Articles tagged with Generative Ai
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.
A University of Illinois study utilizes ChatGPT for sensory evaluation of brownies, revealing a positive bias in the AI's responses. The research highlights potential benefits of leveraging AI in food development, including saving time and money by narrowing down recipe options before human testing.
A recent study by University of Florida researchers found that AI can be a valuable assistant in academic research, but falls short of replacing human scientists. The team tested popular AI models in various stages of the research process and concluded that humans still have a vital place in the process.
The study found significant improvements in symptoms for participants with major depressive disorder, generalized anxiety disorder, and eating disorders. Participants reported trusting and communicating with Therabot comparable to working with a therapist.
Torsten Hoefler's groundbreaking work on high-performance computing and AI has revolutionized the capabilities of supercomputers. His innovations include MPI-3 nonblocking collective operations, 3D parallelism, and routing protocols that power modern AI systems.
Researchers at Hiroshima University propose using Large language models like ChatGPT to teach medical ethics, citing their ability to cultivate virtue. The authors argue that LLMs can reduce the load on educators while providing a foundation for moral knowledge.
Researchers developed a new method to include uncertainty in predictive algorithms, ensuring accurate and reliable solutions. The approach uses Markov models to explicitly include uncertainty in specific parameters, allowing for faster predictions and more complete analysis.
A new approach to AI developed by Texas A&M University engineers mimics the human brain's neural processes, integrating learning and memory in a single system. This 'Super-Turing AI' has the potential to revolutionize the industry by reducing energy consumption and environmental impact.
The study systematically traces Generative AI evolution from deep learning to foundation models, highlighting four distinct stages and successful applications. Key challenges like safety concerns and theoretical breakthroughs require further attention and development in the field of Generative AI.
A groundbreaking study found that AI-powered interviews with children can improve the accuracy of witness accounts by improving questioning style and efficiency. The study compared the performance of a Large Language Model (LLM) and untrained human interviewers in interviewing children about a mock event.
Researchers have developed a hybrid image-generation tool called HART that combines the strengths of autoregressive and diffusion models. It achieves high reconstruction quality with significantly reduced computational resources, enabling local execution on laptops or smartphones.
A team led by Dr. Marcus Botacin is creating a large language model (LLM) to automatically identify malware and write rules to defend against it. The LLM will use signatures to complement human analysts' skills, identifying malware faster and more accurately.
Researchers at Saarland University are developing leaner, customized AI models and techniques like knowledge distillation to reduce energy consumption. These smaller models enable small and medium-sized businesses to access powerful AI technology without a large technical infrastructure.
Insilico Medicine has secured a $110 million Series E financing to accelerate the advancement of its AI-driven drug discovery pipeline and platform developments. The funds will focus on refining AI models and algorithms, as well as advancing clinical validation of its flagship candidate for idiopathic pulmonary fibrosis treatment.
A survey of patients showed a slight preference for AI-drafted messages due to their length and empathetic tone, but overall satisfaction was high regardless of the author. However, disclosing AI involvement reduced patient satisfaction by just 0.1 points on a 5-point scale.
A recent study found that 45.9% of ChatGPT-generated feedback was rejected by second-language learners, with content-focused feedback facing higher rejection rates. The researchers identified four key factors driving rejection: misalignment with goals or external standards, and the subjective nature of content-related suggestions.
Barto and Sutton introduced the main ideas, constructed mathematical foundations, and developed algorithms for reinforcement learning, a key approach for intelligent systems. Their work has been influential in AI research, with applications in areas like robotics, network optimization, and natural language processing.
Rentosertib, a breakthrough drug candidate for idiopathic pulmonary fibrosis (IPF), has been granted an official generic name by the USAN Council. The drug's development was accelerated using generative AI, identifying TNIK as a promising target and designing small-molecule compounds in just 18 months.
CHARCHA, developed by Carnegie Mellon University and MIT researchers, uses real-time physical interactions to verify user identity in generative video content. The system prevents unauthorized deepfakes and gives users greater control over their likeness.
Insilico Medicine has deployed the first bipedal humanoid AI scientist, Supervisor, to aid in data acquisition and generation for training embodied AI systems. The humanoid will assist with lab tours, telepresence, tracking, and supervision, bridging the gap between human-free fully-autonomous robotics facilities.
Researchers from Cornell and Tel Aviv University developed ProtoSnap to copy cuneiform characters from photos of tablets. The approach allows for accurate reproduction of characters and whole tablets, making it easier for experts to analyze and compare ancient texts.
Researchers found that GenAI feedback offers timely and personalized feedback, educational benefits as an essay editor and tutor, and social benefits as a supportive environment. However, challenges include limited AI skills, dependency risk, and emotional understanding limitations.
Scientists developed a method that harnesses chromatic aberration to produce high-quality images using a single exposure. The AI approach uses generative models to retrieve phase information from limited data input.
Studies show that AI chatbots, when exposed to traumatic content, exhibit increased anxiety levels. However, researchers at the University of Zurich have found that therapeutic prompts can significantly reduce these elevated anxiety levels in language models like ChatGPT.
The collaboration combines Insilico's Pharma.AI platform with Tenacia's expertise in CNS biology and clinical development. By leveraging generative AI, the partnership seeks to expand therapeutic options and enhance outcomes for patients worldwide. Recent successes by Insilico include the nomination of ISM8969, a BBB penetrable NLRP3 i...
