As the capacity of artificial intelligence (AI) increases at an exponential rate, so do concerns about the privacy of user data.As the capacity of artificial intelligence (AI) increases at an exponential rate, so do concerns about the privacy of user data.Security[#item_full_content]
HarmonyGNN boosts graph AI accuracy on four tough benchmarks by up to 9.6%
Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather forecasting. GNNs are AI systems designed to perform tasks where the input data is presented in the form of graphs. Graphs, in this context, refer largely to data structures where data points (called nodes) are connected by lines (called edges). The edges indicate some sort of relationship between the nodes. Edges can be used to connect nodes that are similar (called homophily)—but can also connect nodes that are dissimilar (called heterophily).Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather forecasting. GNNs are AI systems designed to perform tasks where the input data is presented in the form of graphs. Graphs, in this context, refer largely to data structures where data points (called nodes) are connected by lines (called edges). The edges indicate some sort of relationship between the nodes. Edges can be used to connect nodes that are similar (called homophily)—but can also connect nodes that are dissimilar (called heterophily).Computer Sciences[#item_full_content]
HarmonyGNN boosts graph AI accuracy on four tough benchmarks by up to 9.6%on April 13, 2026 at 5:20 pm
Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather forecasting. GNNs are AI systems designed to perform tasks where the input data is presented in the form of graphs. Graphs, in this context, refer largely to data structures where data points (called nodes) are connected by lines (called edges). The edges indicate some sort of relationship between the nodes. Edges can be used to connect nodes that are similar (called homophily)—but can also connect nodes that are dissimilar (called heterophily).Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather forecasting. GNNs are AI systems designed to perform tasks where the input data is presented in the form of graphs. Graphs, in this context, refer largely to data structures where data points (called nodes) are connected by lines (called edges). The edges indicate some sort of relationship between the nodes. Edges can be used to connect nodes that are similar (called homophily)—but can also connect nodes that are dissimilar (called heterophily).[#item_full_content]
Revealing the hidden logic behind AI’s judgments of people
In a world where artificial intelligence is quietly shaping who gets hired, who receives loans, and even how medical decisions are made, a new question is emerging: How does AI judge us? A new study by Prof. Yaniv Dover and Valeria Lerman from Hebrew University suggests the answer is both reassuring and deeply unsettling. The study is published in the journal Proceedings of the Royal Society A Mathematical Physical and Engineering Science.In a world where artificial intelligence is quietly shaping who gets hired, who receives loans, and even how medical decisions are made, a new question is emerging: How does AI judge us? A new study by Prof. Yaniv Dover and Valeria Lerman from Hebrew University suggests the answer is both reassuring and deeply unsettling. The study is published in the journal Proceedings of the Royal Society A Mathematical Physical and Engineering Science.Computer Sciences[#item_full_content]
Revealing the hidden logic behind AI’s judgments of peopleon April 13, 2026 at 5:00 pm
In a world where artificial intelligence is quietly shaping who gets hired, who receives loans, and even how medical decisions are made, a new question is emerging: How does AI judge us? A new study by Prof. Yaniv Dover and Valeria Lerman from Hebrew University suggests the answer is both reassuring and deeply unsettling. The study is published in the journal Proceedings of the Royal Society A Mathematical Physical and Engineering Science.In a world where artificial intelligence is quietly shaping who gets hired, who receives loans, and even how medical decisions are made, a new question is emerging: How does AI judge us? A new study by Prof. Yaniv Dover and Valeria Lerman from Hebrew University suggests the answer is both reassuring and deeply unsettling. The study is published in the journal Proceedings of the Royal Society A Mathematical Physical and Engineering Science.[#item_full_content]
A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step forward in bringing real-time simulation capabilities to composite manufacturing processes. By addressing key limitations of current deep learning surrogate models for simulating fluid flow in composite manufacturing processes, these results highlight the potential of data-driven approaches to enhance efficiency, adaptability, and resilience in advanced manufacturing processes.A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step forward in bringing real-time simulation capabilities to composite manufacturing processes. By addressing key limitations of current deep learning surrogate models for simulating fluid flow in composite manufacturing processes, these results highlight the potential of data-driven approaches to enhance efficiency, adaptability, and resilience in advanced manufacturing processes.Engineering[#item_full_content]
Many people are interacting with AI large language models, and most of them would say the models have different “personalities.” Some models come across as calm and useful. Others feel eager, flattering or strangely cold. You can ask two models the same question and walk away with two very different impressions, even when the factual content they return is similar.Many people are interacting with AI large language models, and most of them would say the models have different “personalities.” Some models come across as calm and useful. Others feel eager, flattering or strangely cold. You can ask two models the same question and walk away with two very different impressions, even when the factual content they return is similar.Consumer & Gadgets[#item_full_content]
Teens are becoming concerned about their attachment to AI chatbots
It’s estimated that more than half of all U.S. teens are regularly using companion chatbots powered by large language models and generative artificial intelligence (AI) technology. The programs, such as Character.AI, Replika and Kindroid, are intended to provide companionship, according to the companies that make them. But a recent study from Drexel University published in the Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, suggests that teens are concerned that these attachments are becoming unhealthy and affecting their lives offline.It’s estimated that more than half of all U.S. teens are regularly using companion chatbots powered by large language models and generative artificial intelligence (AI) technology. The programs, such as Character.AI, Replika and Kindroid, are intended to provide companionship, according to the companies that make them. But a recent study from Drexel University published in the Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, suggests that teens are concerned that these attachments are becoming unhealthy and affecting their lives offline.Consumer & Gadgets[#item_full_content]
Mechanical computers use springs and bolts to count, sort odd-even pushes and remember forceon April 13, 2026 at 1:40 pm
Published in Nature Communications, researchers from St. Olaf College and Syracuse University built a computer made entirely of mechanical components that can perform simple computations without electricity or batteries.Published in Nature Communications, researchers from St. Olaf College and Syracuse University built a computer made entirely of mechanical components that can perform simple computations without electricity or batteries.[#item_full_content]
AI model simulates smartphone muscle effort, revealing which swipes are most tiring
Prolonged scrolling is bad for your well-being, but is it also physically tiring? Until now, we haven’t really been able to say. This is why researchers from Aalto and Leipzig Universities created a new AI model that makes it possible to simulate muscle activations and required energy to work out how physically effortful smartphone interactions are for users.Prolonged scrolling is bad for your well-being, but is it also physically tiring? Until now, we haven’t really been able to say. This is why researchers from Aalto and Leipzig Universities created a new AI model that makes it possible to simulate muscle activations and required energy to work out how physically effortful smartphone interactions are for users.Consumer & Gadgets[#item_full_content]
