Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...
Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...
Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.
Generative AI is a type of artificial intelligence designed to create new content by learning patterns from existing data.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback