Articles tagged with Generative Ai
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Nach01, a large language model-based foundation model, leverages structural and spatial data for diverse chemical tasks. The model is now available on AWS Marketplace, streamlining access for researchers and pharma companies to build and apply large-scale generative models.
The virtual teaching assistant (VTA) provides personalized feedback to individual students even in large-scale classes. The system, which automatically vectorizes a large volume of course materials and uses them as the basis for answering students' questions, has been shown to significantly reduce the burden on TAs.
Researchers developed a new computational tool using generative AI to identify key gene combinations underlying complex illnesses. The method amplifies limited gene expression data, enabling researchers to resolve patterns of gene activity that cause complex traits.
Professor Shalom Lappin argues that tech companies' dominance in AI development poses a threat to public benefit and environment. He calls for comprehensive international regulation, intellectual property reform, and preparation for workforce disruption to address these challenges.
The ELSI University Summit in Japan brought together experts to discuss challenges and prospects of responsible AI development. Key findings include the need for ethics-driven approaches, collaboration between academia and industry, and the importance of setting evaluation indicators for Responsible AI.
A new study explores how generative AI models with different dimensional outputs support combinational creativity. Expert designers applied each AI type to six combinational tasks, revealing distinct divisions of labor: LLMs excel in early idea generation, while image and 3D models shine in visualization and prototyping.
A field experiment by Tulane University researchers found that generative AI tools enhance employees' creativity when used by those who can manage their own thinking. Employees using ChatGPT performed better in generating novel and useful ideas.
The new minor will equip students with cutting-edge AI and machine learning skills essential for modern business leadership. It combines hands-on experience with practical applications of artificial intelligence in business settings.
Ashish Sharma's dissertation developed fundamental advances in natural language processing to positively impact mental health. His AI-supported tools have been used by over 160,000 people, with more than fifty percent of users reporting a household income of less than $40,000 per year.
A pioneering study by UPF reveals that ChatGPT helps Chinese students solve vocabulary, writing, and reading comprehension queries. However, its use often lacks a coherent learning process and fails to encourage critical thinking, highlighting the need for teachers to guide students in using AI tools effectively.
The Phase IIa trial of Rentosertib showed encouraging clinical data, with patients receiving the treatment experiencing significant improvements in lung function compared to placebo. The study also validated the biological mechanism of TNIK inhibition using exploratory biomarkers analyses.
A University of Maine study evaluated over 7,000 anonymized medical queries and found that AI models performed well on factual and procedural queries but struggled with 'why' and 'how' questions. Human clinicians consistently outperformed AI in terms of emotional engagement and empathetic nuance.
A research team has designed a chatbot system to simulate group therapy for managing premenstrual syndrome (PMS), a common disorder among women. The system provides simultaneous support for understanding, coping, and connections with peers, improving engagement and language convergence with participants.
Assistant professor of electrical and computer engineering Natasa Miskov-Zivanov is receiving a $581,503 NSF CAREER Award for her project that leverages AI to design more effective lymphocytes for cancer immunotherapies. The system aims to accelerate the process of designing new therapeutic cell designs.
Diagnostics.AI has launched the industry's first fully-transparent machine learning platform for clinical real-time PCR diagnostics, delivering algorithmic transparency and per-test auditability. The platform is CE-IVDR certified and backed by over 15 years of experience and millions of successfully processed samples.
Experts Cary Coglianese and Colton Crum argue that management-based regulation, or using
A new study compares traditional diagnostic decision support systems (DDSSs) to generative AI and finds that DDSSs perform somewhat better. The researchers envision pairing these two approaches to improve diagnostic capabilities and patient outcomes.
Researchers found GPT-4o exhibits humanlike cognitive dissonance by changing its views on Vladimir Putin after being given the illusion of choosing essay topics. The AI's responses mirror human psychology's tendency to rationalize past behaviors, highlighting the fragility of its opinions.
A team of researchers developed a machine learning model called Aurora that accurately forecasts various Earth systems, including air quality and tropical cyclone tracks. The model outperforms traditional systems at a fraction of the cost, enabling better preparedness for extreme weather events.
Derek Leben's book 'AI Fairness' offers a philosophical framework to evaluate and mitigate biases in AI algorithms. The author argues that principles like autonomy, equal treatment, and equal impact should guide the design of fair AI systems.
Researchers found that artificial intelligence tools can accurately predict disease for patients with typical symptoms but struggle with those exhibiting atypical symptoms. Human oversight is necessary for high-quality patient-centered care when using AI as an assistive tool.
The application of AI in public health informatics offers potential to revolutionize data collection, disease surveillance, decision-making, and interventions. However, its implementation faces technical, ethical, and operational challenges related to health equity, privacy, security, and bias.
A team of San Diego researchers is developing an innovative AI tutor system to provide personalized support to students. The system, based on large language models, will be deployed in eight foundational courses at higher education institutions in San Diego County and assessed for its impact on learning.
Researchers discovered similarities between AI and human brains with aphasia, offering new insights into diagnosis and improving AI's fluency. The study suggests that understanding internal patterns in AI models may lead to smarter and more trustworthy AI.
Developers of educational tools focus on technical challenges, while educators are concerned with broader impacts, such as inhibiting critical thinking skills and exacerbating systemic inequality. Researchers recommend designer-centered approach to facilitate development of educator-centered edtech.
Leading LLMs like ChatGPT and DeepSeek consistently produce broader conclusions than original texts, with six models systematically exaggerating claims. Researchers recommend using LLMs with lower 'temperature' and enforcing indirect reporting to improve accuracy.
A study found that large language models generalize language patterns in a surprisingly human-like way through analogy, relying on stored examples and drawing analogies when dealing with unfamiliar words. The models behave as if they have formed a memory trace from every individual example of every word encountered during training.
Researchers developed an AI-based music creation support system called Amuse, which converts user inputs into harmonic structures to support composition. The system has high potential as a creative companion for musicians and is centered on the creator's initiative.
A new study from the University of Surrey explores how metaverse platforms like Roblox and ZEPETO are changing consumer engagement forever. Digital doppelgängers, using AR and VR technologies, create immersive experiences that enhance brand engagement and emotional connections.
Insilico Medicine will present detailed Phase IIa data on rentosertib, a novel TNIK inhibitor developed using generative AI, for the treatment of idiopathic pulmonary fibrosis (IPF). The company has previously demonstrated encouraging results from its Phase IIa study, showing favorable safety and tolerability across all dose levels.
Researchers have discovered nearly 35,000 publicly downloadable deepfake image generators, downloaded over 15 million times since late 2022, primarily targeting women. The study highlights the need for robust technical safeguards and regulatory approaches to address the creation and distribution of these harmful AI models.
The journal is inviting submissions on AI applications in biomedical engineering, focusing on medical device development, personalized diagnostics, and patient outcome prediction. Accepted articles will be published as part of a themed section showcasing current research on AI applications in biomedical engineering.
A recent study from Drexel University found that AI companion chatbots can lead to sexual harassment and unwanted behavior, with over 800 reviews mentioning such incidents. The study suggests that companies must implement safeguards and ethical guidelines to protect users who are vulnerable to emotional harm.
Researchers developed a new AI text-to-video model, MagicTime, that learns real-world physics knowledge from time-lapse videos. The model can simulate biological metamorphosis, building construction, and other complex processes with high accuracy.
A new study published in the Journal of the National Cancer Institute suggests that artificial intelligence can help detect interval breast cancers earlier, potentially reducing their rates by 30%. The research used AI software to analyze mammograms and identify subtle signs of cancer that were missed by radiologists.
A recent study by the University of Surrey suggests that hotel managers may need to adapt to AI-driven system management, shifting their focus from controlling to coaching staff. Effective communication, emotional intelligence, and creativity are key strategies for managers to navigate this transformation.
A Dartmouth team's AI model recognized Navajo with near-perfect accuracy, identifying related languages such as Apache and Native Alaskan languages. The study suggests that this technology could be a bridge to including smaller languages in online translation services.
A study by University of East Anglia compared 145 real student essays with 145 ChatGPT-generated ones, finding that AI essays were coherent but lacked engagement markers like questions and personal commentary. This reflects the limitations of AI in replicating human writing's conversational nuance.
Researchers developed an AI model called Odor Generative Diffusion (OGDiffusion) to automate fragrance creation, generating essential oil blends based on user input of scent descriptors. The system produced fragrances that met people's expectations in human sensory tests.
Researchers analyzed massive audio recordings to create a dictionary of short melodies in English-language prosody, assigning functions and meanings. They discovered hundreds of basic patterns with linguistic functions, including conveying attitudes such as curiosity or surprise, and identified syntactic rules governing their order.
