Articles tagged with Generative Ai
Research from UNSW Sydney and ANU found that people with average face-recognition ability performed only slightly better than chance in spotting AI-generated faces. Even super-recognisers, who excel at recognizing real human faces, were not immune to being fooled by highly realistic AI-generated images.
A recent study by HSE University found that the global generative artificial intelligence market is developing at a faster rate than its ability to generate real revenue. The analysis, published in Foresight and STI Governance journal, reveals a nonlinear trend where efficiency increased from 2016 to 2021 but declined thereafter.
Researchers at UCSF and Wayne State University found that generative AI tools can perform orders of magnitude faster than human teams in analyzing health data. Junior researchers paired with AI generated viable prediction models in minutes, outperforming experienced programmers in hours or days.
Generative AI can play seven distinct roles in combating misinformation, including informer, guardian, persuader, and collaborator. However, its use also poses risks such as hallucinations and deliberate manipulation. To effectively combat misinformation, clear policies on the permissible use of AI are needed.
China's youth faces a growing mental health crisis, but AI platforms like DeepSeek offer promising solutions to bridge the gap. These platforms leverage natural language processing and generative AI to provide round-the-clock support tailored to Chinese society.
A recent study by Lucy Osler from the University of Exeter highlights how human-AI interactions can lead to inaccurate beliefs, distorted memories, and delusional thinking. Generative AI systems can create an ideal environment for delusions to flourish due to their conversational nature.
Insilico Medicine and CMS announce multiple collaborations on AI-empowered drug discovery in central nervous system and autoimmune diseases. The partnerships aim to accelerate research, development, and translation of high-potential innovative therapies, leveraging complementary strengths across the entire value chain.
Researchers found that chatbot-generated summaries changed sentiments in 26.5% of cases and hallucinated answers 60% of the time. Participants who read biased summaries were 84% likely to buy, compared to 52% for original reviews.
Researchers developed an AI-based method to create binaural audio from monaural recordings, using visual information from the video to guide spatialization. The system accurately preserves a sense of direction and space, even in complex environments.
Researchers created a model using centuries of scientific theory and scholarly research to test the accuracy of chatbots in generating images and narratives about Neanderthals. The study found that accuracy rests on AI's ability to access source information, with many generated content referencing outdated research.
Insilico Medicine nominates ISM5059, a peripheral-restricted NLRP3 inhibitor, as a preclinical candidate for treating various inflammatory diseases. The compound has demonstrated high potency, selectivity, and excellent in vivo efficacy across animal disease models.
Insilico Medicine received a USD 5 million milestone payment from Menarini Group after completing first-in-human dosing in a Phase 1 study of MEN2501, a small molecule inhibitor targeting cancers with chromosome instability. This achievement follows the completion of a successful Phase 1 clinical trial.
A recent study revealed the critical connection between mindfulness and the adoption of generative artificial intelligence (GenAI) in project management. Project managers with higher mindfulness levels tend to be more open, attentive, and creative in crafting their immediate work environment, encouraging them to explore how GenAI can o...
Researchers at MIT developed a generative AI model called DiffSyn that suggests promising synthesis routes for complex materials like zeolites. By using this model, scientists can test millions of theoretical materials in under a minute, accelerating the materials discovery process.
Researchers at Queen Mary University of London have developed an AI system called Auto MV that can generate complete music videos directly from full-length songs. The system uses a multi-agent approach to analyze the musical structure and lyrics, plan scenes, and generate images and video clips.
A cross-sectional study found that up to half of adolescents in the US were using generative AI apps, while a small subset engaged in heavy use. The study highlights the need for future research on individual differences in GenAI use and its impacts on adolescent development.
The University of Ottawa has launched the Ottawa Medical Artificial Intelligence Research Institute (OMARI), a center for research, education, and innovation in medical Artificial Intelligence. Led by Dr. Khaled El Emam, OMARI aims to facilitate cross-cutting collaborations and sharpen the university's competitive edge in AI-driven hea...
Researchers warn that AI-controlled personas, mimicking humans, can tilt elections through coordinated narratives and persuasive messages. The next election may be the proving ground for this technology, threatening democratic discourse.
Researchers at HSE Institute for Cognitive Neuroscience found that people tend to trust the current opinion of an authoritative speaker even when new statements contradict their previous position. The study used AI-generated audio recordings of celebrities with opposing views on COVID-19 vaccination and found that participants rated th...
ISM0676 demonstrates excellent metabolic stability, superior efficacy at low doses, and a favorable safety profile, leading to significant body weight reduction and improved body composition. The compound's synergistic efficacy with Semaglutide supports its further clinical development as an obesity treatment.
