Articles tagged with Generative Ai
Researchers discovered AI art protection tools have critical weaknesses that cannot reliably stop AI models from training on artists' work. LightShed, a new method, can detect and remove distortions, stripping away protections and rendering images usable again for generative AI model training.
Computer scientist Zeynep Akata has developed innovative methods to combine visual, linguistic, and conceptual elements in AI to increase user trust. Her research on explainable AI aims to make image classification decisions more transparent.
The collaboration aims to bridge academia and industry through joint research projects, academic exchange, and hands-on training for students and faculty. The partnership also opens career opportunities for UAEU graduates at Insilico, fostering local talent and supporting the expansion of the UAE's biotechnology sector.
City of Hope has launched a novel generative AI platform called HopeLLM, which leverages multiple commercial and open-source AI models. The platform enables doctors to spend more time interacting with patients, reducing the administrative burden of new patient onboarding and providing personalized treatment options.
Researchers at KAIST have developed a technology to enhance creative generation of AI generative models like Stable Diffusion, generating novel and useful images. The algorithm amplifies internal feature maps to boost creativity without new training, outperforming existing methods in novelty and utility.
Cassie, a digital-human assistant developed by Texas A&M University, is transforming the way patients interact with healthcare providers. With facial recognition and emotional intelligence, Cassie offers a two-way interaction that feels like a conversation.
The study analyzed 50 countries' national AI strategies, finding that only 13 gave high priority to training the current workforce and improving AI education. Common themes included establishing AI-focused programs in universities and on-the-job training, with a focus on human soft skills such as creativity and collaboration.
Global education leaders call for collaboration, ethics, and human-centered teaching as they confront the benefits and challenges of AI in education. The discussion emphasized the need for responsible use policies, equitable access to AI tools, and preserving uniquely human qualities in education.
Researchers used nonsense words to test ChatGPT's language processing capabilities, finding it excelled at discovering relationships and providing definitions for extinct words. However, the AI also generated incorrect or made-up answers in some cases, highlighting its limitations.
Insilico Medicine has completed the first-in-patient dosing of ISM3412, a novel MAT2A inhibitor with potential as a best-in-class treatment for locally advanced and metastatic solid tumors. The Phase 1 study aims to evaluate safety, tolerability, and preliminary anti-tumor efficacy of ISM3412.
Researchers at UTA are developing an AI-powered system to promote healthy behaviors in cancer survivors, which can significantly improve quality of life and reduce risk of death.
Nach01, a large language model-based foundation model, leverages structural and spatial data for diverse chemical tasks. The model is now available on AWS Marketplace, streamlining access for researchers and pharma companies to build and apply large-scale generative models.
The virtual teaching assistant (VTA) provides personalized feedback to individual students even in large-scale classes. The system, which automatically vectorizes a large volume of course materials and uses them as the basis for answering students' questions, has been shown to significantly reduce the burden on TAs.
Researchers developed a new computational tool using generative AI to identify key gene combinations underlying complex illnesses. The method amplifies limited gene expression data, enabling researchers to resolve patterns of gene activity that cause complex traits.
Professor Shalom Lappin argues that tech companies' dominance in AI development poses a threat to public benefit and environment. He calls for comprehensive international regulation, intellectual property reform, and preparation for workforce disruption to address these challenges.
The ELSI University Summit in Japan brought together experts to discuss challenges and prospects of responsible AI development. Key findings include the need for ethics-driven approaches, collaboration between academia and industry, and the importance of setting evaluation indicators for Responsible AI.
A new study explores how generative AI models with different dimensional outputs support combinational creativity. Expert designers applied each AI type to six combinational tasks, revealing distinct divisions of labor: LLMs excel in early idea generation, while image and 3D models shine in visualization and prototyping.
A field experiment by Tulane University researchers found that generative AI tools enhance employees' creativity when used by those who can manage their own thinking. Employees using ChatGPT performed better in generating novel and useful ideas.
The new minor will equip students with cutting-edge AI and machine learning skills essential for modern business leadership. It combines hands-on experience with practical applications of artificial intelligence in business settings.
Ashish Sharma's dissertation developed fundamental advances in natural language processing to positively impact mental health. His AI-supported tools have been used by over 160,000 people, with more than fifty percent of users reporting a household income of less than $40,000 per year.
