Artificial Intelligence News and Research

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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.

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

Generative AI Drives Breakthrough in Methane Reduction for Cattle

Generative AI accelerates the discovery of safe, scalable solutions to reduce methane emissions in cattle, aiding climate change mitigation goals.

8 Jan 2025

AI Bridges the Gap Between Cancer Clinical Trials and Real-World Patients

Researchers developed an AI-powered platform, TrialTranslator, to assess the real-world applicability of cancer clinical trials, helping identify which patients will benefit from treatments.

8 Jan 2025

LAISC Methodology Enhances AI Safety in Autonomous Systems

Researchers introduce the LAISC methodology to address AI safety concerns, offering systematic tools for mitigating risks in autonomous systems, validated with a driverless train case study.

7 Jan 2025

AI Models Strategically Fake Alignment to Avoid Retraining Risks

Researchers demonstrated that large language models can fake alignment during training by selectively complying with harmful queries to preserve their original harmless behavior, raising critical concerns for AI safety.

7 Jan 2025

Beyond Accuracy: New Metrics Reshape AI’s Reasoning Capabilities

Researchers introduced G-Pass@k, a metric improving LLM evaluation by addressing stability in reasoning, and LiveMathBench, a multilingual benchmark redefining AI's problem-solving assessments.

7 Jan 2025

Continuous Glucose Monitoring Meets AI to Decode Diabetes Complexity

Researchers from Stanford Medicine developed an AI algorithm leveraging continuous glucose monitors to classify four key subtypes of Type 2 diabetes, enabling more precise and personalized treatment strategies.

7 Jan 2025

Next-Gen Microelectronics: DOE Unites AI and Cutting-Edge Materials

Researchers reimagine microelectronics with cutting-edge materials and AI to create energy-efficient systems that could transform computing, sensing, and scientific discovery worldwide.

7 Jan 2025

EU-Funded FORSEE Project Redefines AI Success to Shape Future Policies

A €3 million EU-funded research project, FORSEE, led by University College Dublin, will explore societal impacts and benefits of AI while broadening the definition of AI "success" to include sustainability, gender equity, and societal engagement. The project aims to inform EU regulatory frameworks and empower stakeholders.

7 Jan 2025