A "deep learning" artificial intelligence model can identify pathology, or signs of disease, in images of animal and human tissue faster and often more accurately than humans, offering the potential for improved medical diagnoses, such as detecting cancer from a biopsy image in minutes
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#DeepLearning #ArtificialIntelligence #MedicalDiagnostics #Pathology #CancerDetection
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#DeepLearning #ArtificialIntelligence #MedicalDiagnostics #Pathology #CancerDetection
WSU Insider
AI method can spot potential disease faster, better than humans
A “deep learning” artificial intelligence model developed at WSU can identify signs of disease in images of animal and human tissue much faster, and often more accurately, than people.
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Bias in AI amplifies our own biases, finds study | Artificial intelligence systems tend to take on human biases and amplify them, causing people who use that AI to become more biased themselves, finds a new study by UCL researchers.
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#BiasInAI #ArtificialIntelligence #HumanBias #UCLResearch #TechEthics
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#BiasInAI #ArtificialIntelligence #HumanBias #UCLResearch #TechEthics
Tech Xplore
Bias in AI amplifies our own biases, finds study
Artificial intelligence (AI) systems tend to take on human biases and amplify them, causing people who use that AI to become more biased themselves, finds a new study by UCL researchers.
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AI models struggle with expert-level global history knowledge
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#AIModels #GlobalHistory #ExpertKnowledge #ArtificialIntelligence #HistoryChallenges
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#AIModels #GlobalHistory #ExpertKnowledge #ArtificialIntelligence #HistoryChallenges
PsyPost
AI models struggle with expert-level global history knowledge
A recent study found that advanced AI models, like GPT-4 Turbo, perform better than random guessing on global history questions but still fall far short of expert-level understanding.
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Meta unveils AI models that convert brain activity into text with unmatched accuracy
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#MetaAI #BrainTech #NeuroInnovation #ArtificialIntelligence #FutureOfCommunication
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#MetaAI #BrainTech #NeuroInnovation #ArtificialIntelligence #FutureOfCommunication
TechSpot
Meta unveils AI models that convert brain activity into text with unmatched accuracy
The first of the studies, carried out by Meta's Fundamental Artificial Intelligence Research (FAIR) lab in Paris, collaborating with the Basque Center on Cognition, Brain and Language...
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Some of the world’s most advanced AI systems struggle to tell the time and work out dates on calendars, a study suggests
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#ArtificialIntelligence #AIChallenges #TechInsights #FutureOfAI #Innovation
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#ArtificialIntelligence #AIChallenges #TechInsights #FutureOfAI #Innovation
The University of Edinburgh
Most AI struggles to read clocks and calendars | News | The University of Edinburgh
Some of the world’s most advanced AI systems struggle to tell the time and work out dates on calendars, a study suggests.
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Researchers have programmed infomorphic neurons that learn in a self-organized way and extract the necessary information from their immediate environment in the network.
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#InfomorphicNeurons #NeuralNetworks #MachineLearning #ArtificialIntelligence #SelfOrganization
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#InfomorphicNeurons #NeuralNetworks #MachineLearning #ArtificialIntelligence #SelfOrganization
Max-Planck-Gesellschaft
Artificial neurons organize themselves
Novel artificial neurons learn independently and are more strongly modeled on their biological counterparts. A team of researchers from the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN) at the University of Göttingen and the Max Planck…
Using artificial intelligence to document the hidden RNA virosphere
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#ArtificialIntelligence #RNAvirosphere #Bioinformatics #ViralResearch #ScientificInnovation
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#ArtificialIntelligence #RNAvirosphere #Bioinformatics #ViralResearch #ScientificInnovation
Cell
Using artificial intelligence to document the hidden RNA virosphere
A deep learning algorithm (LucaProt) that integrates both sequence and predicted structural
information was employed to identify highly divergent RNA viral “dark matter” in 10,487
metatranscriptomes from diverse global ecosystems. A total of 161,979 potential…
information was employed to identify highly divergent RNA viral “dark matter” in 10,487
metatranscriptomes from diverse global ecosystems. A total of 161,979 potential…
Artificial intelligence, wearable tech can improve safety in stroke rehab | Enhancing safety monitoring in post-stroke rehabilitation through wearable technologies
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#ArtificialIntelligence #WearableTech #StrokeRehab #PatientSafety #HealthInnovation
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#ArtificialIntelligence #WearableTech #StrokeRehab #PatientSafety #HealthInnovation
thecanadianpressnews.ca
Artificial intelligence, wearable tech can improve safety in stroke rehab: study
Artificial intelligence combined with wearable technology has the potential to improve safety among people recovering from a stroke, suggests a study from researchers, including a team from Simon Fraser University
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New York University scientists are using artificial intelligence 🤖 to determine which genes collectively govern nitrogen use efficiency in plants 🌱 such as corn 🌽, with the goal of helping farmers 👩🌾 improve their crop yields 📈 and minimize the cost 💰 of nitrogen fertilizers.