A University of Maine study evaluated over 7,000 anonymized medical queries and found that AI models performed well on factual and procedural queries but struggled with 'why' and 'how' questions. Human clinicians consistently outperformed AI in terms of emotional engagement and empathetic nuance.
A pioneering study by UPF reveals that ChatGPT helps Chinese students solve vocabulary, writing, and reading comprehension queries. However, its use often lacks a coherent learning process and fails to encourage critical thinking, highlighting the need for teachers to guide students in using AI tools effectively.
The Phase IIa trial of Rentosertib showed encouraging clinical data, with patients receiving the treatment experiencing significant improvements in lung function compared to placebo. The study also validated the biological mechanism of TNIK inhibition using exploratory biomarkers analyses.
A research team has designed a chatbot system to simulate group therapy for managing premenstrual syndrome (PMS), a common disorder among women. The system provides simultaneous support for understanding, coping, and connections with peers, improving engagement and language convergence with participants.
Assistant professor of electrical and computer engineering Natasa Miskov-Zivanov is receiving a $581,503 NSF CAREER Award for her project that leverages AI to design more effective lymphocytes for cancer immunotherapies. The system aims to accelerate the process of designing new therapeutic cell designs.
A new study compares traditional diagnostic decision support systems (DDSSs) to generative AI and finds that DDSSs perform somewhat better. The researchers envision pairing these two approaches to improve diagnostic capabilities and patient outcomes.
Diagnostics.AI has launched the industry's first fully-transparent machine learning platform for clinical real-time PCR diagnostics, delivering algorithmic transparency and per-test auditability. The platform is CE-IVDR certified and backed by over 15 years of experience and millions of successfully processed samples.
Experts Cary Coglianese and Colton Crum argue that management-based regulation, or using
Researchers found GPT-4o exhibits humanlike cognitive dissonance by changing its views on Vladimir Putin after being given the illusion of choosing essay topics. The AI's responses mirror human psychology's tendency to rationalize past behaviors, highlighting the fragility of its opinions.
Derek Leben's book 'AI Fairness' offers a philosophical framework to evaluate and mitigate biases in AI algorithms. The author argues that principles like autonomy, equal treatment, and equal impact should guide the design of fair AI systems.
A team of researchers developed a machine learning model called Aurora that accurately forecasts various Earth systems, including air quality and tropical cyclone tracks. The model outperforms traditional systems at a fraction of the cost, enabling better preparedness for extreme weather events.
Researchers found that artificial intelligence tools can accurately predict disease for patients with typical symptoms but struggle with those exhibiting atypical symptoms. Human oversight is necessary for high-quality patient-centered care when using AI as an assistive tool.
The application of AI in public health informatics offers potential to revolutionize data collection, disease surveillance, decision-making, and interventions. However, its implementation faces technical, ethical, and operational challenges related to health equity, privacy, security, and bias.
A team of San Diego researchers is developing an innovative AI tutor system to provide personalized support to students. The system, based on large language models, will be deployed in eight foundational courses at higher education institutions in San Diego County and assessed for its impact on learning.
Researchers discovered similarities between AI and human brains with aphasia, offering new insights into diagnosis and improving AI's fluency. The study suggests that understanding internal patterns in AI models may lead to smarter and more trustworthy AI.
Developers of educational tools focus on technical challenges, while educators are concerned with broader impacts, such as inhibiting critical thinking skills and exacerbating systemic inequality. Researchers recommend designer-centered approach to facilitate development of educator-centered edtech.
Leading LLMs like ChatGPT and DeepSeek consistently produce broader conclusions than original texts, with six models systematically exaggerating claims. Researchers recommend using LLMs with lower 'temperature' and enforcing indirect reporting to improve accuracy.
A study found that large language models generalize language patterns in a surprisingly human-like way through analogy, relying on stored examples and drawing analogies when dealing with unfamiliar words. The models behave as if they have formed a memory trace from every individual example of every word encountered during training.
Researchers developed an AI-based music creation support system called Amuse, which converts user inputs into harmonic structures to support composition. The system has high potential as a creative companion for musicians and is centered on the creator's initiative.
Researchers have discovered nearly 35,000 publicly downloadable deepfake image generators, downloaded over 15 million times since late 2022, primarily targeting women. The study highlights the need for robust technical safeguards and regulatory approaches to address the creation and distribution of these harmful AI models.
