Results 101 to 110 of about 5,292,494 (371)

AI for Not Bad [PDF]

Frontiers in Big Data, 2019
Hype surrounds the promotions, aspirations, and notions of "artificial intelligence (AI) for social good" and its related permutations. These terms, as used in data science and particularly in public discourse, are vague. Far from being irrelevant to data scientists or practitioners of AI, the terms create the public notion of the systems built ...
openaire   +3 more sources

Simultaneous inhibition of TRIM24 and TRIM28 sensitises prostate cancer cells to antiandrogen therapy, decreasing VEGF signalling and angiogenesis

Molecular Oncology, EarlyView.
TRIM24 and TRIM28 are androgen receptor (AR) coregulators which exhibit increased expression with cancer progression. Both TRIM24 and TRIM28 combine to influence the response of castrate‐resistant prostate cancer (CRPC) cells to AR inhibitors by mediating AR signalling, regulation of MYC and upregulating VEGF to promote angiogenesis. Castrate‐resistant
Damien A. Leach, Nilesh Chatterjee, Kellie Spahr, Gilberto Serrano de Almeida, Anabel Varela‐Carver, Taimur T. Shah, Mathias Winkler, Hashim U. Ahmed, Charlotte L. Bevan   +8 more
wiley   +1 more source

Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives

Healthcare
Artificial intelligence (AI) has emerged as a crucial tool in healthcare with the primary aim of improving patient outcomes and optimizing healthcare delivery.
Molly Bekbolatova, Jonathan Mayer, Chiwei Ong, Milan Toma   +3 more
semanticscholar   +1 more source

AI for Low-Code for AI

Proceedings of the 29th International Conference on Intelligent User Interfaces
Low-code programming allows citizen developers to create programs with minimal coding effort, typically via visual (e.g. drag-and-drop) interfaces. In parallel, recent AI-powered tools such as Copilot and ChatGPT generate programs from natural language instructions. We argue that these modalities are complementary: tools like ChatGPT greatly reduce the
Nikitha Rao, Jason Tsay, Kiran Kate, Vincent Hellendoorn, Martin Hirzel   +4 more
openaire   +2 more sources

Global Solutions vs. Local Solutions for the AI Safety Problem [PDF]

, 2019
There are two types of artificial general intelligence (AGI) safety solutions: global and local. Most previously suggested solutions are local: they explain how to align or “box” a specific AI (Artificial Intelligence), but do not explain how to prevent ...
Turchin, Alexey
core  

Tumor clusters with divergent inflammation and human retroelement expression determine the clinical outcome of patients with serous ovarian cancer

Molecular Oncology, EarlyView.
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner, Markus Eckstein, Christoph Mark, Matthias W. Beckmann, Arndt Hartmann, Pamela L. Strissel, Reiner Strick   +6 more
wiley   +1 more source

Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education

The present discussion examines the transformative impact of Artificial Intelligence (AI) in educational settings, focusing on the necessity for AI literacy, prompt engineering proficiency, and enhanced critical thinking skills.
Yoshija Walter
semanticscholar   +1 more source

Generative AI in healthcare: an implementation science informed translational path on application, integration and governance

Implementation science : IS
Background Artificial intelligence (AI), particularly generative AI, has emerged as a transformative tool in healthcare, with the potential to revolutionize clinical decision-making and improve health outcomes.
S. Reddy
semanticscholar   +1 more source

The Future of AI or AI for the Future

, 2020
The third hype of AI and enthusiasm for applying last techniques in all fields raise great interest and some important questions on the future directions in AI research and applications. Guiding by the principle of combing the best from human and computers capacities this chapter lists some important challenges to face and related directions in AI ...
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Trustworthy AI [PDF]

Communications of the ACM, 2021
The pursuit of responsible AI raises the ante on both the trustworthy computing and formal methods communities.
openaire   +3 more sources