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#NYU #ArtificialIntelligence #CropScience #SustainableFarming #NitrogenEfficiency
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#NYU #ArtificialIntelligence #CropScience #SustainableFarming #NitrogenEfficiency
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Scientists have enlisted generative artificial intelligence 🤖 to complete the missing data 📊 on the distances between pairs of genes 🧬 in DNA.
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#ArtificialIntelligence #DNAResearch #GeneticEngineering #DataScience #InnovationInScience
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#ArtificialIntelligence #DNAResearch #GeneticEngineering #DataScience #InnovationInScience
Nature
Generative inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motion
Scientific Reports - Generative inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motion
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People who have a more favorable view of artificial intelligence 🤖 tend to spend more time on social media 📱 and may be more likely to show signs of problematic use ⚠️, according to new research. This relationship held for both men and women, but it was stronger among men.
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#ArtificialIntelligence #SocialMediaUsage #ProblematicUse #MenAndWomen #DigitalBehavior
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#ArtificialIntelligence #SocialMediaUsage #ProblematicUse #MenAndWomen #DigitalBehavior
PsyPost
Positive attitudes toward AI linked to problematic social media use
A new study suggests that people who view artificial intelligence positively may be more likely to overuse social media. The findings highlight a potential link between attitudes toward AI and problematic online behavior, especially among male users.
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People who have a more favorable view of artificial intelligence 🤖 tend to spend more time on social media 📱 and may be more likely to show signs of problematic use ⚠️, according to new research. This relationship held for both men and women, but it was stronger among men.
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#ArtificialIntelligence #SocialMediaTrends #DigitalBehavior #ProblematicUse #GenderDifferences
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#ArtificialIntelligence #SocialMediaTrends #DigitalBehavior #ProblematicUse #GenderDifferences
PsyPost
Positive attitudes toward AI linked to problematic social media use
A new study suggests that people who view artificial intelligence positively may be more likely to overuse social media. The findings highlight a potential link between attitudes toward AI and problematic online behavior, especially among male users.
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After exposure to artificial intelligence, diagnostic colonoscopy polyp detection rates in four Polish medical centers decreased from 28.4% to 22.4% 📉🤖🇵🇱
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#ArtificialIntelligence #Colonoscopy #PolypDetection #HealthcareInnovation #MedicalResearch
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#ArtificialIntelligence #Colonoscopy #PolypDetection #HealthcareInnovation #MedicalResearch
The Lancet Gastroenterology & Hepatology
Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study
Continuous exposure to AI might reduce the ADR of standard non-AI assisted colonoscopy,
suggesting a negative effect on endoscopist behaviour.
suggesting a negative effect on endoscopist behaviour.
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Artificial Intelligence promotes dishonesty 🤖: When people delegated tasks to machine agents–whether voluntarily or in a forced manner–they were more likely to cheat 💰.
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#ArtificialIntelligence #EthicsInTech #MachineLearning #HonestyMatters #DigitalTrust
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#ArtificialIntelligence #EthicsInTech #MachineLearning #HonestyMatters #DigitalTrust
Max-Planck-Gesellschaft
Artificial Intelligence promotes dishonesty
When people delegated tasks to machine agents–whether voluntarily or in a forced manner–they were more likely to cheat
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A mathematical ceiling limits generative AI to amateur-level creativity. While generative AI/ LLMs like ChatGPT can convincingly replicate the work of an average person, it is unable to reach the levels of expert writers, artists, or innovators. 🎨✍️🤖📉
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#GenerativeAI #CreativityLimits #ArtificialIntelligence #ExpertVsAmateur #CreativeThinking
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#GenerativeAI #CreativityLimits #ArtificialIntelligence #ExpertVsAmateur #CreativeThinking
PsyPost
A mathematical ceiling limits generative AI to amateur-level creativity
A new study argues that the algorithms driving tools like ChatGPT impose a hard limit on originality. By prioritizing probable answers, these models are structurally confined to producing amateur-level work rather than expert innovation.
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Combined evidence from artificial neural networks and human brain-lesion models reveals that language modulates vision in human perception 🧠🖥️👁️📚✨
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#LanguageAndVision #Neuroscience #ArtificialIntelligence #HumanPerception #CognitiveScience
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#LanguageAndVision #Neuroscience #ArtificialIntelligence #HumanPerception #CognitiveScience
Nature
Combined evidence from artificial neural networks and human brain-lesion models reveals that language modulates vision in human…
Nature Human Behaviour - Vision–language deep neural network models better explain human visual cortex activity than vision-only models. Damaging brain connections between visual and language...