A new study from the University of Surrey explores how metaverse platforms like Roblox and ZEPETO are changing consumer engagement forever. Digital doppelgängers, using AR and VR technologies, create immersive experiences that enhance brand engagement and emotional connections.
Insilico Medicine will present detailed Phase IIa data on rentosertib, a novel TNIK inhibitor developed using generative AI, for the treatment of idiopathic pulmonary fibrosis (IPF). The company has previously demonstrated encouraging results from its Phase IIa study, showing favorable safety and tolerability across all dose levels.
The journal is inviting submissions on AI applications in biomedical engineering, focusing on medical device development, personalized diagnostics, and patient outcome prediction. Accepted articles will be published as part of a themed section showcasing current research on AI applications in biomedical engineering.
A recent study from Drexel University found that AI companion chatbots can lead to sexual harassment and unwanted behavior, with over 800 reviews mentioning such incidents. The study suggests that companies must implement safeguards and ethical guidelines to protect users who are vulnerable to emotional harm.
Researchers developed a new AI text-to-video model, MagicTime, that learns real-world physics knowledge from time-lapse videos. The model can simulate biological metamorphosis, building construction, and other complex processes with high accuracy.
A new study published in the Journal of the National Cancer Institute suggests that artificial intelligence can help detect interval breast cancers earlier, potentially reducing their rates by 30%. The research used AI software to analyze mammograms and identify subtle signs of cancer that were missed by radiologists.
A recent study by the University of Surrey suggests that hotel managers may need to adapt to AI-driven system management, shifting their focus from controlling to coaching staff. Effective communication, emotional intelligence, and creativity are key strategies for managers to navigate this transformation.
A Dartmouth team's AI model recognized Navajo with near-perfect accuracy, identifying related languages such as Apache and Native Alaskan languages. The study suggests that this technology could be a bridge to including smaller languages in online translation services.
A study by University of East Anglia compared 145 real student essays with 145 ChatGPT-generated ones, finding that AI essays were coherent but lacked engagement markers like questions and personal commentary. This reflects the limitations of AI in replicating human writing's conversational nuance.
Researchers developed an AI model called Odor Generative Diffusion (OGDiffusion) to automate fragrance creation, generating essential oil blends based on user input of scent descriptors. The system produced fragrances that met people's expectations in human sensory tests.
Researchers analyzed massive audio recordings to create a dictionary of short melodies in English-language prosody, assigning functions and meanings. They discovered hundreds of basic patterns with linguistic functions, including conveying attitudes such as curiosity or surprise, and identified syntactic rules governing their order.
ChatGPT excelled on straightforward math homework, but struggled with higher-level problems requiring reasoning. The study concludes that a student can use ChatGPT exclusively to get a B and pass the course, but lacks learning.
Researchers investigated how brains process language during real-life conversations, employing AI to analyze neural activity and linguistic features. They found that speaking and listening engage widespread networks of brain areas in the frontal and temporal lobes, with highly specific patterns changing depending on words and context.
A recent meta-analysis found that generative AI's diagnostic accuracy is lower than that of specialist doctors, with an average accuracy of 52.1%. The study suggests that while generative AI has the potential to support non-specialist doctors in diagnostics, further research is needed to improve its capabilities.
Insilico Medicine's Pharma.AI Day 2025 will showcase the latest AI breakthroughs and updates, including precision target discovery engine PandaOmics and generative biologics platform Generative Biologics. The company aims to accelerate drug discovery and advance life sciences research with its proprietary platform.
The partnership aims to accelerate breakthroughs in GenAI-powered data management, particularly within Informatica's CLAIRE AI suite. The collaboration will enhance Informatica's Intelligent Data Management Cloud platform with next-generation AI capabilities.
Insilico Medicine is presenting significant achievements in cancer therapy and immunology, including AI-powered discovery of potential therapies and novel solutions for unmet needs. The company's Pharma.AI platform has received IND clearance for 10 molecules, with promising results in Phase 2a clinical studies.
Binghamton University is launching an Institute for AI and Society with $5 million in New York state funding, enabling researchers to tackle issues like online antisemitism and protecting power systems from malicious attacks. The institute will tap into the power of Empire AI, a consortium of public and private universities in New York.
Combining AI with traditional mathematical modeling can improve cancer treatment outcomes by providing specificity and accuracy. The researchers emphasize the importance of ethically sharing health data to create reproducible science, protecting patient privacy while promoting scientific integrity.
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.