Articles tagged with Generative Ai
A University of Kansas study found that people rate corporate crises messages written by humans as more credible and trustworthy, regardless of the approach taken. However, the approach itself didn't vary between participants who read human or AI-written content.
Researchers used generative AI models like ChatGPT and DALL-E to analyze men's fashion trends and create realistic fashion collection images. The study highlights the importance of expertly worded prompts for accurate fashion design implementation, enabling efficient and creative use of generative AI in fashion.
Researchers from the Weizmann Institute of Science and Intel Labs have developed new algorithms that allow AI developers to combine the power of different AI models, speeding up large language model performance by 1.5-2.8 times. This enables faster collaboration between models, reducing processing power costs and improving overall effi...
Researchers used AI model ChatGPT-4 to extract clinical variables from MRI and CT scans of nearly 1,000 adults with pancreatic cysts. The accuracy rate ranged from 97% for solid components to 99% for calcific lesions, comparable to human performance.
The Hong Kong Polytechnic University has secured funding from the Research Grants Council to develop a cost-effective and sustainable collaborative Generative AI (Co-GenAI) model. The project aims to democratize AI development by reducing centralized computational demand and enabling broader participation in GenAI research and deployment.
A recent survey found that nearly two-thirds of U.S. adults consider AI-generated summaries to be somewhat or very reliable, while another 45% say they sometimes give them the answer they need. However, half of respondents are not comfortable with healthcare providers using AI tools.
Researchers found that LLMs are better at representing non-sensorimotor concepts but struggle with sensory and motor concepts. Incorporating sensory input improves LLM performance and leads to more human-like representation, consistent with previous human studies on multimodal learning.
Australian scientists used AI to generate a protein that can kill antibiotic-resistant bacteria like E. coli, a major step forward in combating superbugs. The new approach enables efficient de novo design of proteins with specific characteristics and functions.
A new report from the University of Cambridge's Minderoo Centre for Technology and Democracy highlights the alarming trajectory of energy use by big tech companies, driven by AI growth. The report predicts that data centres could consume up to 8% of global greenhouse gas emissions by 2040, far exceeding current emissions from air travel.
A recent study published in the Association for Computing Machinery Conference on Fairness, Accountability, and Transparency found that AI chatbots are not safe replacements for therapists. The researchers evaluated these chatbots against clinical standards for therapists and concluded that they don
A new study reveals that AI systems transition from relying on word positions to meaning-based understanding as they receive enough data for training. The transition occurs abruptly, similar to a phase transition in physical systems, and is driven by the amount of data available.
A new technique called WeGeFT improves large language model performance in tasks such as commonsense reasoning and code generation. By fine-tuning key parameters, researchers reduce the need for significant computational power, advancing the field of artificial intelligence.
Insilico Medicine's latest Pharma.ai updates showcase advancements in Biology42 and Chemistry42, enhancing antibody design and omics data analysis. The company's AI software suite has demonstrated significant efficiency improvements in practical applications, setting a benchmark for AI-driven drug research.
At the upcoming AI for Good Global Summit, Alex Zhavoronkov PhD will discuss the future potential of generative AI. Insilico Medicine's founder and CEO has invented critical technologies in generative AI and reinforcement learning, and his keynote will explore applications in drug discovery and longevity.
The College of Engineering at Texas A&M is developing a suite of university-wide resources to integrate generative AI into course material, research, and outreach. The initiative aims to make generative AI a core part of the academic toolkit accessible to faculty across disciplines.
A new study published in the Journal of Experimental Psychology found that interacting with robots through social games makes them seem more human-like. The researchers used a box-shaped robot called Cozmo and found that participants who played games with it considered it more human-like, whereas those who interacted mechanically did not.
The Hebrew University of Jerusalem is part of a €9.3 million, 36-month Horizon Europe project to develop trustworthy GenAI systems. The consortium aims to integrate neural and symbolic methods for human-centric design in complex systems.
A new study in Nature Communications found that AI models exhibit a geometric property called convexity, which helps humans form and share concepts. Convexity is also linked to the performance of AI models on specific tasks.
Researchers propose a paradigm shift toward an educational model built on human interdependence, urging a re-examination of success and purpose. The new approach emphasizes uniquely human capacities, creativity, emotional intelligence, and collaboration with AI.
Paulina DeVito, a Ph.D. candidate in computer science at Florida Atlantic University, has been awarded the NSF Graduate Research Fellowship to pursue research on developing large language model-based approaches for analyzing public discourse on social media. Her work aims to understand how people discuss emerging technologies and infor...
Researchers developed a puzzle game called AI Puzzlers that teaches kids to spot errors in AI responses and think creatively. By comparing their solutions to those from various AI chatbots, kids learn to use AI as a tool that needs guidance rather than an answer machine.
The AI for Good Global Summit 2025 will showcase AI innovations delivering better healthcare and education, reducing disaster risks, ensuring water and food security, and bolstering economic resilience. The event, organized by the International Telecommunication Union (ITU), features talks from AI leaders and 100+ demos.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Experts Cary Coglianese and Colton Crum argue that management-based regulation, or using
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.
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.
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.
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.
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.
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.
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.