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24 Apr 2025

TSMC Unveils A14 Chip Technology: A Leap Forward for AI and Mobile Computing

TSMC announces its 1.4nm A14 chip manufacturing process, set to enter production in 2028, promising significant performance improvements and power efficiency for AI and mobile applications.

12 Sources

Study Reveals People More Concerned About Immediate AI Risks Than Future Catastrophes

A new study by the University of Zurich finds that people are more worried about current AI risks like job loss and bias than potential future threats to humanity, challenging the notion that apocalyptic scenarios distract from pressing issues.

4 Sources

NIH Scientists Revolutionize Eye Imaging with AI-Enhanced Ophthalmoscopy

National Institutes of Health researchers have developed an AI system that dramatically improves standard eye imaging technology, enabling cellular-level visualization without specialized equipment. This breakthrough has significant implications for early disease detection and treatment monitoring in ophthalmology.

2 Sources

AI-Generated Code Hallucinations: A New Threat to Software Supply Chain Security

Recent research reveals that AI-generated code frequently contains references to non-existent packages, potentially opening doors for malicious actors to exploit these "hallucinations" in supply chain attacks.

4 Sources

Tempus AI Soars on $200 Million AstraZeneca Deal for AI-Powered Cancer Research

Tempus AI's stock surges following announcement of a multi-year collaboration with AstraZeneca and Pathos AI to develop an oncology-focused multimodal foundation model, highlighting the growing intersection of AI and healthcare.

3 Sources

Microsoft's 2025 Work Trend Index: AI Agents and the Rise of 'Frontier Firms'

Microsoft's latest research reveals the emergence of 'Frontier Firms' - organizations restructuring around AI-powered intelligence and human-agent collaboration, signaling a major shift in workplace dynamics and productivity.

8 Sources

Nvidia Launches NeMo Microservices to Boost Enterprise AI Agent Development

Nvidia has released NeMo microservices, a set of tools designed to help enterprises build and optimize AI agents for various tasks, aiming to improve productivity and ROI from AI investments.

5 Sources

MIT Researchers Develop "Periodic Table of Machine Learning" to Fuel AI Innovation

MIT researchers have created a periodic table of machine learning algorithms, showcasing connections between classical methods and potentially paving the way for new AI discoveries and improvements.

2 Sources

AI Algorithm Enables Earlier Lung Cancer Detection in GP Consultations

Researchers at Amsterdam UMC have developed an AI algorithm that can help GPs identify patients with increased lung cancer risk up to four months earlier than current methods, potentially improving survival rates and treatment outcomes.

2 Sources

23 Apr 2025

AI-Powered Blood Test for Early Cancer Detection to be Trialed in UK's NHS

A groundbreaking AI-powered blood test, capable of detecting 12 common cancers with 99% accuracy, is set to undergo trials in the UK's National Health Service. The test, developed by University of Southampton and Xgenera, could revolutionize early cancer detection and treatment.

4 Sources

Clarivate Unveils EndNote 2025: A Leap Forward in AI-Powered Research Management

Clarivate has released EndNote 2025, a reference management solution with new AI-powered features designed to enhance research efficiency and accuracy.

2 Sources

Brain-Inspired AI Breakthrough: Lp-Convolution Enhances Machine Vision

Researchers develop Lp-Convolution, a new AI technique that mimics human visual processing, improving image recognition accuracy and efficiency while reducing computational burden.

2 Sources

AI-Assisted Research Reveals Key Factor in Enhancing Antibody Effectiveness

A Scripps Research study, aided by AI, uncovers how antibody-to-antigen ratios influence immune cell activation, potentially revolutionizing vaccine and therapeutic development.

2 Sources

RHyME: Revolutionary AI System Enables Robots to Learn from a Single Video

Cornell University researchers have developed RHyME, an AI-powered system that allows robots to learn complex tasks by watching a single human demonstration video, significantly improving efficiency and adaptability in robotic learning.

4 Sources

Mount Sinai Researchers Enhance AI Algorithm to Improve Detection and Risk Assessment of Hypertrophic Cardiomyopathy

Mount Sinai researchers have calibrated an AI algorithm to more accurately identify and assess the risk of hypertrophic cardiomyopathy (HCM) in patients, potentially transforming how hospitals triage, risk-stratify, and counsel patients with this heart condition.

4 Sources

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