Apple Vision Pro: Use Cases and Special Application in the Biomedical Sector Sana Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” Apple Vision Pro emerges as a platform poised to reshape the biomedical landscape. It leverages the formidable capabilities of Apple devices to catalyze innovation in healthcare. This advanced solution integrates cutting-edge imaging technology with robust software, unlocking many possibilities for healthcare professionals and researchers.… Read More »Apple Vision Pro: Use Cases and Special Application in the Biomedical Sector Sana Hassan Artificial Intelligence Category – MarkTechPost

KDk: A Novel Machine Learning Framework that Protects Vertical Federated Learning from All the Known Types of Label Inference Attacks with Very High Performance Mohammad Arshad Artificial Intelligence Category – MarkTechPost

[[{“value”:” Federated Learning (FL) has emerged as a pivotal technology in recent years, enabling collaborative model training across disparate entities without centralizing data. This approach is particularly advantageous when organizations or individuals must cooperate on model development without compromising sensitive data. By keeping data locally… Read More »KDk: A Novel Machine Learning Framework that Protects Vertical Federated Learning from All the Known Types of Label Inference Attacks with Very High Performance Mohammad Arshad Artificial Intelligence Category – MarkTechPost

[[{“value”:” On-device intelligence (ODI) is an emerging technology that combines mobile computing and AI, enabling real-time, customized services without network reliance. ODI holds promise in the Internet of Everything era for applications like medical diagnosis and AI-enhanced motion tracking. Despite ODI’s potential, challenges arise from… Read More »Privacy-Preserving Training-as-a-Service (PTaaS): A Novel Service Computing Paradigm that Provides Privacy-Friendly and Customized Machine Learning Model Training for End Devices Mohammad Asjad Artificial Intelligence Category – MarkTechPost

On-device machine learning (ML) moves computation from the cloud to personal devices, protecting user privacy and enabling intelligent user experiences. However, fitting models on devices with limited resources presents a major technical challenge: practitioners need to optimize models and balance hardware metrics such as model… Read More »Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference Apple Machine Learning Research

The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and enabling investigations into data and model biases, as well as potential risks. To this end, we release OpenELM, a state-of-the-art open language model. OpenELM uses… Read More »OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework Apple Machine Learning Research

[[{“value”:” Integrating artificial intelligence (AI) in healthcare transforms medical practices by improving diagnostics and treatment planning accuracy and efficiency. By leveraging advanced algorithms, AI supports a range of applications, from anomaly detection in medical imaging to predicting disease progression, enhancing the overall efficacy of medical… Read More »This AI Paper Proposes a Novel Bayesian Deep Learning Model with Kernel Dropout Designed to Enhance the Reliability of Predictions in Medical Text Classification Tasks Nikhil Artificial Intelligence Category – MarkTechPost

[[{“value”:” Online text recognition models have advanced significantly in recent years due to enhanced model structures and larger datasets. However, mathematical expression (ME) recognition, a more intricate task, has yet to receive comparable attention. Unlike text, MEs have a rigid two-dimensional structure where the spatial… Read More »Google AI Proposes MathWriting: Transforming Handwritten Mathematical Expression Recognition with Extensive Human-Written and Synthetic Dataset Integration and Enhanced Model Training Sana Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” The landscape of AI language models is dynamic and ever-evolving, with each model bringing unique capabilities and applications. Check out the tweet on X by @bindureddy, CEO of Abacus.AI, on the insane Llama 3 contribution to the open-source. Let’s delve into the comparative aspects… Read More »Comparative Analysis of Llama 3 with AI Models like GPT-4, Claude, and Gemini Adnan Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode and Docker support. ML model development often involves slow iteration cycles as developers switch between coding, training, and deployment. Each… Read More »Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support Shweta Singh AWS Machine Learning Blog

[[{“value”:” We introduced Amazon Bedrock to the world a little over a year ago, delivering an entirely new way to build generative artificial intelligence (AI) applications. With the broadest selection of first- and third-party foundation models (FMs) as well as user-friendly capabilities, Amazon Bedrock is… Read More »Significant new capabilities make it easier to use Amazon Bedrock to build and scale generative AI applications – and achieve impressive results Swami Sivasubramanian AWS Machine Learning Blog