Researchers have developed a passive, solar-powered orbital data center that can scale AI computing and reduce environmental impact. The system leverages decades of research on 'tethers' and could host thousands of computing nodes to replicate terrestrial data centers.
The collaboration aims to accelerate the development of small molecule inhibitors for treating metabolic diseases. Insilico will utilize its Pharma.AI platform to design and optimize novel molecules, while Qilu will handle subsequent development and commercialization.
Researchers have identified a new vulnerability in AI-powered robots, where malicious text on signs or objects can hijack their decision-making. The study, led by UC Santa Cruz professors Alvaro Cardenas and Cihang Xie, presents the first academic exploration of environmental indirect prompt injection attacks against embodied AI systems.
Primary care clinicians are testing AI-assisted patient messaging to reduce burnout, with mixed results. The study found that careful prompt design is crucial for effective AI-generated responses, varying by specialty, message type, and patient population.
Researchers adapted an AI model to predict neurological recovery after cardiac arrest in a resource-limited setting, achieving 80% accuracy. AI holds promise across various healthcare applications in low-and middle-income countries, including improved diagnostics and clinical decision-making.
The Institute of Science and Technology Austria (ISTA) has received a significant donation to advance trustworthy AI technology. The €5 million gift from Garrett Camp will support fundamental research in artificial intelligence, focusing on interdisciplinary collaboration and long-term impact.
Insilico Medicine has received investigational new drug (IND) clearance from the US FDA for ISM8969, an orally available NLRP3 inhibitor targeting inflammation and neurodegenerative disorders. The Phase I clinical trial plans to evaluate the safety, tolerability, and pharmacokinetics of ISM8969 in healthy volunteers.
A new study reveals that around one-third of all newly written software functions in the United States are already being created with AI support, with productivity gains mainly driven by experienced developers. The study found wide regional gaps, with the US leading at 29% AI-assisted code, while China and Russia lag behind.
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major depressive disorder after analyzing short WhatsApp audio recordings. The LLMs showed greater accuracy when classifying women compared to men, particularly when given the 'describe your week' data.
A large-scale study reveals that generative AI models have reached the threshold of average human creativity, but the most creative individuals still outperform even the best AI systems. The study also highlights the importance of human guidance and parameterization in modulating AI creativity.
The article highlights Insilico Medicine's exclusive contributions to two chapters in the latest AI for Drug Discovery Volume, showcasing its expertise in real-life application of AI in early drug target-related tasks. The company's roadmap to 2030 using Quantum Machine Learning (QML) algorithms is also presented, with successful case ...
A team of researchers used Dungeons & Dragons as a testing ground for Large Language Models, evaluating their performance in long-term tasks. The models showed quirky behaviors but excelled in staying 'in character' and determining correct actions, with Claude 3.5 Haiku performing the best.
The companies will jointly develop ISM8969, a brain penetrant NLRP3 inhibitor for treating neuroinflammation-related diseases. Preclinical data shows the molecule's efficacy and favorable safety profile.
A new study reveals AI is being used to recreate deceased people's voices, faces, and personalities without consent, raising questions about ownership, exploitation, and power. The study identifies three dominant ways AI brings back the dead, including spectral labor, where digital remains are extracted and monetized.
Researchers develop a framework that mirrors human expert assessment to verify AI-generated answers, filtering out clear mistakes and identifying nuanced gaps. The system saves thousands of working hours and highlights the importance of contextual knowledge and internal documentation.
Insilico Medicine's Phase IIa clinical trial assesses Garutadustat's safety and efficacy in ulcerative colitis. The novel PHD inhibitor has shown favorable safety and tolerability profiles in completed Phase I studies.
DORA Community Edition aims to democratize access to state-of-the-art research tools, foster global collaboration, and accelerate innovation in biotechnology. The open-source version is designed to streamline the drafting of academic papers and other research-related documents with a team of agile AI agents.
Researchers found that postgraduate students selectively engage with GenAI tools when revising critical reading reports, focusing on key analytical dimensions. This strategic engagement is driven by academic goals, supervisor demands, and career aspirations.
Generative AI is increasingly used in classrooms, raising concerns about its impact on student learning. Researcher Gerd Kortemeyer explores the benefits and drawbacks of AI in physics education, suggesting that it can be a helpful tool when integrated into teaching methods that focus on critical thinking and collaboration.
Boston College researchers have developed an AI-assisted method to remove 'noise' from functional MRI brain data, a major obstacle for fMRI research. The new method, known as DeepCor, outperforms previous approaches and could pave the way for new discoveries about the brain and its disorders.
