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Why AI Adoption Hinges on Employee Feelings, Not Just Features

Successful AI adoption isn't just about technology; it's about managing employees' emotions and trust. Research from Aalto University shows that without addressing emotional responses, companies struggle to capitalize on AI's potential, with four in five failing to achieve expected benefits.

23 Jan 2025

Embodied AI Model Learns Like a Toddler, Revealing Secrets of Cognitive Development

Researchers at OIST have developed an embodied intelligence model that mimics how children learn to generalize by combining sensory inputs and language, offering insights into cognitive development and AI transparency.

22 Jan 2025

AI Traces Agricultural Chemicals’ Deadly Path Through UK Freshwater Networks

Researchers used AI-powered analysis of 52 UK lakes to identify insecticides, fungicides, and heavy metals as top drivers of freshwater biodiversity loss, revealing widespread harm to non-target species and actionable targets for conservation.

22 Jan 2025

West Virginia University Researchers Bring AI to the Humanities Classroom

Researchers at West Virginia University are developing an interdisciplinary curriculum to equip humanities faculty with the tools to explore AI's ethical, social, and technical dimensions and integrate AI into their courses.

22 Jan 2025

Thinner Ice, Faster Flow: AI Redraws Alps’ Ice Sheet Dynamics

Researchers at the University of Lausanne used physics-driven AI to simulate the Alps’ last ice age at 300-meter resolution, reducing ice thickness mismatches by 200–450% and confirming trimlines as true ice elevation markers. The model, accelerated by GPUs, ran 100 simulations in days, revealing faster ice flow in valleys and offering insights for paleoclimate and future ice sheet projections.

22 Jan 2025

Rethinking AI: Designing Humane Autonomous Technologies for Better Lives

This book explores ethical, humane, and multidisciplinary perspectives on AI and autonomous systems, examining their impact on society, work, and human well-being.

21 Jan 2025

AI-Powered Clustering Makes Sense of Social Media Chaos With Human-Interpretable Results

Researchers developed a method using large language models (LLMs) to cluster short text data into human-interpretable groups, validated by both human reviewers and generative AI like ChatGPT, offering scalable solutions for analyzing social media and other short text datasets.

21 Jan 2025

KAIST Develops Revolutionary Self-Learning Neuromorphic Chip for Edge AI

Researchers at KAIST have developed a highly reliable, selector-less memristor-based computing system that enables real-time, self-learning AI processing on edge devices, achieving accuracy comparable to ideal simulations in tasks like video foreground-background separation.

21 Jan 2025

AI Models Struggle to Master Expert-Level Historical Knowledge

Researchers benchmarked AI models using the Seshat Global History Databank and found significant gaps in their ability to understand and analyze expert-level historical knowledge.

21 Jan 2025

Experts Tackle Ethical Challenges of Artificially Aware AI Systems

The 2nd Workshop on the Ethics of AI Awareness at Uppsala University explored the ethical challenges and responsibilities of integrating AI systems with artificial awareness, emphasizing transparency, accountability, and societal alignment. Experts discussed governance frameworks, stakeholder engagement, and balancing risks with benefits.

21 Jan 2025

Optical Chip Connections Could Shatter AI's Memory Bottleneck

A new optical chip-connection system aims to break the “memory wall” that limits AI model growth and computing speed by replacing traditional electrical connections with reconfigurable light pathways, promising data transfer speeds 100 times faster than current technology.

21 Jan 2025

Noninvasive AI Tech Unlocks Hidden Insights in Heart Cells

Researchers have developed a noninvasive AI-driven method to accurately reconstruct heart muscle cell electrical activity, offering new possibilities for drug testing and personalized medicine.

20 Jan 2025

ViTok’s Scalable Design Boosts AI Efficiency in Image and Video Processing

Researchers introduce ViTok, a Vision Transformer-based auto-encoder that scales visual tokenization to enhance image and video generation while reducing computational costs.

19 Jan 2025

L'Oréal Taps IBM’s AI to Advance Sustainable Cosmetic Formulation

IBM and L'Oréal have partnered to develop an AI-driven foundation model to revolutionize cosmetic formulation, aiming to enhance sustainability and inclusivity while optimizing production processes globally. This collaboration leverages IBM's GenAI technology to facilitate L'Oréal's shift towards bio-sourced and circular economy materials by 2030.

19 Jan 2025

Next-Gen AI Hardware Uses Spin Waves to Unlock Unmatched Computing Power

Researchers developed an iono-magnonic reservoir computing device leveraging spin wave manipulation through ion-gating, achieving groundbreaking computational efficiency for AI systems.

19 Jan 2025

AI Unlocks High-Resolution Cellular Imaging Without Fluorescent Staining

Researchers at POSTECH have developed an explainable deep learning-based imaging technology that transforms low-resolution, label-free images into high-resolution, virtually stained cellular visuals with enhanced accuracy and reliability.

19 Jan 2025

AI-Powered Wearables Provide Breakthrough in IBD Disease Monitoring

Wearable devices such as Apple Watches, Fitbits, and Oura Rings can identify and predict inflammatory bowel disease (IBD) flares weeks before symptoms appear, enabling continuous, non-invasive disease monitoring.

17 Jan 2025

Explainable AI Transforms ICU Decision-Making and Patient Outcomes

Research introduces an explainable AI model that predicts ICU length of stay with 90% accuracy while providing evidence-based insights for informed decision-making. This innovative approach aims to optimize resource allocation, reduce overcrowding, and improve patient outcomes.

17 Jan 2025

Transforming Robotics: Dataset Enhances 6D Pose Algorithms

Study introduces a robust RGB-D dataset for 6D pose estimation, enabling robots to perform industrial pick-and-place tasks with greater precision. The dataset's evaluation with cutting-edge models highlights its potential for advancing robotic automation.

16 Jan 2025

Predicting the Unpredictable: The New Era of Reservoir Computing

Researchers introduced a novel reservoir computing framework with a generalized readout, leveraging higher-order nonlinearities to enhance accuracy and robustness in predicting chaotic systems.

16 Jan 2025