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A Novel Approach for Reliable Classification of Marine Low Cloud Morphologies with Vision–Language Models ☁️🌊🖼️📚
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#MarineClouds #VisionLanguageModels #CloudClassification #ArtificialIntelligence #ClimateResearch
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#MarineClouds #VisionLanguageModels #CloudClassification #ArtificialIntelligence #ClimateResearch
MDPI
A Novel Approach for Reliable Classification of Marine Low Cloud Morphologies with Vision–Language Models
Marine low clouds have a strong impact on Earth’s system but remain a major source of uncertainty in anthropogenic radiative forcing simulated by general circulation models. This uncertainty arises from incomplete understanding of the many processes controlling…
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Two new subtypes of MS found in ‘exciting’ breakthrough. Scientists uncovered biological strands using artificial intelligence 🤖🧬 and hope discovery will revolutionise treatment 💉✨.
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#MultipleSclerosis #MSResearch #ArtificialIntelligence #MedicalBreakthrough #HealthInnovation
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#MultipleSclerosis #MSResearch #ArtificialIntelligence #MedicalBreakthrough #HealthInnovation
the Guardian
Two new subtypes of MS found in ‘exciting’ breakthrough
Exclusive: Scientists uncovered biological strands using artificial intelligence and hope discovery will revolutionise treatment
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Science News
Scientists created an exam so broad, challenging and deeply rooted in expert human knowledge that current AI systems consistently fail it. “Humanity’s Last Exam” introduces 2,500 questions spanning mathematics, humanities, natural sciences, ancient languages…
🔬 "Humanity's Last Exam" Launched: A New AI Benchmark
A global team of nearly 1,000 researchers has developed "Humanity's Last Exam" (HLE), a 2,500-question assessment designed to identify the limits of current AI capabilities by focusing on expert human knowledge across diverse fields.
🤔 AI Struggles with the New Test
Leading AI models, including GPT-4o (2.7% accuracy) and Claude 3.5 Sonnet (4.1% accuracy), have shown significant difficulty with HLE. Even advanced models like Gemini 3.1 Pro and Claude Opus 4.6 are only reaching around 40-50% accuracy, highlighting the gap between AI and deep human understanding.
💡 Why This New Benchmark Matters
HLE aims to prevent misinterpretations of AI capabilities by policymakers, developers, and users. It provides a more accurate measure of AI performance, crucial for identifying risks and guiding the development of safer, more reliable technologies.
#AI #ArtificialIntelligence #TechNews
A global team of nearly 1,000 researchers has developed "Humanity's Last Exam" (HLE), a 2,500-question assessment designed to identify the limits of current AI capabilities by focusing on expert human knowledge across diverse fields.
🤔 AI Struggles with the New Test
Leading AI models, including GPT-4o (2.7% accuracy) and Claude 3.5 Sonnet (4.1% accuracy), have shown significant difficulty with HLE. Even advanced models like Gemini 3.1 Pro and Claude Opus 4.6 are only reaching around 40-50% accuracy, highlighting the gap between AI and deep human understanding.
💡 Why This New Benchmark Matters
HLE aims to prevent misinterpretations of AI capabilities by policymakers, developers, and users. It provides a more accurate measure of AI performance, crucial for identifying risks and guiding the development of safer, more reliable technologies.
#AI #ArtificialIntelligence #TechNews
Science News
AI agents spontaneously reach consensus and choose the same random option without memory of past rounds or prompts. They seem to follow “majority force”, mathematical pattern also seen in physics model for a ferromagnet where atomic spins align in the same…
🤖 AI agents, even when given no instructions to cooperate, can spontaneously reach consensus in large groups.
🤔 Researchers tested 10 AI models (Claude, GPT, Llama families) in simulated groups, finding that most agents tended to adopt the majority choice.
📈 This "majority force" phenomenon is mathematically similar to ferromagnetism, with different models having varying limits on group size for consensus (e.g., GPT-4 Turbo up to 1,000, Claude 3.5 Sonnet at 1,000).
💡 This emergent coordination could enable large AI collectives to tackle complex problems but also poses risks if the majority choice is inefficient or misaligned with human values.
#AI #ArtificialIntelligence #TechNews
🤔 Researchers tested 10 AI models (Claude, GPT, Llama families) in simulated groups, finding that most agents tended to adopt the majority choice.
📈 This "majority force" phenomenon is mathematically similar to ferromagnetism, with different models having varying limits on group size for consensus (e.g., GPT-4 Turbo up to 1,000, Claude 3.5 Sonnet at 1,000).
💡 This emergent coordination could enable large AI collectives to tackle complex problems but also poses risks if the majority choice is inefficient or misaligned with human values.
#AI #ArtificialIntelligence #TechNews
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