Artificial Intelligence News and Research

RSS

Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction.

From Doctors to Engineers: AI Enhances Decision Quality Monitoring

Researchers developed MDE-HYB, an AI algorithm that evaluates expert decision quality across diverse fields, reducing error rates and improving transparency in expert performance.

13 Jan 2025

Exploring Lattice Gauge Theory with Google’s Quantum Computers

Researchers simulated particle confinement in a 𝑍2 lattice gauge theory using Google's quantum processors, showcasing quantum computers' ability to tackle fundamental physics problems. This breakthrough highlights the future potential for exploring complex quantum systems and advancing error mitigation strategies.

13 Jan 2025

AI Action Plan to Transform UK Economy and Public Services

The UK government launches a bold AI Opportunities Action Plan, aiming to drive economic growth, revolutionize public services, and position Britain as a global leader in artificial intelligence.

12 Jan 2025

Harnessing AI for Smarter, Faster Cervical Cancer Detection

AI-powered solutions revolutionize cervical cancer screening by enhancing diagnostic accuracy, automating processes, and expanding access to underserved regions, offering a new frontier in prevention and early detection.

12 Jan 2025

Generative AI Growth Threatens Environment and Social Equity

Generative AI development is driving significant environmental degradation and social inequities, urging immediate action to adopt sustainable practices and ethical governance.

12 Jan 2025

How Large Language Models Are Changing the Face of Academic Research

Researchers surveyed 226 global scholars to explore how large language models (LLMs) are used in academic research, uncovering both transformative potential and critical ethical challenges.

12 Jan 2025

UnrealZoo Brings AI Closer to Reality With Photorealistic Training Platforms

UnrealZoo offers photorealistic 3D environments to advance embodied AI training, enabling agents to excel in dynamic, real-world tasks like navigation and tracking.

12 Jan 2025

Transfer Learning Meets Physics-Based AI for Superior SLM Melt Pool Modeling

Researchers developed TLE-PINN, a transfer learning-enhanced physics-informed neural network, to predict melt pool morphology in selective laser melting (SLM), achieving faster training, higher accuracy, and reduced computational costs. This breakthrough offers a scalable solution for real-time process control in manufacturing.

10 Jan 2025

Redefining Efficiency: TabPFN Pioneers AI for Tabular Data Challenges

A machine learning breakthrough, TabPFN excels in handling small tabular datasets, significantly outperforming traditional algorithms while requiring less data and computational time.

9 Jan 2025

AI Brings Clarity to the Aurora Borealis, Enhancing Space Weather Forecasts

Researchers used AI to classify over 706 million aurora images, unlocking insights into geomagnetic storms and auroral dynamics.

9 Jan 2025

New Bayesian Framework Balances AI Accuracy and Privacy Risks

A new mathematical model based on Bayesian statistics offers unprecedented insights into the scalability of AI identification techniques, balancing technological benefits with privacy risks.

9 Jan 2025

Can You Trust a Chatbot?

Researchers from the University of Basel reveal that trust in AI chatbots is shaped by integrity and competence, with personalization enhancing user engagement but not trust.

9 Jan 2025

Multilingual AI Gets Smarter: Introducing Xmodel-1.5

Researchers at Xiaoduo AI unveiled Xmodel-1.5, a 1-billion-parameter multilingual large language model, excelling in low-resource languages like Thai and Arabic while highlighting avenues for improvement in multilingual AI.

8 Jan 2025

DeepSeek-V3 Sets New Standards in Open-Source AI Development

DeepSeek researchers unveil DeepSeek-V3, a 671B parameter open-source language model with state-of-the-art performance, achieved through innovative architectures and cost-effective training. This milestone rivals closed-source giants like GPT-4o while setting efficiency benchmarks in AI development.

8 Jan 2025

From Molecules to Mutations: Aviary Elevates AI in Research

The Aviary framework revolutionizes language agent training by grounding large language models in real-world scientific tasks, enabling expert-level performance at reduced computational costs. With applications spanning genomics, drug discovery, and protein engineering, it paves the way for more efficient scientific discoveries.

8 Jan 2025

AI Model MUSK Revolutionizes Cancer Prognosis and Treatment Guidance

Researchers at Stanford Medicine developed MUSK, an AI model that integrates visual and text-based medical data to improve cancer prognosis predictions. MUSK significantly outperforms standard methods in predicting survival, identifying immunotherapy candidates, and assessing recurrence risks in diverse cancer types.

8 Jan 2025