Results 141 to 150 of about 5,292,494 (371)
AI Generations: From AI 1.0 to AI 4.0
This paper proposes that Artificial Intelligence (AI) progresses through several overlapping generations: AI 1.0 (Information AI), AI 2.0 (Agentic AI), AI 3.0 (Physical AI), and now a speculative AI 4.0 (Conscious AI). Each of these AI generations is driven by shifting priorities among algorithms, computing power, and data.
Wu, Jiahao, You, Hengxu, Du, Jing
openaire +2 more sources
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Neoantigen cancer vaccines: a new star on the horizon
Immunotherapy represents a promising strategy for cancer treatment that utilizes immune cells or drugs to activate the patient’s own immune system and eliminate cancer cells.
Xiaoling Li+5 more
doaj +1 more source
Harnessing Nanotechnology and Artificial Intelligence for Precision Agriculture in Smart Cities [PDF]
This short review article, titled “Harnessing Nanotechnology and Artificial Intelligence for Precision Agriculture in Smart Cities,” delves into the fusion of nanotechnology, artificial intelligence (AI), and precision farming to drive sustainable ...
Singh Swati+3 more
doaj +1 more source
The items in this collage were selected from the AI TOPICS Web site's "AI in the News" collection that can be found -- complete with links to the item's source and related AI TOPICS pages -- at www. aaai.org/aitopics/html/current.php. Please note that: (1) an excerpt may not reflect the overall tenor of the item, nor contain all of the relevant ...
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Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang+8 more
wiley +1 more source
Using Deep Learning Technology for Real-Time Sign Language Detection and Recognition at Public Libraries in Egypt. [PDF]
Sign Language is the most expressive way for communication between deaf and hearing-impaired people, where information is majorly conveyed through the hand gestures.
مؤمن سيد
doaj +1 more source
AbstractThis perspective piece calls for the study of the new field of Intersymbolic AI, by which we mean the combination of symbolic AI, whose building blocks have inherent significance/meaning, with subsymbolic AI, whose entirety creates significance/effect despite the fact that individual building blocks escape meaning.
openaire +3 more sources
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley +1 more source