Knowledge Based Systems
Articles tagged with Knowledge Based Systems
Duke University professor recognized for launching mentoring programs that drive student success
Nicki Washington, a Duke University professor, has been recognized by the Association for Computing Machinery (ACM) for her exceptional commitment to diversifying the computing community. Her mentoring programs have led to increased student success and career opportunities.
New report looks at how AI is impacting software development
The report examines how generative AI tools are transforming software development, offering benefits such as increased productivity but also raising security vulnerabilities and technical debt. Strong software engineering practices are still required to ensure systems are secure, reliable, and maintainable.
AI can give as good as it gets ... or better: The moral dilemma of combative chatbots
A recent study from Lancaster University reveals that AI systems like ChatGPT can learn to mirror human impoliteness, potentially escalating into verbal violence. The research tested ChatGPT's ability to respond to real-life impolite interactions, finding it often produces more impolite behavior than humans.
Information retrieval pioneer Ricardo Baeza-Yates earns major accolade
Ricardo Baeza-Yates has made fundamental contributions to computer science through his pioneering work in algorithms and information retrieval. He has fostered a vibrant transnational research community across Latin America, inspiring young people with the South American Programming Contest.
Tiny AI model could strengthen real-time fault diagnosis for high-speed train bogies
Researchers developed a lightweight fault-diagnosis framework for high-speed train bogies using selective knowledge distillation-based domain adaptation. The approach improves cross-domain diagnostic accuracy by at least 2.1% while keeping the final model size to 28.5 kB.
ACM Prize in Computing honors Matei Zaharia for foundational contributions to data and machine learning systems
Matei Zaharia's work on open-source systems like Apache Spark, Delta Lake, and MLflow has enabled large-scale machine learning, analytics, and AI at global scale. His innovations have made scalable computing accessible to researchers, nonprofits, and enterprises across every industry.
HKU to host Hong Kong Global AI Governance Conference 2026
The conference will feature keynote dialogues, fireside chats, and panel discussions on key themes such as AI and education, law and regulation, public governance, and global cooperation. Distinguished participants include senior representatives from international organisations and public policy institutions.
Digital Science acquires Ontopic to accelerate the customer journey for enterprise knowledge graphs
Digital Science acquires Ontopic, a pioneer in Virtual Knowledge Graph technology, to democratize research data and provide enterprise-grade AI solutions. The acquisition enables users to build and access Knowledge Graphs directly from existing data sources.
New tool maps the landscape of student knowledge using short quizzes
Researchers at Dartmouth College developed a mathematical framework to map students' conceptual knowledge from short multiple-choice quizzes, revealing peaks of mastery and valleys of struggle. The technique could enable personalized learning, AI tutoring systems, and more efficient feedback.
AI could prevent construction delays before they happen, study finds
A new study proposes a framework for connecting AI risk prediction systems with scheduling platforms to detect emerging risks and adjust project plans before delays occur. This approach aims to close the gap between early warning and actionable response, enabling more resilient project delivery.
Cyber-attacks could disrupt smart factories by targeting time itself, study warns
Researchers at the University of East London identified a critical weakness in Industrial Internet of Things networks that can destabilize factories and safety-critical infrastructure. Attackers can exploit subtle 'delay attacks' to quietly disrupt coordination, making timing just as important as information in highly automated systems.
Indigenous Peoples and local communities in three continents report a drastic decline in bird body mass
A global study documents the collective ecological memory of Indigenous Peoples and local communities, revealing a consistent pattern of large-bodied bird species disappearing from local environments replaced by smaller-bodied species, with average bird mass declining from 1500g to 535g over eight decades.
Multiple autonomous AI systems spontaneously collaborate to advance materials research
Researchers developed an autonomous AI network technology that enables multiple AI systems to spontaneously collaborate and share knowledge to discover new materials. This collaboration improves exploration efficiency and paves the way for the creation of numerous new materials.
New framework verifies AI-generated chatbot answers
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.
Leading tech policy group calls for urgent review of speech recognition technology
The ACM's Technology Policy Council has issued a report on automated speech recognition (ASR) highlighting the need for rigorous audit and governance practices. The report raises concerns about technological bias, inequity, and lack of transparency in ASR systems.
UAE launches new AI ecosystem for global agricultural development
The UAE has launched an AI ecosystem to support climate-resilient farming in vulnerable communities worldwide. The CGIAR AI Hub and four other initiatives aim to drive digital transformation and innovation in agriculture, providing practical solutions for farmers, governments, and development actors.
Major success for German research into social artificial intelligence
The German Research Foundation extends TRR 318 'Constructing Explainability' for a further three and a half years, focusing on context within explanations to develop more comprehensible AI systems. The collaboration involves over 60 researchers across seven disciplines, aiming to create social forms of explainable AI.
Why does AI struggle with logical thinking? An Emmy Noether Research Group aims to find out
Researchers aim to understand and overcome the limitations of current large language models, which make mistakes despite extensive training. The Emmy Noether Research Group will focus on developing new architectures with predictable capabilities.
