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By combining AI-driven reverse engineering with eco-friendly solvents, scientists are redefining the future of perovskit...
23/09/2025

By combining AI-driven reverse engineering with eco-friendly solvents, scientists are redefining the future of perovskite solar cells, delivering affordable, low-carbon energy for global deployment.

Korean researchers have unveiled an AI-powered roadmap for sustainable perovskite solar cells that halves production costs and cuts climate impact by over 80%. Their bio-based process replaces toxic solvents, making solar power safer, cheaper, and greener.

As AI agents increasingly handle sensitive data, cybersecurity needs a complete redesign. Multifactor is stepping up wit...
23/09/2025

As AI agents increasingly handle sensitive data, cybersecurity needs a complete redesign. Multifactor is stepping up with open-source solutions to stop hackers from exploiting AI’s weakest links.

Researchers highlight how AI adoption introduces new security vulnerabilities, with Hertz Fellow Vivek Nair’s startup Multifactor developing cryptographic solutions to safeguard both businesses and consumers. Backed by the Hertz Foundation and Y Combinator, the company aims to establish “agentic...

A breakthrough AI framework that isolates diseased leaf regions is setting new standards for plant disease assessment, h...
23/09/2025

A breakthrough AI framework that isolates diseased leaf regions is setting new standards for plant disease assessment, helping farmers cut costs, reduce pesticide use, and protect global food security. https://www.azoai.com/news/20250922/New-AI-Framework-LLRL-Accurately-Detects-Plant-Disease-Severity-for-Smarter-Farming.aspx

Researchers at Guizhou University have developed LLRL, a deep learning framework that targets lesion regions directly, boosting the accuracy of plant disease severity assessment across apple, potato, and tomato leaves. The model achieved up to 92.4% accuracy, outperforming 12 benchmark approaches.

A new study shows how pairing effective retrieval methods with fine-tuned AI models can transform the way professionals ...
23/09/2025

A new study shows how pairing effective retrieval methods with fine-tuned AI models can transform the way professionals query building codes, replacing tedious manual searches with smarter, more accurate compliance tools.

A new study shows how pairing effective retrieval methods with fine-tuned AI models can transform the way professionals query building codes, replacing tedious manual searches with smarter, more accurate compliance tools.

Breaking from logic-bound predecessors, LLMs are reshaping the foundations of AI with human-like cognition, deep reasoni...
22/09/2025

Breaking from logic-bound predecessors, LLMs are reshaping the foundations of AI with human-like cognition, deep reasoning, and adaptive intelligence that could transform decision-making in complex real-world environments.

This study by Zhidong Cao, Xiangyu Zhang, and Daniel Dajun Zeng systematically examines the technical, cognitive, and reasoning attributes of Large language models (LLMs). It positions LLMs as a novel form of general intelligence that learns empirically from data, contrasting with traditional logic-...

By turning complex legal debates into searchable transcripts, this courtroom AI could revolutionize how lawyers, scholar...
22/09/2025

By turning complex legal debates into searchable transcripts, this courtroom AI could revolutionize how lawyers, scholars, and the public navigate justice.

Researchers at the University of Surrey created a Artificial intelligence system that transcribes UK Supreme Court hearings with greater accuracy and links spoken arguments directly to written judgments. This custom courtroom AI cuts transcription errors, boosts efficiency, and makes legal proceedin...

Acting less like a database and more like a student, ChatGPT puzzled through Plato’s 2,400-year-old challenge with unexp...
22/09/2025

Acting less like a database and more like a student, ChatGPT puzzled through Plato’s 2,400-year-old challenge with unexpected creativity, raising new questions about how AI can support mathematical learning.

In a study published in the International Journal of Mathematical Education in Science and Technology, researchers found that ChatGPT tackled Plato’s ancient “doubling the square” puzzle not by recalling the well-known solution but by improvising new approaches, sometimes making human-like err...

From fake W-2s to AI-powered impersonation calls, scammers are turning everyday taxpayers into unwitting fraudsters, for...
22/09/2025

From fake W-2s to AI-powered impersonation calls, scammers are turning everyday taxpayers into unwitting fraudsters, forcing the IRS to fight back with an Avengers-style task force.

Social media platforms, especially TikTok, are fueling a new wave of tax scams in 2025, from fake credits to AI-powered voice cloning. The IRS has launched CASST, a special task force, to combat these sophisticated and dangerous fraud schemes.

A new UW study finds Community Notes on X significantly curb engagement with misinformation, yet their effectiveness dep...
22/09/2025

A new UW study finds Community Notes on X significantly curb engagement with misinformation, yet their effectiveness depends on speed, scale, and whether other platforms adopt similar transparency measures.

A University of Washington-led study shows that Community Notes on X reduce virality by cutting reposts by 46% and likes by 44%. The findings suggest the feature slows misinformation spread, but speed and cross-platform collaboration remain critical challenges.

A breakthrough AI model trained on unlabeled seismic data promises to revolutionize earthquake monitoring, turning every...
22/09/2025

A breakthrough AI model trained on unlabeled seismic data promises to revolutionize earthquake monitoring, turning everyday fiber-optic cables into a dense, global seismic intelligence network.

Scientists have unveiled DASFormer, a self-supervised AI model that transforms fiber-optic cables into powerful earthquake monitoring tools. By learning from unlabeled seismic data, it detects earthquakes as anomalies, outperforming 22 state-of-the-art models in real-world tests.

A new study unveils how training neural networks directly with light on photonic chips could slash energy use and speed ...
12/09/2025

A new study unveils how training neural networks directly with light on photonic chips could slash energy use and speed up AI, paving the way for smarter on-device systems.

Researchers from Politecnico di Milano and international partners developed an in-situ training method for physical neural networks using light-based photonic chips, eliminating the need for digital models. This breakthrough enables faster, more energy-efficient AI computation directly on miniature....

A breakthrough light-based chip could revolutionize AI by cutting energy demands while preserving high performance, pavi...
12/09/2025

A breakthrough light-based chip could revolutionize AI by cutting energy demands while preserving high performance, paving the way for faster and greener computing systems.

Researchers at University of Florida have created a silicon chip that uses laser light and microscopic Fresnel lenses to perform convolution operations, a power-intensive step in AI. This optical approach greatly reduces energy use while maintaining near 98% accuracy in machine learning tasks.

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