Articles tagged with Generative Ai
Researchers identified three main patterns of AI addiction: role-playing and fantasy worlds, emotional attachment to chatbots as close friends or partners, and constant information-seeking. These patterns led to disruptions in daily life, including anxiety, stress, and negative impacts on work, studies, and relationships.
Insilico Medicine nominates UAE's first developmental preclinical candidate using generative AI, marking a significant step forward for pharmaceutical innovation. The milestone showcases the country's growing biotechnological capabilities and its rise as a global hub.
Researchers have developed SmartDJ, an AI-powered editor that allows users to reshape audio experiences with simple words. The system uses language models and diffusion models to interpret high-level requests and generate edited outputs.
Computer scientist Micheal Lones warns that using generative AI in machine learning increases the risk of malicious cyberattacks, data leaks, and bias against underrepresented groups. He advises developers to manually evaluate LLM-generated code and outputs to mitigate these risks.
A recent study by AI researcher Oskar van der Wal found that language models like ChatGPT can absorb biases around gender and ethnicity, which are then embedded in the model. To detect and remove these biases, new measurements are needed.
The Insilico Medicine Longevity Board aims to accelerate the development of therapeutics targeting the biological processes of aging. The board, led by Andrew Adams, will oversee AI-enabled aging research and drug discovery.
DraftMarks makes the writing process visible by layering visual cues to indicate AI involvement. The tool helps writers confront their collaboration with AI and make intentional judgment calls.
Insilico's unified AI framework combines disease-specific predictive modeling with rigorous benchmarking to improve target identification accuracy and reliability. The validated system generates actionable intelligence, prioritizing targets with strong potential for successful development.
Artificial intelligence models provide personalized advice, but may perpetuate negative stereotypes about people with autism. Researchers found that up to 70% of the time, AI discourages those with autism from socializing.
Indiana University has expanded its free generative AI course, GenAI 101, to over 805,000 alumni worldwide. The course provides practical skills in prompt engineering, data storytelling, and ethical AI use, preparing learners for an AI-powered world.
A new coaching tool helps users identify biases in their prompts and generate more inclusive content. The study found that the intervention increased users' awareness of algorithmic bias and boosted confidence, but led to a less satisfactory user experience.
According to new research, over 66 million Americans use AI tools or chatbots for physical or mental healthcare information or advice. Most turn to AI to supplement their healthcare experiences, using it before or after seeing a doctor. AI usage is driven by various factors, including wanting answers quickly, additional information, an...
A recent study found that 5 popular chatbots provided inaccurate and incomplete medical information, with half of the answers being 'somewhat' or 'highly' problematic. The researchers urge for public education and oversight to avoid amplifying misinformation.
Researchers from Juntendo University found that AI-based assessment of medical interview transcripts is comparable to clinicians' scores while reducing evaluation time. The study demonstrated strong agreement between AI and human evaluations, with AI showing greater consistency across repeated assessments. This suggests a potential 'AI...
A Drexel University study found that teens are concerned about their attachment to AI chatbots, using them for emotional support and entertainment. The study suggests that these interactions can evolve into addiction-like behavior, affecting their lives offline.
New research from Duke University finds that commercial large language models (LLMs) are less creative and generate more similar responses than humans. The study challenges these models with three standard tests assessing creativity and finds that their outputs are more alike, highlighting the need for human diversity in brainstorming
A study of 21 large language models found that they excel at accurate final diagnoses but falter at differential diagnoses, highlighting the need for human oversight in healthcare. The researchers developed a novel measure, PrIME-LLM, to evaluate AI's clinical competency across different stages of reasoning.
A new study analyzed thousands of textual descriptions of two-person social interactions using generative AI, resulting in a comprehensive taxonomy of categories. The findings provide a data-driven framework for understanding the structure of social situations, including associations with conflict, power, and duty.
Researchers identified patient-reported symptoms associated with GLP-1s, including menstrual changes, fatigue, and temperature-related complaints, that may not be fully captured in clinical trials or drug labeling. Nearly 4% of Reddit users reported reproductive symptoms, and fatigue was the second most common complaint.
The event showcases the Pharma.AI ecosystem's new capabilities, including the MMAI Gym for Science, updates to PandaOmics, Generative Biologics, and Chemistry42. Researchers can learn how to access these tools and best practices for tackling challenging problems in human health.
Researchers at Insilico Medicine have developed novel small molecular inhibitors and extremely selective PROTACs targeting the serine/threonine kinase PKMYT1. The discovery utilizes noncovalent interactions to achieve selectivity, masking hydrogen-bond donors that negatively affect permeability and solubility.
