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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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...
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.
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.
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.
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%.
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.
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.
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 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.
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...
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 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.
A large-scale study analyzing over three million job postings finds that Generative AI tools like ChatGPT are accelerating the transformation of the job market. While demand for partly substitutable skills reduces, new jobs are created in areas such as chatbot development and machine learning.
Primary care clinicians spend over half their workdays on EHR tasks, and AI can target areas like documentation, chart reviews, and medication management. Implementing thoughtful AI solutions prioritizes clinician well-being and patient care.
A cognitive science professor at UC Merced proposes a suite of video games to accelerate cancer research using artificial intelligence and gamified citizen science. The 'Cancer Wars' initiative aims to harness the collective problem-solving power of millions of gamers to tackle complex scientific problems.
A new study found that AI-generated empathetic responses were preferred over those from humans and expert crisis responders. The researchers suggest that AI can supplement human empathy, but should not replace it entirely due to potential biases and ethical concerns.
West Virginia University researchers Erin Brock Carlson and Scott Davidson have designed an interdisciplinary program to engage liberal arts faculty in discussions on the social, ethical and technical aspects of artificial intelligence. The program aims to support the creation or redesign of 10 courses incorporating AI, exploring its i...
Insilico Medicine has successfully dosed the first patient in its global Phase I clinical trial of ISM6331, a potent pan-TEAD inhibitor. The treatment demonstrates superior efficacy and safety in preclinical studies, with potential synergistic anti-tumor effects and overcoming drug resistance.
A new study assesses the historical knowledge of AI chatbots like ChatGPT-4 and finds they struggle with nuanced, PhD-level inquiry. The models performed best on legal systems and social complexity but struggled with topics such as discrimination and social mobility.
Anil Jain and Michael I. Jordan received the BBVA Foundation Award in Information and Communication Technologies for their pioneering work on machine learning, enabling transformative technologies like biometrics and artificial intelligence. Their research has unlocked applications of far-reaching impact on society.
The open-access book delves into the impact of AI and autonomous systems on human lives and ways of working, emphasizing their importance in prioritizing human well-being and creativity. Key learnings include the need for ethical design practices and considering AI as part of a larger system to enhance human experiences.
Insilico Medicine's AI-driven platform, PandaOmics, identifies two new therapeutic targets and a repurposed FDA-approved drug for treating endometriosis. The study reveals guanylate-binding protein 2 (GBP2) and hematopoietic cell kinase (HCK) as key proteins involved in the disease mechanism.
Mayo Clinic is developing foundation models with Microsoft Research and Cerebras Systems to personalize patient care, accelerating diagnostic time and improving accuracy. These multimodal models integrate radiology images and genomic sequencing data to transform clinical diagnosis and treatment.