​[[{“value”:” Health acoustics, encompassing sounds like coughs and breathing, hold valuable health information but must be utilized more in medical machine learning. Existing deep learning models for these acoustics are often task-specific, limiting their generalizability. Non-semantic speech attributes can aid in emotion recognition and detecting… Read More »Google AI Presents Health Acoustic Representations (HeAR): A Bioacoustic Foundation Model Designed to Help Researchers Build Models that Can Listen to Human Sounds and Flag Early Signs of Disease Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” For optimal performance, AI models require top-notch data. Obtaining and organizing this data may be quite a challenge, unfortunately. There is a risk that publicly available datasets must be more adequate, too broad, or tainted to be useful for some purposes. It can be… Read More »Sepal AI: A Data Development Platform that Enables You to Curate Useful Datasets Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large-scale pretraining followed by task-specific fine-tuning has revolutionized language modeling and is now transforming computer vision. Extensive datasets like LAION-5B and JFT-300M enable pre-training beyond traditional benchmarks, expanding visual learning capabilities. Notable models such as DINOv2, MAWS, and AIM have made significant strides in… Read More »Meta Presents Sapiens: Foundation for Human Vision Models Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI21 Labs has made a significant stride in the AI landscape by releasing the Jamba 1.5 family of open models, comprising Jamba 1.5 Mini and Jamba 1.5 Large. These models, built on the novel SSM-Transformer architecture, represent a breakthrough in AI technology, particularly in… Read More »AI21 Labs Released Jamba 1.5 Family of Open Models: Jamba 1.5 Mini and Jamba 1.5 Large Redefining Long-Context AI with Unmatched Speed, Quality, and Multilingual Capabilities for Global Enterprises Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The main challenge in developing advanced visual language models (VLMs) lies in enabling these models to effectively process and understand long video sequences that contain extensive contextual information. Long-context understanding is crucial for applications such as detailed video analysis, autonomous systems, and real-world AI… Read More »Processing 2-Hour Videos Seamlessly: This AI Paper Unveils LONGVILA, Advancing Long-Context Visual Language Models for Long Videos Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Tabular data, which dominates many genres, such as healthcare, financial, and social science applications, contains rows and columns with structured features, making it much easier for data management or analysis. However, the diversity of tabular data, including numerical, unconditional, and textual, brings huge challenges… Read More »This AI Paper by National University of Singapore Introduces A Comprehensive Survey of Language Models for Tabular Data Analysis Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” One uses computational power in physics simulation to solve mathematical models that describe physical events. When dealing with complex geometries, fluid dynamics, or large-scale systems, the processing demands of these simulations can be enormous, but the insights they bring are vital. 3D physics simulations… Read More »DeepSim: AI-Accelerated 3D Physics Simulator for Engineers Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The training of large-scale deep models on broad datasets is becoming more and more costly in terms of resources and environmental effects due to the exponential development in model sizes and dataset scales in deep learning. A new, potentially game-changing approach is deep model… Read More »Revolutionizing Deep Model Fusion: Introducing Sparse Mixture of Low-rank Experts (SMILE) for Scalable Model Upscaling Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A deep technology conference for processor and system architects from industry and academia has become a key forum for the trillion-dollar data center computing market. At Hot Chips 2024 next week, senior NVIDIA engineers will present the latest advancements powering the NVIDIA Blackwell platform,… Read More »NVIDIA to Present Innovations at Hot Chips That Boost Data Center Performance and Energy Efficiency Dave Salvator – Archives Page 1 | NVIDIA Blog

​[[{“value”:” Model distillation is a method for creating interpretable machine learning models by using a simpler “student” model to replicate the predictions of a complex “teacher” model. However, if the student model’s performance varies significantly with different training datasets, its explanations may need to be… Read More »Enhancing Stability in Model Distillation: A Generic Approach Using Central Limit Theorem-Based Testing Sana Hassan Artificial Intelligence Category – MarkTechPost