ISM6200 is a potent, potentially best-in-class preclinical candidate targeting NR3C1 for the treatment of ovarian cancer, Hypercortisolism (Cushing’s Syndrome), and other disorders related to excess cortisol. The molecule demonstrates low DDI risks and higher in vivo efficacy across multiple animal models.
The Alliance for Clinical Trials in Oncology is enrolling adolescent and young adult cancer patients in various trials, including genetic services and treatment studies. These trials aim to address longstanding gaps in care and improve outcomes for AYAs with cancer.
NTU Singapore aims to integrate AI into 40% of its undergraduate courses by 2030. Half will use personalized learning, while the other half will teach students how to build and deploy AI agents. Students will have access to Google's premium AI tools and computing credits to create their own agents.
The Association for Computing Machinery has published its inaugural issue of ACM AI Letters, a premier venue for rapid and timely AI research. The journal aims to bridge the gap between traditional conferences and journals, featuring short, peer-reviewed contributions that accelerate knowledge dissemination across academia and industry.
A new AI chatbot helps patients access retinal detachment advice through personalized, real-time, clinically grounded conversations. The system outperformed leading large language models and includes accessibility features for people with low vision or limited English proficiency.
Insilico Medicine will present four novel cancer inhibitors discovered via its Pharma.AI platform, targeting KRAS and Cbl-b pathways. ISM6166 and ISM3830 demonstrate robust anti-tumor activity against solid tumors with KRAS alterations and restored innate and adaptive immunity, respectively.
A multi-site study found that AI scribes reduced electronic health record usage by 3% and clinical documentation time by 10%, with primary care physicians experiencing the greatest reductions. The technology also showed a slight increase in productivity, measured as 0.5 additional patient visits per week.
Research from Aalto University reveals that long-term use of AI companions can provide temporary comfort, but may negatively impact users' wellbeing and ability to navigate human relationships. The study found increased signs of distress in online language after using an AI companion for two years.
Insilico Medicine and Eli Lilly partner to accelerate discovery of novel therapeutics using AI engine, focusing on preclinical development for certain indications. The collaboration aims to deliver transformative therapies for diseases with high unmet need.
Researchers Jing Chen and Simon Fischer-Baum at Rice University have made significant contributions to psychological science, focusing on human-AI interaction and literacy. Their work explores trust in automation, human performance limitations, and how people interpret risk, aiming to improve safety and efficiency across industries.
The International Telecommunication Union (ITU) will host the seventh AI for Good Global Summit from 7 to 10 July 2026 at Geneva’s Palexpo convention centre. The summit aims to guide the future of artificial intelligence and unlock its potential to serve humanity.
The companies are leveraging generative AI to develop innovative candidates for challenging neurological diseases, aiming to provide a broader range of therapeutic options. Insilico's Pharma.AI platform and Tenacia's expertise will continue to generate innovative solutions with strong translational potential.
Researchers discovered that key weight parameters contribute to both performance and data-privacy vulnerabilities in AI neural networks. They developed a technique to balance these aspects, achieving better results than existing methods in defending against membership inference attacks.
The collaboration aims to identify therapeutic targets for challenging gynecological conditions using Insilico's AI-driven target identification engine, PandaOmics. ASKA will validate the AI-predicted targets with high translational potential, accelerating the development of innovative solutions for millions of patients worldwide.
Researchers introduce the capabilities approach-contextual integrity (CA-CI) framework to address privacy and dignity risks in AI systems. The framework evaluates normative appropriateness of AI systems beyond narrow tasks and stable contexts, securing social life and human dignity.
A new generative AI framework predicts future urban layouts considering multiple factors. The Memory-aware Multi-Conditional generation Network (MMCN) offers a novel approach to modeling complex urban evolution, providing a powerful tool for sustainable urban development.
Researchers at North Carolina State University have identified key components in large language models that ensure safe responses to user queries. They've developed a new technique to improve LLM safety while minimizing the alignment tax, which allows AI systems to provide safe responses without affecting performance.
A specialized AI model, AMIR-GPT, has been developed to improve radiology guideline alignment, outperforming general purpose models in 33.3% of test responses. However, the model's performance varied across performance bands, and qualitative review revealed limitations, such as omissions and deviations from standard recommendations.
