Generative AI has recently had a profound impact on various fields, including daily life, research, and education. To explore its efficient utilization in data-driven materials science, we organized a hackathon -- AIMHack2024 -- in July 2024. In this hackathon, researchers from fields such as materials science, information science, bioinformatics, and condensed matter physics worked together to explore how generative AI can facilitate research and education. Based on the results of the hackathon, this paper presents topics related to (1) conducting AI-assisted software trials, (2) building AI tutors for software, and (3) developing GUI applications for software. While generative AI continues to evolve rapidly, this paper provides an early record of its application in data-driven materials science and highlights strategies for integrating AI into research and education.

Advanced cyberinfrastructure (CI) is critical to science and engineering (S&E) research. For example, over the past two years, CI resources (including those provided by the COVID-19 HPC Consortiuma) enabled research that dramatically accelerated efforts to understand, respond to, and mitigate near- and longer-term impacts of the novel coronavirus disease 2019 (COVID-19) pandemic.b Computer-based epidemiology models informed public policy in the U.S., and in countries throughout the world, and newly studied transmission models for the virus have been used to forecast resource availability and mortality stratified by age group at the county level.c Artificial intelligence and machine learning approaches accelerated drug screening to find candidate medicines from trillions of possible chemical compounds,d and differential gene expressions among COVID-19 patient populations have been analyzed with important implications for treatment planning.e Structural modeling of the virus has led to new insights, speeding the development of vaccines and antigens.

For full eligibility requirements for a position as Full Professor see "Appointment Procedure at Jönköping University" As a professor, you will together with other professors and the department management lead the development of our research and education portfolios, and you will participate in research projects and educational programmes on first-, second, and third-cycle level. You will participate in the scientific community on high international level through, e.g., joint project applications and projects, arranging conferences, reviewing articles and appointments, etc. You are also expected to represent Jönköping University and the JAIL group in outreach activities to industry and the broader society; regionally, nationally, and internationally. As a professor at the Department of Computing you will be appointed to the Department Management Team, dealing with short- and long-term development issues and strategy; the DMT consists of the Head of Department, the Deputy Head of Department for Education, and the professors employed within the department. The School of Engineering is one of four schools within Jönköping University.

This article was published in the Spring 2021 issue of Litterae Populi. The full issue can be found here. The Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN) was established as Japan's only research center specializing in hybrid research and education in the humanities, social sciences, neuroscience and AI. With the mission to create new knowledge on the nature of human existence, the Center conducts research and education taking advantage of the strengths and characteristics of Hokkaido University as a leading research university. In July 2019, the Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN) was established as a university facility and it launched its activities. CHAIN's mission is to provide interdisciplinary research and education that integrate arts and sciences at the intersection of the humanities, social sciences, neuroscience and artificial intelligence (AI), i.e., to be a place where new knowledge is generated.

Our daily interactions with technology create vast amounts of data and analytics giving rise to what has been dubbed the "artificial intelligence revolution." Now, a new research centre at the University of Toronto's Temerty Faculty of Medicine aims to harness the incredible promise of AI in the realms of medicine and health care. The Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) launched this week at U of T, solidifying Toronto's place at the nexus of AI, data science and the health sciences. "Toronto is uniquely positioned to lead globally in artificial intelligence in healthcare," says Professor Muhammad Mamdani, who was recently appointed the inaugural director of T-CAIREM for a five-year term. "Our expertise in medicine and allied health sciences, computer science, statistics, mathematics and engineering is among the best in the world."

Sinai School of Medicine, Stanford University and the Northern California Institute for Research and Education, IBM Research is undertaking a new research initiative funded by the National Institutes of Health. As part of a broader $99 million, 5-year research initiative spanning multiple public and private organizations and research institutions, this work will tap into AI and big data to help better identify individuals at high-risk of developing schizophrenia, a serious mental illness affecting how a person thinks, feels and behaves. Schizophrenia is often characterized by alterations to a person's thoughts, feelings and behaviors, which can include a loss of contact with reality known as psychosis. A better understanding of how this disease could be detected prior to psychosis could help to postpone or even prevent the transition to psychosis, as well as possibly improve outcomes. The project is a component of the Accelerating Medicines Partnership (AMP), a collaboration between the National Institutes of Health (NIH), the U.S. Food and Drug Administration (FDA), pharmaceutical companies, biotech firms and nonprofit organizations.

Clemson University is strengthening its ability to conduct research and offer courses in artificial intelligence, a fast-rising technology that is beginning to revolutionize industries ranging from advanced manufacturing to healthcare. About 80 faculty members are banding together to launch the new Clemson Artificial Intelligence Research Institute for Science and Engineering, or AIRISE. Feng Luo meets (center) is the director and founder of the new Clemson Artificial Intelligence Research Institute for Science and Engineering. Clemson researchers have been developing and using artificial intelligence for years, and the institute will build on projects already underway. Artificial intelligence is widely regarded as crucial to enhancing economic and national security.

Project description Our society is changing. Artificial Intelligence (AI) and related technologies are playing an increasingly important role in our society. To this end Leiden University has started a new, university wide initiative to enable collaboration on the use of AI. By building on and expanding the already existing expertise of AI the project intends to advance science and improve the quality of our life. All the disciplines of the University of Leiden are involved: Archeology, Humanities, Social Sciences, Law, Public Administration, Sciences, and also the Leiden University Medical Centre (LUMC), to collaborate and appoint new staff with joint interests.

Eat too much and there won't be grass for anyone. In an essay written in 1833, the British economist William Forster Lloyd made a profound observation using the example of cattle grazing. Lloyd described a hypothetical scenario involving herders who share a pasture, and individually decide how many of their animals would graze there. If few herders exercised restraint, overgrazing would occur, reducing the pasture's future usefulness and eventually hurting everybody. The sinister beauty of this example is that the rational course of action is to behave selfishly.