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 ...
These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
AI brings innovation and greater accuracy to corporate and investment banking. Artificial intelligence, GenAI, and large ...
Abstract: The rapid growth of data has led to a significant increase in unstructured data, such as text, audio, and images, which dominate modern information processing. However, the complexity of ...
Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
In 2025, Language AI crossed an important threshold in real-world use. These ten Language AI use cases capture key instances ...
As embodied intelligence emerges as the next frontier, a new company has joined the race. ACE Robotics, led by Wang Xiaogang, ...
Physical AI converts terrain, drainage, soil variability and sunlight into structured inputs that can be simulated, ...
"A different future is possible if newsrooms treat data projects as conversations rather than finished products." ...
Abstract: Robot navigation in an unknown environment is a challenging task, due to the lack of spatial awareness and semantic understanding of the environment. Previous works predominantly relied on ...
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