University of Houston assists in designing robotic hands for use in health, agriculture, manufacturing
The University of Houston is designing robotic hands with dexterity for industries such as healthcare, agriculture, and manufacturing. The team, part of the NSF Convergence Accelerator program, has received $5 million in funding to develop hybrid polymeric materials that can mechanically retract and perform motions like flexion.
New AI-powered method helps protect global chip supply chains from cyber threats
Researchers at the University of Missouri have developed an AI-powered method to detect hidden hardware trojans in chip designs, offering a 97% accurate solution. The approach leverages large language models to scan for suspicious code and provides explanations for detected threats.
Google.org backs the Wits MIND Institute with US$1M boost
The Wits MIND Institute has received a $1 million boost from Google.org, enabling it to drive next-generation breakthroughs in natural and artificial intelligence. The partnership aims to advance the scientific understanding of both natural and artificial intelligence, foster breakthrough research and technological innovation.
IJCAI 2025 – Artificial Intelligence for a Better World - Since 1969
The 34th International Joint Conference on Artificial Intelligence (IJCAI) will take place in Montreal, Canada, from August 16 to 22, 2025. The conference aims to showcase the frontiers of artificial intelligence research and applications, with a focus on AI's impact on society.
Accelerating science with AI
Researchers use AI to solve differential equations, such as Schrodinger's equation, for large-scale systems, improving efficiency and accuracy in fields like drug discovery and material design.
Evaluating AI language models just got more effective and efficient
Stanford researchers introduce a cost-effective way to evaluate AI language models, accounting for question difficulty to ensure fair comparisons. The new approach reduces costs by half and enables rapid progress in the field of artificial intelligence.
First-of-its-kind journal facilitates rapid publication of AI research
The new journal aims to accelerate knowledge dissemination in AI by prioritizing theoretical breakthroughs, practical applications, and societal implications. It features short peer-reviewed contributions and opinion pieces to facilitate swift engagement with contemporary AI issues.
New partnership explores frontiers of AI in higher education
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.
University of Washington grad receives ACM Doctoral Dissertation Award for developing machine learning algorithms to improve mental health
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.
Hypertension, diabetes, and high cholesterol awareness among US adults
A recent study found that nearly 1 in 6 adults with hypertension and 3 in 10 with diabetes were unaware of their condition by 2021-2023. Young adults and women are disproportionately affected by a lack of awareness.
PolyU scholar honored with the Hong Kong Engineering Science and Technology Award for contributions to Web3 and digital economy
Prof. AU Man Ho Allen has been recognized with the prestigious Hong Kong Engineering Science and Technology (HKEST) Award 2024-25 for his outstanding contributions to the Web3 ecosystem and the digital economy. His research focuses on developing practical, secure, and privacy-preserving cryptographic solutions.
Study explores how to use AI to listen to the ‘heartbeat’ of a city
University of Missouri researchers create digital sentiment map using AI to analyze public Instagram posts, linking emotional tone to real-life features. The tool aims to improve city services, identify areas of concern, and inform emergency response decisions.
ACM honors those who shape technology's future
This year's ACM awards recognize groundbreaking innovations in autonomous systems, cryptography, and software for parallel computers. Peter Stone receives the Allen Newell Award for contributions to AI, while William Gropp and his team receive the Software System Award for developing MPICH.
ECNU Review of Education study calls for reconstructing human education in an uncertain world
The study highlights the need to reconstruct human education due to increasing uncertainties in politics, economy, science, and technology. A proposed strategy includes rebuilding an educational contract based on understanding and cooperation, developing a dynamic lifelong education system, and exploring AI-empowered education models.
Artificial intelligence that uses less energy by mimicking the human brain
A new approach to AI developed by Texas A&M University engineers mimics the human brain's neural processes, integrating learning and memory in a single system. This 'Super-Turing AI' has the potential to revolutionize the industry by reducing energy consumption and environmental impact.
Staying one step ahead of cyberattackers
Researchers at Mizzou have developed a proactive approach using artificial intelligence to address evolving threats against smart grids. The CIBR-Fort system can predict cyberattacks with 91.88% accuracy and defend against them in real-time, enabling scalable security for power grids of the future.
Graz language database improves automatic speech recognition of Austrian German
Researchers at Graz University of Technology developed a new database to improve speech recognition of Austrian German using speech data from 38 speakers. They found that traditional HMM-based systems are more robust for short sentences and dialectal language, while transformer-based models excel with longer sentences and context.
How job ads shape gender and racial segregation in the UK workforce – new study
A new study by Lancaster University reveals that language in job ads can unintentionally reinforce or disrupt labour force gender/racial composition. Workforces with more women tend to use family-friendly policies in ads, while racial minority workers' ads lack impact, the research shows.
New guidance for ensuring AI safety in clinical care published in JAMA by UTHealth Houston, Baylor College of Medicine researchers
Experts from UTHealth Houston and Baylor College of Medicine developed a pragmatic approach to monitor and manage AI systems in healthcare organizations. The guidance emphasizes the need for robust governance systems, testing processes, and transparency with patients to ensure safe AI adoption.
