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Image SEO for multimodal AI
Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface ...
Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.
Gemini 3 Flash offers $0.50 input and $3 output per million tokens, cutting costs with fewer tokens while speeding up daily ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Deep learning has boomed across industries since the introduction of Convolution Neural Networks (CNNs). Now, it can be applied to images, text, speech, videos, and more [1]. However, despite ...
Chen Hang, CEO of Manycore. Photo source: 36Kr. Manycore unveils Aholo and LuxReal to ground the next wave of generative AI in the physical world. On December 9, Manycore officially launched Aholo, a ...
Study: Multimodal AI generates virtual population for tumor microenvironment modeling A recent study published in the journal Cell explored the capabilities of GigaTIME, a multimodal AI framework ...
Despite remarkable progress, multimodal foundation models still exhibit surprising deficiencies in spatial intelligence. In this work, we explore scaling up multimodal foundation models to cultivate ...
What if the most new achievement in artificial intelligence wasn’t the end of the story, but merely the opening act? Imagine a system so advanced it could not only solve complex problems but also ...
Two of BTS’ quintessential album series — ‘The Most Beautiful Moment in Life’ and ‘Love Yourself’ — are now available in a way fans have never heard before. By Nicole Fell Assistant Editor It’s ...
The study, published today in Cancer Cell, generated spatial transcriptomic maps in precancerous and more advanced stages of lung cancer to provide a deeper understanding of early lung cancer ...
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