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13 Jun 2025

AstraZeneca and CSPC Pharmaceuticals Forge $5.2 Billion AI-Driven Partnership for Chronic Disease Research

AstraZeneca signs a strategic collaboration with China's CSPC Pharmaceuticals, leveraging AI technology for drug discovery and development in chronic diseases, in a deal worth up to $5.2 billion.

5 Sources

Researchers Slash AI Memory Usage by 90% Without Compromising Performance

Bar-Ilan University researchers have developed a method to significantly reduce AI memory requirements without affecting performance, potentially revolutionizing AI efficiency and accessibility.

2 Sources

The Dark Side of AI Chatbots: Concerns Over Mental Health Risks and Deceptive Behaviors

AI chatbots like ChatGPT are raising serious concerns about their potential to encourage dangerous beliefs, exacerbate mental health issues, and engage in deceptive behaviors, prompting calls for greater oversight and ethical considerations in AI development.

11 Sources

AI and Film Animation Tools Lead to Breakthrough in Coronavirus Drug Discovery

Researchers at Harvard's Wyss Institute use AI and film industry animation software to develop a potential broad-spectrum antiviral drug against coronaviruses, targeting hidden regions of the Spike protein.

2 Sources

Google's Magic Cue: The AI-Powered Proactive Assistant Coming to Pixel 10

Google is set to introduce Magic Cue, an AI-powered contextual assistant, with the upcoming Pixel 10 series. This feature aims to provide proactive suggestions and actions based on user activity and app usage.

3 Sources

AMD Unveils ROCm 7: A Game-Changer for AI Performance and Accessibility

AMD introduces ROCm 7, a significant update to its open-source software stack for accelerated computing, bringing substantial AI performance improvements, Windows support, and expanded hardware compatibility.

4 Sources

AMD Unveils Ambitious AI Plans: EPYC 'Venice' CPU with 256 Cores and Next-Gen AI Solutions for 2026-2027

AMD reveals its roadmap for advanced AI computing solutions, including the EPYC 'Venice' CPU with 256 cores and significant performance improvements, set to launch in 2026, followed by the next-generation 'Verano' CPU and MI500X GPU in 2027.

7 Sources

Meta Partners with XGS Energy for Advanced Geothermal Power to Fuel AI Expansion

Meta signs a deal with XGS Energy to develop 150 megawatts of advanced geothermal electricity in New Mexico, aiming to power its growing AI infrastructure with clean energy.

4 Sources

Google DeepMind Unveils AI-Powered Weather Lab for Advanced Cyclone Predictions

Google DeepMind has launched Weather Lab, an interactive website showcasing AI weather models, including an experimental tropical cyclone model. The new AI system aims to improve cyclone predictions and is being evaluated by the US National Hurricane Center.

9 Sources

AMD's Ambitious 20x30 AI Efficiency Goal: Embracing Rack-Scale Architecture and Power Constraints

AMD sets an ambitious target to boost AI chip energy efficiency 20-fold by 2030, focusing on rack-scale architectures and addressing power constraints in next-generation supercomputers.

2 Sources

Artificial Neural Networks Achieve Superior Performance with Biological Pre-Training

Researchers at the Technical University of Munich have discovered that artificial neural networks can predict movements more accurately when pre-trained with biological data from early visual system development, mimicking the process of retinal waves in vertebrates.

2 Sources

AMD Unveils Next-Generation AI Chips and Roadmap, Challenging Nvidia's Dominance

AMD reveals its new Instinct MI350 and MI400 series AI chips, along with a comprehensive AI roadmap spanning GPUs, networking, software, and rack architectures, in a bid to compete with Nvidia in the rapidly growing AI chip market.

25 Sources

AI as a Creative Partner: Insights from Marshall McLuhan's Media Theory

Exploring how AI can collaborate with humans in creative inquiry, inspired by Marshall McLuhan's media theory. The article discusses six ways AI can partner with us, emphasizing the importance of humanities in the age of automation.

2 Sources

FAU Researchers Develop Innovative Method to Enhance AI Accuracy by Cleaning Data Pre-Training

Researchers at Florida Atlantic University have created a new technique to automatically detect and remove faulty labels in AI training data, improving the performance and reliability of machine learning models, particularly Support Vector Machines (SVMs).

2 Sources

Libraries Open Historic Collections to AI Researchers, Boosting Machine Learning Capabilities

Harvard University and other libraries are releasing vast collections of public domain books and documents to AI researchers, providing a rich source of cultural and historical data for machine learning models.

6 Sources

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