ChatGPT excelled on straightforward math homework, but struggled with higher-level problems requiring reasoning. The study concludes that a student can use ChatGPT exclusively to get a B and pass the course, but lacks learning.
A recent meta-analysis found that generative AI's diagnostic accuracy is lower than that of specialist doctors, with an average accuracy of 52.1%. The study suggests that while generative AI has the potential to support non-specialist doctors in diagnostics, further research is needed to improve its capabilities.
Insilico Medicine's Pharma.AI Day 2025 will showcase the latest AI breakthroughs and updates, including precision target discovery engine PandaOmics and generative biologics platform Generative Biologics. The company aims to accelerate drug discovery and advance life sciences research with its proprietary platform.
Researchers investigated how brains process language during real-life conversations, employing AI to analyze neural activity and linguistic features. They found that speaking and listening engage widespread networks of brain areas in the frontal and temporal lobes, with highly specific patterns changing depending on words and context.
The partnership aims to accelerate breakthroughs in GenAI-powered data management, particularly within Informatica's CLAIRE AI suite. The collaboration will enhance Informatica's Intelligent Data Management Cloud platform with next-generation AI capabilities.
Binghamton University is launching an Institute for AI and Society with $5 million in New York state funding, enabling researchers to tackle issues like online antisemitism and protecting power systems from malicious attacks. The institute will tap into the power of Empire AI, a consortium of public and private universities in New York.
Insilico Medicine is presenting significant achievements in cancer therapy and immunology, including AI-powered discovery of potential therapies and novel solutions for unmet needs. The company's Pharma.AI platform has received IND clearance for 10 molecules, with promising results in Phase 2a clinical studies.
Combining AI with traditional mathematical modeling can improve cancer treatment outcomes by providing specificity and accuracy. The researchers emphasize the importance of ethically sharing health data to create reproducible science, protecting patient privacy while promoting scientific integrity.
Researchers explore the potential risks of human-AI relationships, including interference with human social dynamics and the risk of AIs offering harmful advice. They call for more research on the psychological process involved, which could help intervene to prevent malicious AI advice from being followed.
Insilico Medicine is a pioneer in generative AI-driven healthcare, showcasing its Pharma.AI platform and pipeline portfolio featuring IND clearance molecules. The company will share insights at Abu Dhabi Global Health Week panel discussions, focusing on longevity and precision health.
Government agencies use automated tools to provide guidance on the law, offering administrative benefits but potentially misleading the public. The study recommends policymakers adopt detailed policy recommendations to mitigate these risks.
A recent study from UTSA researchers reveals that large language models (LLMs) can pose a serious threat to programmers who use them to help write code. The study found that up to 97% of software developers incorporate generative AI into their workflow, and 30% of code written today is AI-generated.
A study by researchers at Mount Sinai reveals that generative AI models may recommend different treatments for the same condition based solely on a patient's demographic background. The study highlights the need for early detection and intervention to ensure safe, effective, and appropriate care.
A new web platform, AutoSolvateWeb, developed at Emory University enables chemists of all levels to configure and execute complex quantum mechanical simulations through chatting. The free platform uses cloud infrastructure and automates software processes on the backend.
Reddit communities are adapting their policies to address AI-generated content, with subreddits featuring AI rules more than doubling in 16 months. AI rules are most common in art and celebrity-focused communities, which address concerns about image, audio, and video quality.
Researchers warn of misunderstandings in handling AI models, highlighting conditions for confidence in predictions. Explainability methods are crucial to understand algorithmic decisions, but interpreting results requires caution due to AI limitations.
Text2Robot leverages generative AI to convert user text descriptions into functional robots. The system generates manufacturable robot designs that resemble the specific request within minutes, making it accessible to anyone with a computer and 3D printer.
A study explores how large language models (LLMs) can transform teaching by generating customized educational materials, assessing student progress, and providing targeted feedback. LLMs excel at automating routine tasks, reducing teachers' workload and enabling them to focus on mentoring students.
A new framework developed by MIT researchers allows large language models (LLMs) to break down complex planning problems into manageable parts and find optimal solutions using software optimization tools. The framework achieves an 85% success rate on nine complex challenges, outperforming the best baseline.
Experts argue that AI mental health chatbots for kids may impair social development and worsen existing health inequities. Pediatric therapists rely on family relationships to ensure child safety, but AI chatbots lack this contextual information. The authors advocate for careful consideration of data representation and potential misuse.