Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.
Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...
Android Central on MSN
NotebookLM is now powered by Gemini 3 for better reasoning and multimodal understanding
Google has officially made the switch from Gemini 2.5 Flash to Gemini 3 for NotebookLM, bringing the company's "most ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
In today’s fast-moving biopharma landscape, companies face increasing pressure to deliver the right treatment, to the right patient, at the right time, faster and more efficiently. As our ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
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