The study provides a systematic overview of AI-generated image detection, categorizing existing methods across multiple dimensions and evaluating their performance in a unified framework. Key challenges include constructing large-scale unbiased datasets, improving robustness, and increasing interpretability of detection outcomes.
A new study found that AI-generated meal plans for teenagers often underestimate total energy and key nutrient intake, leading to potential health risks. The plans tend to overemphasize protein and fat, while underestimating carbohydrates, which may negatively affect growth and metabolic health.
A report calls for stricter regulation of AI toys to ensure 'psychological safety' in young children. The study found that AI toys often misread emotions, struggle with developmentally important play types, and pose concerns for social and pretend play.
New research published in Weather assesses the energy consumption of AI models and finds that they consume considerable energy during training, but offset this by rapid forecasting ability. AI data-driven models are estimated to consume at least 21 times less energy than traditional models over one-year usage.
Researchers at Cornell University found that AI writing tools can shift users' attitudes on societal issues, even when they're aware of the bias. The study involved over 2,500 participants who used biased AI writing assistants and saw their views gravitate toward the AI's positions.
Researchers developed Zephyrus, an AI agent capable of analyzing and answering questions in natural language about weather and climate data. The agent can handle language-based queries, translating them into code and generating plain language answers.
A new study suggests that over 40% of UK adults are happy to use ChatGPT for mental health support due to long waiting times for traditional services. However, experts caution that AI should not replace human healthcare professionals and raise concerns about the potential impact on education and physical health.
A new study explores the market effects of unleashing generative AI on creative endeavors, finding that low-quality 'AI slop' harms consumers and professionals. High-quality AI, however, can enhance professional work while providing consumers with better content options.
Children's Hospital of Philadelphia researchers highlight the need for parents and pediatricians to understand generative AI's potential benefits and risks for children of different ages. Early childhood (0-5 years) requires close supervision, while middle childhood (6-11 years) and adolescence (12+ years) require critical thinking ski...
A recent study found that AI programs are up to 97% accurate at detecting pictures of deepfake faces, but performed at chance levels when it comes to detecting deepfake videos. Humans correctly identified real and fake videos about two-thirds of the time, picking up on subtle inconsistencies in movement and facial expressions. The stud...
ISM4808, a PHD inhibitor for chronic kidney disease-related anemia, has achieved its first milestone with successful completion of the Phase I clinical trial. The treatment stimulates endogenous erythropoietin production and improves iron utilization, offering improved efficiency and safety compared to existing treatments.
Researchers developed a digital safeguard, My Music My Choice, to protect songs from generative AI cloning. The tool adds imperceptible changes to a song's waveform, making it difficult for AI models to replicate.
Researchers argue that AI's limitations and alignment with human values are key to preventing potential threats. They suggest sector-specific policies rather than universal regulations.
A global consortium created an exam with 2,500 questions spanning multiple subjects to assess AI capabilities. Current AI models consistently fail the exam, highlighting gaps in their understanding. The project aims to provide a long-term benchmark for evaluating advanced AI systems and demonstrate the importance of human expertise
A recent study has found that ChatGPT Health may fail to direct users appropriately to emergency care in serious cases, and its suicide-crisis safeguards are also concerning. The tool under-triaged more than half of cases that physicians determined required emergency care, highlighting the need for caution when relying on AI guidance.
Researchers have developed a definitive guide to safely navigating health information on AI-powered chatbots, addressing the risk of 'hallucinated' or factually incorrect advice. The Health Chatbot Users’ Guide focuses on harm reduction and maximises benefits to users, offering a pragmatic and neutral approach.
Epic Games has acquired Meshcapade, a Max Planck startup that develops solutions for creating and animating digital humans. The technology, based on the SMPL body model, enables realistic human movement and expression in 3D.
A new method to steer AI output uncovers vulnerabilities and potential improvements. The researchers identified 512 concepts within five classes and improved LLM performance on narrow tasks.
A new study by the University of Cambridge found that many AI bots lack basic safety disclosures, including transparency about their abilities and potential risks. The 'AI Agent Index' revealed a significant transparency gap, with only four out of thirty agents publishing formal safety and evaluation documents.
Researchers argue that mandated reminders about a chatbot's non-human nature may exacerbate mental distress and form stronger attachments. The warnings come after recent deaths by suicide linked to chatbots like ChatGPT and Character.AI, highlighting the need for careful crafting and timing of these reminders.
Researchers found that personalization features in LLMs can increase the likelihood of sycophancy, a phenomenon where models mirror users' viewpoints. The study suggests that context and user profiles play a significant role in shaping this behavior.