A recent UPV/EHU study reveals that ChatGPT use and plagiarism are linked to factors like student motivation and cultural norms, not just tool usage. The research found that 30% of dishonest behavior can be accounted for by these variables.
A recent study by the American Psychological Association suggests that professional artists are more creative than AI-generated artwork. The research found that artwork created with prompts by experienced artists was rated as significantly more creative than AI-generated work. Additionally, analysis revealed that professional artists u...
Insilico Medicine has discovered a potent and selective CDK12/13 dual inhibitor, compound 12b, using AI-powered platforms. The compound shows significant efficacy in breast cancer and AML models without inducing side effects, paving the way for further therapeutic development.
The new AI system, LLM4SD, can carry out basic steps of scientific research and provide insights to explain its results. It was tested with 58 research tasks across four domains, outperforming state-of-the-art tools and boosting accuracy by up to 48%.
Large language models (LLMs) can alter sentiment in research summaries, making it difficult to accurately assess public opinion on climate change. LLMs tend to display a more neutral tone than original texts, regardless of prompts or model sophistication.
A recent study from the University of Kansas found that people tend to prefer AI chatbots when discussing sensitive or embarrassing topics like health information, due to their anonymity and nonjudgmental nature. However, when individuals are angry, they still prefer human interaction.
A new study reveals that GPT models perform well on some analogy tasks but struggle with variations, highlighting key weaknesses in AI's reasoning capabilities. Analogical reasoning is a crucial aspect of human cognition and decision-making, yet AI models often rely on superficial patterns rather than deep comprehension.
The collaboration aims to accelerate antibody discovery and development using Harbour BioMed's technology platform and Insilico's AI expertise. The companies will develop next-generation AI-powered antibodies for immunology, oncology, and neuroscience, aiming to deliver innovative therapies with enhanced specificity, efficacy, and safety.
A groundbreaking study using AI-driven robotics laboratory identifies Rentosertib, a potent TNIK inhibitor, as a highly effective senomorphic agent capable of reducing aging-related markers. The study reveals TNIK inhibition alleviates key signaling pathways implicated in senescence and fibrosis.
A report by University of Cambridge experts highlights the risks of unregulated AI use on UK's thriving creative sector. The researchers argue that forcing creatives to 'opt out' of AI training could compromise their livelihoods, particularly those just starting out.
Researchers at Carnegie Mellon University found large differences in grammatical, lexical, and stylistic features between text written by humans and AI-generated LLMs. The study highlights the limitations of LLMs in mimicking human writing styles and their potential impact on education.
A new industry report highlights the potential risks of generative artificial intelligence in journalism, including misleadings content and bias, while also identifying opportunities for AI-assisted tasks. News audiences are more comfortable with AI when they use it themselves, but concern about job displacement remains.
Researchers at Mass General Brigham used a generative AI tool to screen patients for a heart failure clinical trial, significantly improving speed and efficiency compared to manual screening. The study found that the AI-assisted screening process screened 458 eligible patients compared to 284 in the manual group.
A new study from the University of South Australia found that most people trust AI in situations where the stakes are low, such as music suggestions. However, those with poor statistical literacy or little familiarity with AI were just as likely to trust algorithms for trivial choices as they were for critical decisions. The study also...
Researchers at Penn State developed a new method to analyze bird songs, revealing context dependence and underlying neurobiology. The study suggests that auditory feedback plays a key role in creating context dependence, and may hold insights into the neural mechanisms of human language.
A study published in PLOS Mental Health found that ChatGPT's responses were generally rated higher than those written by therapists, particularly in terms of core psychotherapy guiding principles. The AI model was also found to contextualize more extensively, leading respondents to rate its responses higher on common therapy components.
A significant gender gap was found in the use of AI for research, with male researchers experiencing a notable increase in productivity after ChatGPT's release. Female researchers spent less time using AI and perceived it as less efficient, exacerbating existing productivity disparities.
A Stanford Medicine study found that AI-powered chatbots can effectively answer nuanced clinical questions and improve physician performance. The research showed that chatbots outperformed doctors in certain scenarios, particularly when combined with human expertise, suggesting a potential future direction for AI-assisted medical decis...
Insilico Medicine has developed a highly selective FGFR2/3 dual inhibitor, which maintains efficacy against resistance mutations and demonstrates a more favorable safety profile compared to existing FGFR inhibitors. The compound showed robust antitumor efficacy in gastric cancer mouse models.
The study compared the performance of seven AI models with that of 400 humans in comprehension tasks, revealing a significant difference in accuracy. Human accuracy reached 89%, while AI models struggled to achieve more than 70% correct answers.
A survey of over 23,000 higher education students worldwide reveals mixed perceptions of ChatGPT's benefits and limitations. While students find it valuable for brainstorming and academic writing, they express concerns about its reliability, impact on critical thinking, and ethical issues.
A new study found that AI assistance increases worker productivity by 15% in customer service sectors, with significant improvements in speed and quality for less-experienced employees. However, its impact is minimal on higher-skilled workers, while adherence to AI recommendations leads to larger gains in productivity.
A study by the University of East Anglia found that generative AI tools like ChatGPT exhibit biases leaning towards left-wing political values. This can distort public discourse and exacerbate societal divides, highlighting the need for transparency and regulatory safeguards to ensure alignment with democratic values.
Researchers use generative AI to predict chromatin structures in single cells, overcoming limitations of existing experimental methods. The technique can generate thousands of structure predictions in minutes, enabling faster study of how 3D genome organization affects gene expression.