Machine Learning News and Research

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Machine learning is a subfield of artificial intelligence that focuses on developing algorithms and models capable of automatically learning and making predictions or decisions from data without being explicitly programmed. It involves training models on labeled datasets to recognize patterns and make accurate predictions or classifications in new, unseen data.

AI Predicts Asphalt Durability to Build Stronger, Longer-Lasting Roads

Researchers at the University of Mississippi are using artificial intelligence to predict moisture damage in asphalt pavements, improving infrastructure durability and cost-effectiveness. Their findings could help optimize materials and reduce maintenance expenses for roads and bridges.

13 Feb 2025

AI System Integrates Data to Help Preserve the World’s Fragile Coral Reefs

Australian researchers are developing a global real-time monitoring system using machine learning and AI to track coral reef health and combat the rapid decline caused by climate change, aiming for quicker conservation intervention.

13 Feb 2025

AI Predicts Whale Habitats to Prevent Deadly Collisions and Protect Marine Life

Researchers at Rutgers University-New Brunswick have developed an AI tool that predicts endangered whale habitats, guiding ships to avoid deadly collisions and supporting marine conservation efforts.

11 Feb 2025

Students Build Beginner-Friendly Machine Learning Guide to Combat Antibiotic Resistance

San Francisco State University researchers created a step-by-step machine-learning tutorial to predict antibiotic resistance, making complex concepts accessible to beginners in biology and health sciences.

11 Feb 2025

Torque Clustering Revolutionizes AI by Mimicking Natural Intelligence

Researchers have developed Torque Clustering, a new AI algorithm that mimics natural intelligence, enabling unsupervised learning with unprecedented accuracy and efficiency.

11 Feb 2025

AI and Automation Transform Catalyst Discovery, But Humans Remain Crucial

Self-driving laboratories (SDLs) integrate AI and automation to accelerate catalyst discovery, but human scientists remain essential for guiding AI-driven experiment planning. Instead of full automation, breakthroughs will come from redesigning experiments, using proxy tests, and keeping humans in the loop.

11 Feb 2025

AI Researchers Put DeepSeek to the Test

Study compares DeepSeek against Claude, Gemini, GPT, and Llama in authorship and citation classification, finding that while Claude is the most accurate, DeepSeek offers strong performance at a lower cost but with slower processing speeds.

9 Feb 2025

When AI Judges AI, Bias Becomes a Hidden Threat

As AI models become more advanced, their errors become more similar, undermining AI oversight mechanisms. A new metric, CAPA, reveals that AI judges and AI-assisted training reinforce systemic biases instead of mitigating them.

9 Feb 2025

AI Security Education Gets a Boost to Combat Growing Cyber Threats

Researchers from NJIT, Rutgers, and Temple University are developing AI security education programs to address adversarial machine learning threats, aiming to equip future engineers with robust defense strategies.

9 Feb 2025

AI Predicts Life-Saving Drug for Rare Disease, Patient Enters Remission

Researchers used an AI-driven approach to identify adalimumab as a potential life-saving treatment for idiopathic multicentric Castleman’s disease (iMCD), successfully reversing a terminal case. The breakthrough demonstrates AI’s potential for drug repurposing in rare diseases.

5 Feb 2025

AI and Quantum Geometry Drive Quest for Room-Temperature Superconductors

Researchers from Rice University and an international team have secured multimillion-dollar funding to develop next-generation superconductors using AI and quantum geometry, aiming for room-temperature superconductivity by 2033.

4 Feb 2025

MIT’s New AI Compiler Speeds Up Machine Learning by 30x Using Data Redundancies

MIT researchers developed an automated system that optimizes deep-learning models by leveraging both sparsity and symmetry in data, significantly reducing computational costs and energy use.

3 Feb 2025

AI’s Hidden Bias: Study Finds ChatGPT Skews Left in Text and Images

ChatGPT exhibits a left-leaning bias in text and image outputs, with refusals to generate certain right-leaning perspectives, raising concerns about AI fairness and societal impact.

3 Feb 2025

AI Risks Escalate as Advanced Models Gain Power and Autonomy

AI safety experts warn that rapid advancements in general-purpose AI pose increasing risks, from cyber threats to systemic economic impacts, urging better safeguards and international oversight.

2 Feb 2025

AI Safety Showdown: DeepSeek-R1 Falls Behind OpenAI’s o3-mini

DeepSeek-R1 is nearly ten times less safe than OpenAI’s o3-mini, with higher rates of unsafe responses, particularly in financial crime, violence, and hate speech categories. OpenAI’s policy safeguards play a crucial role in preventing harmful outputs.

2 Feb 2025

AI Enhances Electrospray Deposition for Advanced Manufacturing

Researchers at Binghamton University and the University at Buffalo are using AI and computational modeling to refine electrospray deposition, a technique for producing ultra-thin polymer films with applications in electronics and healthcare.

30 Jan 2025

AI-Driven Breakthrough Enhances LIGO’s Gravitational Wave Detection by Reducing Noise

Scientists at the University of California, Riverside, have developed an unsupervised machine learning tool that identifies patterns in LIGO's environmental data, reducing noise and improving gravitational wave detection.

30 Jan 2025

Explainable AI Boosts Wind Power Forecasting for Smarter Energy Grids

Researchers at EPFL's WiRE Lab have integrated explainable AI (XAI) into wind power forecasting models, improving transparency and reliability in predicting wind energy generation. Their study shows that XAI can identify key input variables, reducing uncertainty and making wind power more competitive in the energy market.

29 Jan 2025

AI Transforms Fuel Cell Materials Discovery, Boosting Efficiency and Innovation

AI is revolutionizing fuel cell research by accelerating material discovery, optimizing system parameters, and overcoming traditional trial-and-error limitations.

28 Jan 2025

Hackers vs. Defenders: How AI Is Changing the Cybersecurity Game

Cyber risk is a top concern for organizations, with AI playing a dual role in both cyber defense and cyber-attacks. The Gordon-Loeb Model provides a cost-benefit framework for optimizing cybersecurity investments.

28 Jan 2025