Showing 49 to 60 of 74 results
Sub-$50 AI Model Achieves Advanced Reasoning Capabilities
Researchers at the Universities of Washington and Stanford trained an AI reasoning model, s1, for under $50 using a distillation technique from Google's Gemini 2.0, achieving performance comparable to OpenAI's o1 and DeepSeek's R1 in math and coding tasks.
Sub-$50 AI Model Achieves Advanced Reasoning Capabilities
Researchers at the Universities of Washington and Stanford trained an AI reasoning model, s1, for under $50 using a distillation technique from Google's Gemini 2.0, achieving performance comparable to OpenAI's o1 and DeepSeek's R1 in math and coding tasks.
Progress
36% Bias Score
Generative vs. Agentic AI: Creating vs. Acting
Generative AI creates content, while agentic AI acts autonomously; their convergence may create AI systems that both create and implement solutions, raising ethical questions.
Generative vs. Agentic AI: Creating vs. Acting
Generative AI creates content, while agentic AI acts autonomously; their convergence may create AI systems that both create and implement solutions, raising ethical questions.
Progress
24% Bias Score
Four Key Advancements Driving Stronger AI in 2025
Experts at recent AI conferences identify four key areas driving advancements in 2025: physics-aware systems enabling better physical interaction, persistent memory for continuous learning, high-quality training data to prevent inaccuracies, and a multidimensional approach mimicking the human brain'...
Four Key Advancements Driving Stronger AI in 2025
Experts at recent AI conferences identify four key areas driving advancements in 2025: physics-aware systems enabling better physical interaction, persistent memory for continuous learning, high-quality training data to prevent inaccuracies, and a multidimensional approach mimicking the human brain'...
Progress
24% Bias Score
AI Speeds Disaster Response: Alphabet's Bellwether System in Action
Alphabet's Bellwether system uses AI to rapidly tag aerial photos of disaster areas, enabling near-instantaneous response by organizations like the National Guard; in the LA wildfires, this has already proven vital in the face of 24 deaths and ongoing threats from further heavy winds.
AI Speeds Disaster Response: Alphabet's Bellwether System in Action
Alphabet's Bellwether system uses AI to rapidly tag aerial photos of disaster areas, enabling near-instantaneous response by organizations like the National Guard; in the LA wildfires, this has already proven vital in the face of 24 deaths and ongoing threats from further heavy winds.
Progress
44% Bias Score
Musk: AI Has Exhausted Human Knowledge, Turning to Synthetic Data
Elon Musk asserts that AI companies have exhausted the sum of human knowledge for training models, necessitating a shift to synthetic data, a process already underway, but raising concerns about accuracy and the risk of 'model collapse'.
Musk: AI Has Exhausted Human Knowledge, Turning to Synthetic Data
Elon Musk asserts that AI companies have exhausted the sum of human knowledge for training models, necessitating a shift to synthetic data, a process already underway, but raising concerns about accuracy and the risk of 'model collapse'.
Progress
44% Bias Score
AI's 2025 Impact: Automation, Specialization, and Multimodal Advancements
AI agents will automate routine tasks in businesses, industry-specific AI will advance, more devices will integrate AI, and multimodal AI will improve content generation.
AI's 2025 Impact: Automation, Specialization, and Multimodal Advancements
AI agents will automate routine tasks in businesses, industry-specific AI will advance, more devices will integrate AI, and multimodal AI will improve content generation.
Progress
12% Bias Score
Neuro-symbolic AI: Blending Neural Networks and Symbolic Models for Enhanced AI
Neuro-symbolic AI, combining neural networks and symbolic models, offers enhanced prediction and explanation capabilities over traditional AI, addressing limitations in handling subjective events and future trends, as exemplified by its application in B2B marketing and legal fields.
Neuro-symbolic AI: Blending Neural Networks and Symbolic Models for Enhanced AI
Neuro-symbolic AI, combining neural networks and symbolic models, offers enhanced prediction and explanation capabilities over traditional AI, addressing limitations in handling subjective events and future trends, as exemplified by its application in B2B marketing and legal fields.
Progress
56% Bias Score
AI Tutoring Yields Two Years of Learning Gains in Nigerian Students
A study of Nigerian students using AI tutoring showed six weeks of after-school tutoring resulted in two years of learning gains, outperforming 80% of other interventions and significantly helping girls initially behind.
AI Tutoring Yields Two Years of Learning Gains in Nigerian Students
A study of Nigerian students using AI tutoring showed six weeks of after-school tutoring resulted in two years of learning gains, outperforming 80% of other interventions and significantly helping girls initially behind.
Progress
56% Bias Score
Google's Titans Architecture: A Leap Towards Human-Like AI
Google unveiled Titans, a new AI architecture evolving from the Transformer model, which includes long-term and short-term memory and a surprise-based learning system, resulting in superior performance across various tasks compared to existing models.
Google's Titans Architecture: A Leap Towards Human-Like AI
Google unveiled Titans, a new AI architecture evolving from the Transformer model, which includes long-term and short-term memory and a surprise-based learning system, resulting in superior performance across various tasks compared to existing models.
Progress
48% Bias Score
Retinal Vascular Fingerprint Predicts Stroke Risk as Effectively as Traditional Factors
A study of 45,161 participants found that 29 retinal vascular parameters create a "vascular fingerprint" accurately predicting stroke risk, comparable to traditional methods, offering a cost-effective screening tool for primary care.
Retinal Vascular Fingerprint Predicts Stroke Risk as Effectively as Traditional Factors
A study of 45,161 participants found that 29 retinal vascular parameters create a "vascular fingerprint" accurately predicting stroke risk, comparable to traditional methods, offering a cost-effective screening tool for primary care.
Progress
16% Bias Score
Soaring Demand for AI Professionals Creates Lucrative Career Opportunities
Job postings for generative AI roles have increased tenfold in the past year, reflecting the growing value companies place on AI for boosting productivity and precision, creating high-paying opportunities in machine learning, natural language processing, and AI/ML product management.
Soaring Demand for AI Professionals Creates Lucrative Career Opportunities
Job postings for generative AI roles have increased tenfold in the past year, reflecting the growing value companies place on AI for boosting productivity and precision, creating high-paying opportunities in machine learning, natural language processing, and AI/ML product management.
Progress
48% Bias Score
AI Software Predicts Cascading Disasters in Turkey
ITU researchers developed DANGER, an AI-powered software predicting cascading hazards after disasters, using machine learning to analyze events like the 2023 Kahramanmaraş earthquakes and 2021 Manavgat wildfires, aiming to integrate with AFAD's system for improved disaster response.
AI Software Predicts Cascading Disasters in Turkey
ITU researchers developed DANGER, an AI-powered software predicting cascading hazards after disasters, using machine learning to analyze events like the 2023 Kahramanmaraş earthquakes and 2021 Manavgat wildfires, aiming to integrate with AFAD's system for improved disaster response.
Progress
20% Bias Score
Showing 49 to 60 of 74 results