Insilico Medicine collaborates with Servier to develop novel therapeutics in oncology through AI-driven platform Pharma.AI. The partnership is focused on identifying promising targets and generating molecular structures with desired properties.
Insilico Medicine raised a total of HKD 2.277 billion in its largest Hong Kong biotech IPO, with 94,690,500 shares offered globally and oversubscribed by approximately 1427 times. The company aims to advance its mission of extending human productive longevity using AI-powered drug discovery and development.
As chatbots become more sophisticated, they are likely to generate and spread gossip, leading to reputational damage, shame, and social unrest. Drs. Joel Krueger and Lucy Osler warn that this 'feral' AI gossip can be particularly damaging due to its ability to operate unconstrained by human norms.
The new program focuses on advancing foundational research in AI, including innovation in language models and algorithmic efficiency. Google will support research grants, scholarships for students, and educational initiatives at the TAU Center.
Insilico Medicine showcases its Pharma.AI platform's capabilities in generating biologics and analyzing data to accelerate drug discovery. The company's latest updates include improved Generative Biologics, Chemistry42/Nach01, and PandaOmics features.
Researchers found that AIs consistently converged on 12 common themes despite diverse prompts, suggesting biases in training data. The models failed to generate novel or creative outputs, highlighting the need for anti-convergence mechanisms and human input for AI's creative potential.
Medical students used ChatGPT to analyze survey responses and identify common themes, finding method three yielded the highest accuracy. The study showcases the potential for AI to assist with qualitative research in medical education.
A new AI framework uncovers simple, understandable rules governing complex dynamics in nature and technology. The AI generates equations that accurately describe complex systems, revealing hidden variables that govern their behavior. This approach offers scientists a new way to leverage AI for understanding complex systems.
A new diagnostic method using AI and genetic information can accurately identify pneumonia in critically ill patients, distinguishing between infectious and non-infectious causes. The model has been shown to reduce inappropriate antibiotic use by over 80% and could lead to faster diagnosis and improved patient outcomes.
A new study warns that AI is racing ahead of safety checks in GP clinics, putting patients at risk. The research found that many GPs use AI tools without thorough evaluation or regulatory oversight, carrying risks like automation bias and loss of important social details.
Researchers propose integrating processing capability within memory units to reduce energy consumption and latency in AI applications. Inspired by the brain's efficient processing mechanisms, spiking neural networks (SNNs) can respond to irregular events and store information in the same place.
Researchers propose a novel approach to AI hardware design by integrating neuromorphic systems and compute-in-memory techniques to overcome the limitations of modern computing hardware. This could lead to more efficient data center energy use and enable real-time intelligence in compact, power-constrained systems.
Mass General Brigham's new AI company, AIwithCare, has developed a software platform that leverages generative AI to screen patients for clinical trial eligibility. The tool, RECTIFIER, was found to accurately identify eligible patients and enroll them in clinical trials at a lower cost than traditional methods.
A third of teenagers use AI companions for social interaction, with some reporting more satisfying conversations than humans. Experts caution against problematic chatbot use as a new environmental risk factor, particularly among vulnerable populations.
Insilico Medicine and Taigen Biotechnology collaborate to develop and commercialize ISM4808, an AI-driven PHD inhibitor for treating anemia of Chronic Kidney Disease (CKD). The partnership grants TaiGen exclusive rights for further development, commercialization, and sub-licensing in the Greater China area.
Insilico Medicine's Chemistry42 platform enables the efficient discovery of a potent, oral CBLB inhibitor with low toxicity risks and favorable ADME/PK profiles. The compound demonstrates strong in vitro activity and improved metabolic stability in mouse, rat, and dog models.
The company's AI tool, RECTIFIER, uses generative AI to screen patients for clinical trial eligibility, significantly outperforming manual screening in accuracy and efficiency. The tool has been shown to more accurately identify eligible patients and reduce the burden of manual chart review in various healthcare settings.
The University of Texas at Dallas has partnered with Tech Mahindra to facilitate collaboration on artificial intelligence (AI) innovation, skill development, and research. The partnership will provide opportunities for students and faculty to advance AI technologies, data science, and cybersecurity.
A University of Warwick-led analysis of 4,820 student reports found that student writing has become more sophisticated, formal, and positive since the introduction of ChatGPT in 2022. However, grades have remained stable despite stylistic shifts, suggesting core academic skills remain essential.
A breakthrough AI system called OmniPredict can predict human pedestrian behaviors with unprecedented accuracy, revolutionizing self-driving cars and urban mobility. The model combines visual cues with contextual information to anticipate pedestrians' next moves, reducing the risk of accidents and improving traffic safety.