Showing 589 to 600 of 2,533 results
Huawei to Mass-Ship 910C AI Chip, Challenging US Export Controls
Huawei plans to mass-ship its 910C AI chip to Chinese customers next month, providing a domestic alternative to Nvidia's H20 chip now subject to US export licenses; the chip, manufactured partly by SMIC and using components from TSMC-made chips for Sophgo, offers comparable performance to Nvidia's H...
Huawei to Mass-Ship 910C AI Chip, Challenging US Export Controls
Huawei plans to mass-ship its 910C AI chip to Chinese customers next month, providing a domestic alternative to Nvidia's H20 chip now subject to US export licenses; the chip, manufactured partly by SMIC and using components from TSMC-made chips for Sophgo, offers comparable performance to Nvidia's H...
Progress
36% Bias Score
Experienced LLM Users Exceed AI in Detecting AI-Generated Text
A University of Maryland, Microsoft, and University of Massachusetts Amherst study found that experienced users of large language models (LLMs) can detect AI-generated text with 99.3% accuracy, rivaling the best AI detection software, such as Pangram, highlighting the potential for hybrid human-AI d...
Experienced LLM Users Exceed AI in Detecting AI-Generated Text
A University of Maryland, Microsoft, and University of Massachusetts Amherst study found that experienced users of large language models (LLMs) can detect AI-generated text with 99.3% accuracy, rivaling the best AI detection software, such as Pangram, highlighting the potential for hybrid human-AI d...
Progress
32% Bias Score
AI Reshapes Higher Education and Opens New Opportunities
The University of Chicago president and other experts discuss how AI is transforming higher education and various fields, with no-code platforms opening opportunities for non-programmers and institutions like the National Endowment for the Humanities supporting humanities research on AI's societal i...
AI Reshapes Higher Education and Opens New Opportunities
The University of Chicago president and other experts discuss how AI is transforming higher education and various fields, with no-code platforms opening opportunities for non-programmers and institutions like the National Endowment for the Humanities supporting humanities research on AI's societal i...
Progress
36% Bias Score
Politeness to AI: A Costly Environmental Burden
Sam Altman highlighted the significant environmental cost of polite language in AI interactions, revealing that unnecessary words like "please" and "thank you" consume millions in electricity and computing resources, contributing to global energy waste.
Politeness to AI: A Costly Environmental Burden
Sam Altman highlighted the significant environmental cost of polite language in AI interactions, revealing that unnecessary words like "please" and "thank you" consume millions in electricity and computing resources, contributing to global energy waste.
Progress
48% Bias Score
AI-Powered Job Application Scams Surge, Posing Major Security Risk
AI is enabling a surge in sophisticated job application scams, with Gartner predicting that 25% of applicants will be fake by 2028; North Korean operatives are already using this method to generate hundreds of millions of dollars annually for their military.
AI-Powered Job Application Scams Surge, Posing Major Security Risk
AI is enabling a surge in sophisticated job application scams, with Gartner predicting that 25% of applicants will be fake by 2028; North Korean operatives are already using this method to generate hundreds of millions of dollars annually for their military.
Progress
32% Bias Score
Dynex's qdLLM: A Quantum-Inspired LLM Achieving 10x Speed and 90% Reduced Resource Use
Dynex's Quantum Diffusion Large Language Model (qdLLM), a finalist in the SXSW 2025 innovation awards, uses a diffusion model and decentralized GPUs to achieve claimed 10x speed and 90% reduction in GPU resource use compared to existing LLMs, potentially revolutionizing AI efficiency.
Dynex's qdLLM: A Quantum-Inspired LLM Achieving 10x Speed and 90% Reduced Resource Use
Dynex's Quantum Diffusion Large Language Model (qdLLM), a finalist in the SXSW 2025 innovation awards, uses a diffusion model and decentralized GPUs to achieve claimed 10x speed and 90% reduction in GPU resource use compared to existing LLMs, potentially revolutionizing AI efficiency.
Progress
44% Bias Score
Pace University Integrates AI into Curriculum and Operations
Pace University is integrating artificial intelligence into its curriculum and operations to prepare students for the future workforce, offering courses on AI literacy and ethics, and ensuring equitable access to these advancements.
Pace University Integrates AI into Curriculum and Operations
Pace University is integrating artificial intelligence into its curriculum and operations to prepare students for the future workforce, offering courses on AI literacy and ethics, and ensuring equitable access to these advancements.
Progress
40% Bias Score
AI Cameras in Pakistan Aim to Protect Snow Leopards
To combat snow leopard killings in Pakistan's Gilgit-Baltistan, WWF and LUMS deployed 10 AI-powered cameras across three villages; these cameras detect snow leopards and send text warnings to villagers to move their livestock, aiming to prevent retaliatory killings and increase snow leopard survival...
AI Cameras in Pakistan Aim to Protect Snow Leopards
To combat snow leopard killings in Pakistan's Gilgit-Baltistan, WWF and LUMS deployed 10 AI-powered cameras across three villages; these cameras detect snow leopards and send text warnings to villagers to move their livestock, aiming to prevent retaliatory killings and increase snow leopard survival...
Progress
44% Bias Score
Statistics: The Unsung Hero of AI and Finance
Statistical methods like sampling, descriptive and inferential statistics, and dimensionality reduction are crucial in both large language model (LLM) development and financial decision-making, impacting accuracy and reliability of predictions, risk assessment, and model training.
Statistics: The Unsung Hero of AI and Finance
Statistical methods like sampling, descriptive and inferential statistics, and dimensionality reduction are crucial in both large language model (LLM) development and financial decision-making, impacting accuracy and reliability of predictions, risk assessment, and model training.
Progress
16% Bias Score
Humanoid Robots: Expectations vs. Reality
A Russian article explores the discrepancy between expectations and reality regarding humanoid robots, noting high production costs and the current focus on industrial robotics while highlighting potential future applications in various sectors like food service and agriculture.
Humanoid Robots: Expectations vs. Reality
A Russian article explores the discrepancy between expectations and reality regarding humanoid robots, noting high production costs and the current focus on industrial robotics while highlighting potential future applications in various sectors like food service and agriculture.
Progress
36% Bias Score
AI-Powered Robots Revolutionize Recycling Efficiency
AMP Robotics, a Colorado-based company, uses AI-powered robots to improve recycling efficiency by identifying and sorting recyclable materials faster and more accurately than humans, addressing industry challenges such as rising costs and labor shortages, and increasing the amount of materials reuse...
AI-Powered Robots Revolutionize Recycling Efficiency
AMP Robotics, a Colorado-based company, uses AI-powered robots to improve recycling efficiency by identifying and sorting recyclable materials faster and more accurately than humans, addressing industry challenges such as rising costs and labor shortages, and increasing the amount of materials reuse...
Progress
48% Bias Score
German Coalition Prioritizes Data Use Over Privacy, Sparking Civil Liberties Concerns
Germany's upcoming coalition government plans increased digital surveillance, prioritizing data use over privacy, including biometric data tracking and expanded data retention, while potentially weakening data protection for SMEs and centralizing oversight, sparking concerns from civil society group...
German Coalition Prioritizes Data Use Over Privacy, Sparking Civil Liberties Concerns
Germany's upcoming coalition government plans increased digital surveillance, prioritizing data use over privacy, including biometric data tracking and expanded data retention, while potentially weakening data protection for SMEs and centralizing oversight, sparking concerns from civil society group...
Progress
48% Bias Score
Showing 589 to 600 of 2,533 results