closing the data loop in AI-driven drug discovery

AI is identifying new therapeutics targets faster than ever. But this speed is exposing physical bottlenecks in the lab, and ...

OpenAI Close to Landing $500 Billion Data Center With Nvidia’s Backing

The chipmaking giant is in talks with OpenAI to provide a $250 billion financial backstop for the project, which would be ...
C&EN

Pharma learns to share as its AI demands more data

Companies aim to improve drug discovery by training AI on one another’s data and generating large, open datasets ...

Geekbench 7 will push your computer or phone even harder for better benchmarking

Geekbench is one of the mainstay synthetic benchmarks we use in reviewing laptops here at The Verge. I’ve always liked how ...
Food Engineering

Data Modeling in Processing Targets Micro-Stops to Increase Quality

AI may dominate industry conversations, but data modeling is delivering measurable results today. Discover how food, dairy ...
IEEE

Detecting Malicious and Phishing URLs Using NLP-Based Preprocessing and Machine Learning Approaches for Classification

Abstract: Phishing is a very common attack that attacks internet users daily by the use of fake websites. Cybercriminals use several methods to acquire sensitive information such as login credentials, ...
Scientific Research Publishing

Fermi Gamma-Ray Burst Classification Based on a Convolutional Autoencoder ()

Qin, B. (2026) Fermi Gamma-Ray Burst Classification Based on a Convolutional Autoencoder. International Journal of Astronomy ...
IEEE

Advanced Preprocessing Techniques for Transaction Data Analysis

Abstract: The analysis of transaction data is often impeded by challenges such as noise, inconsistencies, high dimensionality, and missing values, which obscure valuable insights. Existing ...