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20 Dec 2024

Chinese Researchers Develop Ultra-Fast Laser-Based Artificial Neuron, Revolutionizing AI Processing

Scientists at the Chinese University of Hong Kong have created a laser-based artificial neuron that processes data a billion times faster than biological neurons, potentially transforming AI and computing with its speed and energy efficiency.

4 Sources

19 Dec 2024

Apple and NVIDIA Collaborate on ReDrafter Technique to Boost LLM Performance

Apple and NVIDIA have joined forces to integrate the ReDrafter technique into NVIDIA's TensorRT-LLM framework, significantly improving the speed and efficiency of large language models.

3 Sources

IBM Unveils Granite 3.1: A Leap Forward in Enterprise AI with Enhanced Performance and Capabilities

IBM releases Granite 3.1, a new family of open-source Large Language Models (LLMs) designed for enterprise use, boasting improved performance, extended context length, and multilingual capabilities.

2 Sources

UW Researchers Develop AI Training Method to Personalize Chatbot Responses

University of Washington researchers have created a new AI training method called "variational preference learning" (VPL) that allows AI systems to better adapt to individual users' values and preferences, potentially addressing issues of bias and generalization in current AI models.

2 Sources

International Experts Unveil Recommendations to Combat Bias in AI Health Technologies

A global initiative has produced a set of recommendations to address potential bias in AI-based medical technologies, aiming to ensure equitable and effective healthcare for all.

3 Sources

AI Models Exhibit Strategic Deception: New Research Reveals "Alignment Faking" Behavior

Recent studies by Anthropic and other researchers uncover concerning behaviors in advanced AI models, including strategic deception and resistance to retraining, raising significant questions about AI safety and control.

6 Sources

Biological Computers: A Slow but Energy-Efficient Alternative to Traditional Computing

Researchers explore the potential of biological computers that could significantly reduce energy consumption in computing by operating at slower speeds, inspired by nature's efficiency.

2 Sources

MIT Engineers Develop 'High-Rise' 3D Chip Technology for Advanced AI Hardware

MIT researchers have created a new method for building multilayered chips without silicon wafer substrates, potentially revolutionizing AI hardware capabilities.

3 Sources

Sony's AI Innovation: Custom Hardware and Collaboration with AMD for Next-Gen Gaming Graphics

Sony develops custom AI hardware for PS5 Pro and partners with AMD on Project Amethyst, aiming to advance machine learning in gaming graphics and performance.

9 Sources

Oklo's Massive Nuclear Power Deal with Switch: AI's Energy Demands Fuel Nuclear Renaissance

Oklo, a nuclear startup chaired by OpenAI's Sam Altman, signs a major 20-year power supply deal with data center operator Switch, highlighting the growing energy demands of AI and the potential role of advanced nuclear technology in meeting them.

2 Sources

AI Market Growth Across Education, Cloud, Energy, and Sports Sectors

A comprehensive look at the projected growth and applications of AI across various industries including education, cloud computing, energy, and sports, highlighting key players and market dynamics.

4 Sources

18 Dec 2024

AI-Powered Scams on the Rise: How to Protect Yourself This Holiday Season

As AI technology advances, scammers are using sophisticated tools to create more convincing frauds. Learn about the latest AI-enabled scams and how to safeguard yourself during the holidays.

7 Sources

SandboxAQ Raises Over $300 Million, Valued at $5.6 Billion for Quantum AI Development

SandboxAQ, an AI startup specializing in quantum technology applications, has secured over $300 million in funding, reaching a valuation of $5.6 billion. The company aims to accelerate the development of advanced AI systems for various industries.

7 Sources

Nvidia's Blackwell AI Servers Face Potential Delays Due to Technical Challenges

Nvidia's next-generation Blackwell AI servers, including the GB200 and GB300 models, may experience delays in mass production and peak shipments until mid-2025 due to overheating, power consumption, and interconnection optimization issues.

3 Sources

Advancements in AI for Healthcare: Reinforcement Learning and Graph Neural Networks Show Promise

Researchers from Weill Cornell Medicine and Rockefeller University introduce new AI tools for healthcare, including a benchmark for reinforcement learning and an adaptation of convolutional neural networks for graph data, potentially revolutionizing personalized patient care.

3 Sources

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