Machine Learning

AI deepfake detection technology analysing a digitally manipulated face

Breakthrough AI Deepfake Detection: Scientists Find a Better Way to Spot Fake Videos

AI deepfake detection is becoming increasingly important as artificial intelligence generates videos that are difficult to distinguish from genuine recordings. Researchers at the University of Colorado Boulder have developed a new approach that could make identifying manipulated videos significantly more efficient, potentially bringing real-time protection closer to everyday video calls. The research team developed a […]

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AI analysing sodium-ion battery materials for improved energy storage

New Materials Library Could Help AI Design Better Sodium-Ion Batteries

A new library of sodium-ion battery materials could help scientists develop batteries that store more energy, charge faster and maintain their performance for longer. Researchers at the University of Surrey have mapped 28 different compositions of sodium manganese oxide, investigating how small changes in their chemical makeup affect battery performance. The findings could provide valuable […]

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AI materials science model analysing three-dimensional crystal structures and atomic bonds

MIT Gives AI a Crystal-Clear View of Materials Science With a Powerful New Model

AI materials science is moving beyond systems that learn primarily from scientific papers and written descriptions. Researchers at the Massachusetts Institute of Technology (MIT) have developed a multimodal AI approach designed to connect the three-dimensional structures of crystalline materials with descriptions of their properties, processing requirements, and potential uses. The research could help scientists identify […]

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Smart speaker protected by diverse AI model variants against malicious audio signals

DivNet: One AI Model, Trillions of Variants to Protect Voice Assistants

Voice assistants make everyday tasks easier, from controlling smart-home devices to playing music and answering questions. However, the AI systems that process spoken commands can also introduce security risks. Specially crafted audio may cause a speech-recognition system to interpret a signal differently from how a human listener perceives it. Researchers at George Mason University are […]

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AI research assistant and food scientist analyzing food properties in a laboratory

AI Food Science: Researchers Combine AI Agents With Human Expertise to Discover New Food Physics

AI food science is changing how researchers investigate the physical and chemical properties of food. Instead of manually reviewing thousands of scientific papers, researchers can use artificial intelligence to extract experimental data, identify patterns, and organize findings into structured databases. This approach allows AI food science projects to examine relationships that might otherwise remain hidden […]

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AI agent analyzing proposed software changes and predicting potential coding errors

AI Agents Get Better by Anticipating Errors in Their Own Software Changes

AI agents are becoming more capable of writing code, fixing bugs and improving the instructions that guide their work. But every change carries a risk: a modification intended to improve performance can introduce a new error, break an existing function or waste valuable computing resources. New research suggests that AI agents can improve more efficiently […]

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ai drilling optimization drilling regimes 68 percent speed a oil derrick lattice tower on a drill floor

AI Helps Identify Drilling Regimes With a Projected Potential Increase in Drilling Speed of up to 68%

A Skoltech study combining an LSTM model, SHAP explanations and the NSGA-III algorithm projects that better weight on bit, rotary speed and flow rate settings could raise the rate of penetration by up to 68.4% in one of three carbonate wells. We explain how the AI drilling optimization works, the results well by well, why a 68% faster speed means about 40% less drilling time, the study’s limits, and what its design offers industry beyond oil.

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ai demand forecasting how it works benefits use cases a crystal ball on a round pedestal

AI Demand Forecasting: How It Works, Benefits, and Use Cases

AI demand forecasting uses machine learning to predict how many units of each product customers will buy, where and when. This guide explains the seven-step process, the model families from exponential smoothing to TimesFM and Chronos-2, what Walmart’s M5 competition proved (22.4% more accurate than the best benchmark), the benefits, accuracy metrics, a worked safety stock example, use cases by industry, platform choices, UK cost bands and a 90-day rollout plan.

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spoofed website addresses ai detection cnn lstm a warning triangle standing upright with border frame

AI Model Spots Spoofed Website Addresses With Up to 99% Accuracy

A hybrid deep-learning model published in the International Journal of Electronic Security and Digital Forensics reports 98.9% accuracy on one phishing benchmark and 96.8% on another, reading a web address purely as a string of characters. This article takes the study as published, converts its percentages into the error volumes a security team would actually feel, explains what the convolutional and long short-term memory halves each contribute, maps the spoofing techniques a string classifier can and cannot see, and flags the twenty-six months between the paper’s submission and its publication.

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