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AI Shorts
Microsoft has released Phi-4, a compact and efficient small language model, on Hugging Face under the MIT license. This decision highlights a shift towards ...
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Natural Language Processing
Microsoft has released Phi-4, a compact and efficient small language model, on Hugging Face under the MIT license. This decision highlights a shift towards ...
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Digital Health
The development of Physical AI—AI systems designed to simulate, predict, and optimize real-world physics—has long been constrained by significant challenges. Building accurate models often demands ...
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Reinforcement Learning
In a time when global health faces persistent threats from emerging pandemics, the need for advanced biosurveillance and pathogen detection systems is increasingly evident. Traditional genomic ...
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Unlocking Cloud Efficiency: Optimized NUMA Resource Mapping for Virtualized Environments
Disaggregated systems are a new type of architecture designed to meet the high resource demands of modern applications like social networking, search, and in-memory databases. The systems intend to ...
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NVIDIA AI Introduces Cosmos World Foundation Model (WFM) Platform to Advance Physical AI Development
The development of Physical AI—AI systems designed to simulate, predict, and optimize real-world physics—has long been constrained by significant challenges. Building accurate models often demands ...
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Meet Height: An Autonomous Project Management Platform Leading the Next Wave of AI Tools
When it comes to AI tools, chatbots are often the first thing that comes to mind —conversation-based interfaces for users to write queries and receive responses. These dialogue interfaces are ...
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Enhancing Clinical Diagnostics with LLMs: Challenges, Frameworks, and Recommendations for Real-World Applications
Using LLMs in clinical diagnostics offers a promising way to improve doctor-patient interactions. Patient history-taking is central to medical diagnosis. However, factors such as increasing patient ...
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This AI paper from the Beijing Institute of Technology and Harvard Unveils TXpredict for Predicting Microbial Transcriptomes
Predicting transcriptomes directly from genome sequences is a significant challenge in microbial genomics, particularly for the numerous sequenced microbes that remain unculturable or require complex ...
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Graph Generative Pre-trained Transformer (G2PT): An Auto-Regressive Model Designed to Learn Graph Structures through Next-Token Prediction
Graph generation is an important task across various fields, including molecular design and social network analysis, due to its ability to model complex relationships and structured data. Despite ...
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VITA-1.5: A Multimodal Large Language Model that Integrates Vision, Language, and Speech Through a Carefully Designed Three-Stage Training Methodology
The development of multimodal large language models (MLLMs) has brought new opportunities in artificial intelligence. However, significant challenges persist in integrating visual, linguistic, and ...
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Dolphin 3.0 Released (Llama 3.1 + 3.2 + Qwen 2.5): A Local-First, Steerable AI Model that Puts You in Control of Your AI Stack and Alignment
Artificial intelligence has come a long way, transforming the way we work, live, and interact. Yet, challenges remain. Many AI systems rely heavily on cloud-based infrastructure, which raises valid ...