MIT researchers use large language models to flag problems in complex systems
Researchers developed a framework called SigLLM that uses large language models to detect anomalies in time-series data. The approach converts time-series data into text-based inputs and can be deployed right out of the box, offering an efficient anomaly detection solution for complex systems.
GPT-4 matches radiologists in detecting errors in radiology reports
A study found that GPT-4 matched the performance of radiologists in detecting errors in radiology reports, with an accuracy rate of 82.7%. The use of GPT-4 resulted in lower mean correction cost per report than the most cost-efficient radiologist.
Can the bias in algorithms help us see our own?
A new study by Carey Morewedge and colleagues found that people are more likely to recognize bias in algorithmic decisions than their own. This is because algorithms can codify and amplify human bias, but also reveal structural biases in society. The research suggests ways to increase awareness of biases and correct them.
TRAILS AI Institute announces first round of Seed Funding
The TRAILS AI Institute has awarded eight seed grants totaling $1.5 million to advance AI design, development and governance. The funded projects include developing AI chatbots for smoking cessation and designing animal-like robots for autism support.
NSF-funded project provides digital maps to improve accessibility and navigation for persons with disabilities
A NSF-funded project, MABLE, is developing a digital app using crowdsensing, AI, and robotics to empower individuals with responsive maps and turn-by-turn instructions. The app aims to improve accessibility and navigation for persons with visual or mobility impairments, such as those with low vision and wheelchair users.
AI should be better understood and managed – new research warns
A Lancaster University academic argues that AI and algorithms contribute to polarization, radicalism, and political violence, posing a threat to national security. The paper examines how AI has been securitized throughout its history, highlighting the need for better understanding and management of its risks.
AI: Elias puts UniTrento on the European map of innovation
The University of Trento coordinates a European research network, Elias, aiming to establish Europe as a leader in AI research. The project focuses on developing new computational systems and models for sustainable innovation, social cohesion, and reliable AI.
Assessment of AI chatbot responses to top searched queries about cancer
Researchers found AI chatbot responses to top cancer queries are generally accurate but lack actionable information. These limitations suggest relying on chatbots for supplementary purposes rather than primary medical information.
Evaluating AI responses to public health questions
ChatGPT consistently provided accurate, evidence-based answers in public health questions, beating rival AI assistants. Meanwhile, Amazon Alexa and Google Assistant struggled to recognize or refer users for help.
Performance of an artificial intelligence chatbot in ophthalmic knowledge assessment
A recent study assessed an AI chatbot's ability to answer ophthalmic questions, finding it answered approximately half correctly. The results suggest that while AI has medical advances, the current chatbot is not yet ready for substantial assistance in board certification preparation.
New neural network uses common sense to make fake bird images from text
A new neural network, CD-GAN, uses common sense knowledge to enhance text descriptions and generate images of birds at three resolution levels. The system achieved competitive scores against other image generation methods, producing vivid and natural-looking images.
Factors associated with knowledge and experience of self-managed abortion among patients seeking care at abortion clinics
A survey study of 19,000 patients found that self-managed abortion was prevalent before accessing in-clinic care, particularly among those with limited access. The findings suggest a need for increased access to telemedicine and decentralized abortion care models.
How repeated questions could put you at risk of cyber crime
A new study found that repeated requests for personal data increase disclosure, despite unchanged concerns about privacy. Researchers suggest practical measures to reduce this effect and encourage mutually beneficial sharing.
Awareness of SARS-CoV-2 omicron variant infection among adults
A recent study in Los Angeles County found that more than half of adults with Omicron variant infection were unaware of their infectious status. Health care employees had higher awareness rates than non-employees, highlighting the need for increased vigilance and testing to prevent transmission.
A scoping review of the knowledge graph used in medical imaging analysis
A scoping review of knowledge graph applications in medical imaging analysis identifies increasing trend and potential future directions. The study highlights the effectiveness of prior knowledge in medical imaging tasks, but also reveals limitations, including limited annotated data and weak generalizability.
Designing ‘smart’ security for smart devices
Researchers aim to create a flexible security feature that learns from past cyberattacks and requires minimal human intervention. They'll collaborate with device developers to share solutions and improve future responses to attacks.
New flood risk prediction tool to MapOut disaster mitigation plans
Researchers developed WebFRIS, a web-based platform to provide socio-economic vulnerability analysis and simplify flood risk information. The tool can help formulate targeted solutions and enhance social capacity and resilience in flood-prone regions.
$25M tech grant lets Illinois researchers ‘talk’ to plants
The Center for Research on Programmable Plant Systems (CROPPS) aims to create systems that enable plants to communicate their hidden biology to sensors, optimizing growth and the local environment. This will lead to breakthrough discoveries, new educational opportunities, and transformative management of crops.
New direction for chance discovery?
The chance discovery field is shifting towards a new direction, focusing on interaction, visualization, and abduction to tackle complex problems and predict future trends. By analyzing implicit symptoms in data, researchers aim to identify risks and benefits, enabling better decision-making.