Overview:  Multimodal AI is changing how machines process information by combining text, images, audio, video, and sensor ...

CVPR 2026 opened Friday in Denver with a record 16,092 submissions and 4,089 accepted papers — a 42% jump — as ...

In a recent AGI House interview, Sergey Brin described Gemini as a system whose capabilities are not just evolving but ...

As clinical trials grow increasingly complex and multi-modal, the pharmaceutical industry is pivoting toward AI-driven agentic orchestrators and lakehouse architectures to untangle disparate data ...

The Decision Catalyst interface, which was created in minutes using Google AI Studio, is a multimodal system that uses a ...

The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...

Parth is a technology analyst and writer specializing in the comprehensive review and feature exploration of the Android ...

By listening to recordings of students solving math problems, teachers can determine their next steps, such as how to pair students up.

The model marks Google's bid to collapse the multimodal generative stack — text-to-image, image-to-video, video-to-video, ...

One of the key challenges of building effective AI agents is teaching them to choose between using external tools or relying on their internal knowledge. But large language models are often trained to ...

Some time back, I noted that the relationship between Microsoft and OpenAI was starting to fray, which could lead to Microsoft embracing other large language models for its AI offerings. Well, you ...

Policy, Technology, and Inclusion in European Education and published in AI in Education, the study examines how digital ...