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AI meets blockchain and decentralised data
Blockchain can become a potent force as the foundation of decentralised AI systems, transparent and fair – ensuring everyone can access not only the technology, but the rewards it delivers. Blockchain has enormous potential to […]
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MMed-RAG: A Versatile Multimodal Retrieval-Augmented Generation System Transforming Factual Accuracy in Medical Vision-Language Models Across Multiple Domains
AI has significantly impacted healthcare, particularly in disease diagnosis and treatment planning. One area gaining attention is the development of Medical Large Vision-Language Models (Med-LVLMs), which combine visual and textual data for advanced diagnostic tools. […]
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Keywords acquires co-development studio Certain Affinity
Keywords Studios announced today that it plans to acquire Certain Affinity for an undisclosed sum. Certain Affinity is a well-known game co-development studio that has worked on games such as Halo, Hogwarts Legacy and Call […]
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Google announces restructuring to accelerate AI initiatives
Google CEO Sundar Pichai has announced a series of structural changes and leadership appointments aimed at accelerating the company’s AI initiatives. The restructuring sees the Gemini app team, led by Sissie Hsiao, joining Google DeepMind […]
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DeepSeek AI Releases Janus: A 1.3B Multimodal Model with Image Generation Capabilities
Multimodal AI models are powerful tools capable of both understanding and generating visual content. However, existing approaches often use a single visual encoder for both tasks, which leads to suboptimal performance due to the fundamentally […]
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Endor Labs unveils evaluation tool
Endor Labs has begun scoring AI models based on their security, popularity, quality, and activity. Dubbed ‘Endor Scores for AI Models,’ this unique capability aims to simplify the process of identifying the most secure open-source […]
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Differentiable Adaptive Merging (DAM): A Novel AI Approach to Model Integration
Model merging, particularly within the realm of large language models (LLMs), presents an intriguing challenge that addresses the growing demand for versatile AI systems. These models often possess specialized capabilities such as multilingual proficiency or […]
