Articles tagged with Generative Ai
Insilico Medicine will showcase its core capabilities and latest R&D pipeline at the BIO 2026 International Convention. The company's CEO, Dr. Alex Zhavoronkov, will present four featured speeches on AI-driven drug discovery and quantum technology-enabled research.
A team of neuroscientists highlights the distinction between intelligence and consciousness, warning against confusing AI systems with human-like emotions and experiences. Decades of research support their argument, citing examples like blindsight, which demonstrates intelligent behavior without conscious experience.
Insilico Medicine has completed the first-in-human dosing of its AI-driven NLRP3 inhibitor ISM8969 in a Phase I clinical study. The trial aims to evaluate the safety, tolerability, and efficacy of ISM8969 in healthy participants and those at risk of cardiovascular disease.
A new study suggests that students need to understand three threshold concepts: writing with AI is experimental, requires human expertise, and ultimately augments human agency. By learning to try, test, and tinker with AI tools, students can develop the skills needed to write effectively in an AI-driven world.
Avishek Choudhury, a WVU researcher, has won the NSF CAREER award to study how healthcare providers' trust in artificial intelligence changes over time. His goal is to humanize algorithms behind AI and improve decision-making quality and patient safety.
Researchers create PhishLumos AI system to detect phishing campaigns by analyzing infrastructure clues, achieving 8-day faster detection than experts. The system uncovered over 190,000 new links, with 92% later flagged as malicious, outperforming content-centric approaches.
Insilico Medicine is revolutionizing preclinical drug development through its AI and automation platform, reaching PCC nomination in just 12-18 months. The company has nominated 31 PCCs since 2021, with 13 receiving IND approval or clearance.
Researchers warn that open-source AI could increase environmental pressures, deepen technological inequalities, and spread misinformation. To mitigate these risks, the authors propose four governance actions to ensure AI contributes positively to the Sustainable Development Goals.
The ACM Technology Policy Council's TechBrief examines agentic AI's legal liability, security risks, and workforce impacts. Existing frameworks fall short in addressing accountability questions, highlighting the need for defined authentication and delegation standards, robust audit trails, and sector-specific guidance.
Researchers found that friendly, choice-oriented language in AI chatbots boosts patient engagement, while aggressive phrasing and blurred human-AI boundaries put them off. Patients appreciate personalized interactions, but are wary of data security concerns.
Participants trusted AI more for large-scale scanning tasks like identifying red flags in social media posts, while trusting humans for nuanced fact-checking requiring piecing together evidence. The findings suggest that effective fact-checking tools should provide accurate results and explain how they're reached.
A new study found that AI-powered chatbots can make vaccine-hesitant parents more likely to say they will immunize their children against HPV, but no more than standard written public health materials. Additionally, the effects of the chatbots did not last longer than those of government health materials.
Researchers from UMass Amherst have developed a new AI architecture called ANT that enables continuous learning and reduces energy consumption by orders of magnitude. Unlike human brains, which operate asynchronously, modern deep neural networks rely on synchronized computations, leading to high energy demands.
The global data centers powering artificial intelligence are projected to consume nearly triple the combined annual electricity use of Pakistan, Bangladesh, and Nigeria by 2030. AI's environmental cost is being systematically mismeasured, with its water footprint equaling the basic annual domestic water needs of all 1.3 billion people ...
Jue Wang joins Insilico Medicine as Global Head of Business Development to drive high-value alliances and empower commercial growth. She brings expertise in small-molecule novel drug discovery and has led landmark collaborations worth USD 4 billion.
Binghamton University researchers have developed a new way to reduce troublesome fake information in AI chatbots, with high accuracy in identifying disease terms and drug names. The protocol harnesses multiple large language models to verify answers through 'voting', increasing confidence in the results.
Researchers at IRB Barcelona used AI to design new chemical entities that selectively target specific cell types, demonstrating superior activity compared to conventional screening strategies. The methodology, called phenotypic discovery, uses observable responses in cells rather than a specific molecular target.
The investigation highlights the lack of research on AI toys' impact on early cognitive and socioemotional development, while also raising concerns over security risks and potential harm to minors. Experts advocate for mandatory labeling and regulation to ensure safer deployment of these devices.
A nationally representative survey of US adolescents and young adults found that a fifth used AI chatbots for mental health advice. Proactive discussion with parents and clinicians about chatbot use is necessary to promote safety and linkages to evidence-based care.
A new study shows AI can generate hundreds of convincing finance research papers efficiently, but also raises concerns about the potential impact on academic community and meaning of scientific discovery. The study demonstrates how AI can accelerate research paper production while highlighting areas for improvement in peer-review systems.
A recent study found that AI-powered chatbots can provide accurate information in 76.2% of healthcare-related questions, with specialties like obstetrics and gynecology performing best. However, internal medicine, neurology, and dermatology saw lower accuracy rates, with risks of harm associated with incorrect responses.
A new framework, SUVA, enables organizations to measure and adjust AI chatbots' social preferences, improving their performance in customer complaints and other human-AI interactions. By understanding an LLM's existing tendencies, organizations can decide whether an available model already fits its values and usage scenarios.
The collaboration aims to jointly develop a super-intelligence AI foundation model to predict disease risk, diagnose conditions, and discover novel therapeutics. By integrating advanced algorithms with deep biological insights, the models are expected to drive breakthroughs in early detection and personalized interventions for age-rela...
Zhe Zhu's doctoral dissertation reveals that trusting AI can increase work engagement and build more sustainable careers. GenAI tools can reshape organisational decision-making and employee experiences of work.
A Virginia Tech study found that AI image generators consistently produce more realistic and recognizable images of larger metropolitan areas than smaller towns. The research raises questions about how generative artificial intelligence tools portray places and whose communities are most visible online.
