Transformer-based models have rapidly spread from text to speech, vision, and other modalities. This has created challenges for the development of Neural Processing Units (NPUs). NPUs must now ...

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Microsoft Corp. today expanded its Phi line of open-source language models with two new algorithms optimized for multimodal processing and hardware efficiency. The first addition is the text-only ...

Artificial intelligence (AI) not only helps businesses operate more efficiently, but also generates critical insights businesses use to improve. AI has proliferated through the enterprise, becoming a ...

Microsoft has unveiled the Phi-4 series, the latest iteration in its Phi family of AI models, designed to advance multimodal processing and enable efficient local deployment. This series introduces ...

Welcome to your guide into the world of multimodal pipelines, an increasingly vital topic in the realm of artificial intelligence (AI) and large language models. In this quick overview guide, we will ...

Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...

If your organization hasn't started an AI adoption journey, it might already be falling behind. 2024 may have been a banner year for AI in the enterprise, but 2025 is promising even more improvements ...

Multimodal AI, which can ingest content in non-text formats like audio and images, has leveled up the data that large language models (LLMs) can parse. However, new research from security specialist ...

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 ...