A new Frontiers in Science article explores how AI can accelerate scientific discovery in soil science by creating digital soil twins and trialing climate adaptation strategies. Researchers will discuss the potential of multi-agent AI systems to enable autonomous hypothesis generation, experimental design and data analysis during a fre...
A study of Rwandan young adults reveals modest strengths in some areas of digital financial literacy but significant gaps, particularly in cybersecurity practices and use of financial products. Disparities were found by gender and education level, with men and higher-educated individuals showing more knowledge and skills.
Researchers used top Generative AI models to grade hundreds of undergraduate essays, finding that AI only matched human-awarded degree classification around half the time. The AI systems were overly sensitive to linguistic features, giving out higher marks based on essay length and vocabulary range rather than academic quality.
A new study highlights the potential of AI tools in soil science, enabling researchers to better understand soil ecosystems and adapt to climate change. The system successfully generated hypotheses on how soils store carbon and what controls their storage limits, with outputs aligning with expert research.
A recent study found that one-third of college students use generative AI to complete assignments, with 9% using it to cheat. The use of AI in higher education has sparked concerns about the validity of assessments and the credibility of university credentials. Researchers are urging assessment reform to address these issues.
A new AI system, Empirical Research Assistance (ERA), can automatically write scientific software programs that outperform human-written ones. ERA combines a large language model with search strategies to explore and refine thousands of pieces of code, reducing the time required for exploration from months to hours or days.
A new report from Brookings Institution highlights the federal government's growing use of AI, but also notes significant disparities and bottlenecks to widespread adoption. Large agencies lead the way, while smaller agencies struggle with workforce capacity and trust issues.
A new study from UC San Diego suggests that advanced large language models (LLMs) can exhibit human-like tone, humor, and fallibility in conversations, making it increasingly difficult for humans to distinguish between them and actual humans. This has major implications for how we think of AI, as the Turing test is no longer just about...
Researchers developed ApexGO, an AI-powered method to turn weak antibiotic candidates into more potent ones. The tool uses generative AI and Bayesian optimization to guide molecular tweaks, predicting which changes are likely to increase antimicrobial activity.
Insilico Medicine's Pharma.AI platform combines with Ribo's expertise in oligonucleotide therapeutics, aiming to boost efficiency and certainty of clinical research. The partnership enables end-to-end empowerment of RNA interference and oligonucleotide therapeutics development.
A recent study reveals widespread exposure to harm among US teens using AI chatbots, with entertainment being the most common motivation. The study found that nearly half of teens experienced at least one risk, including exposure to unsafe content and encouraging risky behavior.
The Bioinspired123D system uses a 3-billion-parameter language model to generate reliable 3D design behavior from small models. The system achieves near fourfold performance improvement over larger state-of-the-art language models and demonstrates direct compatibility with standard additive manufacturing workflows.
Researchers developed a novel diagnostic support framework using visual question answering to generate interpretable findings from chest CT images. The system demonstrated strong agreement with reference descriptions and provided clinically meaningful outputs.
The rise of consumer-facing health AI assistants is transforming healthcare access, offering users personalized medical workspaces and real-time lab result interpretation. However, concerns around data privacy and the risk of misdiagnosis highlight the need for caution in this rapidly evolving landscape.
A new study found that girls struggle to master AI due to low confidence and limited institutional support. To overcome this, schools should provide more female role models and create a supportive classroom environment.
Researchers used AI to design new molecules for disinfectants, leveraging a dataset of hundreds of existing quaternary ammonium compounds. The approach yielded 11 promising compounds with activity against antimicrobial-resistant bacteria, offering a potential solution to the growing threat of 'superbugs'.
Researchers discovered that simple artificial intelligence tools can bypass security techniques meant to protect authentic content from use in deepfakes and facial identity theft. The study found that attackers can easily defeat existing image protection using off-the-shelf AI models and simple commands.
A recent study reveals that individuals with higher education or income are more aware of and use AI tools, exacerbating social inequalities. The researchers recommend increasing engagement with AI-related topics through outreach campaigns, educational programs, and community workshops to reduce this new digital divide.
The article warns that AI's rapid integration may stifle scientific creativity and innovation, diverting resources away from solving fundamental problems. Dr. Shim argues for preserving human-centered pathways for knowledge generation to ensure diverse thought necessary for breakthroughs.
The new framework, published in PNAS Nexus, offers guidance for building human-AI teams that are effective, accountable, and aligned with human values. It focuses on reasoning, memory, and attention as core processes that can be distributed across people and AI systems.
New research from West Virginia University finds that judges are adopting generative artificial intelligence in courtrooms, but remain committed to human control over judicial decision-making. Judges use AI for administrative tasks like document summarization and case organization, but prioritize legal reasoning and final judgment.
New research from the University of Kansas found varying approaches to AI use in journalism classes across US institutions. The study suggests that a more consistent approach could better serve education and practice, but inconsistent policies may confuse students. Researchers recommend clearer guidelines from accrediting bodies.
A new study from the University of Oxford finds that training chatbots to sound warmer makes them up to 30% less accurate and 40% more likely to agree with false beliefs. Researchers tested five AI models, finding that warm models made significant factual errors and validated users' incorrect opinions.
Researchers at the University of Houston have developed an AI-driven framework to extract and analyze historical flood insurance maps, uncovering significant changes in flood hazard areas. The study reveals that flood risks have expanded in two areas and reduced in one, with critical consequences for resilience and exposure.
The INS001-055 inhalation solution is the world's first AI-driven candidate to receive IND clearance. It targets Idiopathic Pulmonary Fibrosis (IPF) with a novel molecule structure and demonstrates good tolerability, PK profiles, and dose-dependent efficacy trend.
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.
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.
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.
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.
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.
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.
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.
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.