Joint-Embedding Predictive Architectures (JEPAs) are a family of models that learn by predicting high-level features rather than pixels. They unify image-based learning (I-JEPA), video-based learning (V-JEPA), and general predictive world models for autonomous agents. If you zoom out a bit, modern self‑supervised vision methods mostly fall into two categories: Invariance-based : given two augmented views of the same image, force the encoder to produce almost identical embeddi

Every AI app wiring directly to multiple tools using multiple integrations lead brittle prompts and duplicated glue code. Here comes a solution - MCP (Model Context Protocol) , a standard client–server contract . Each Host  ships one MCP Client and each capability lives behind an MCP Server . New pairings require zero new glue . It insures safer tool use, portable integrations, and faster iteration. MCP Overview An architecture diagram depicting the infrastructure prior to M

TP53 is a critical tumor-suppressor gene, plays a pivotal role in preventing cancer. Mutations in TP53 are linked to over 50% of human cancers, making it crucial for precision oncology. This research uses advanced computational techniques and machine learning models to analyze TP53 mutations, providing insights into their impact and aiding in the development of targeted therapies. Infographic detailing the effects of mutant p53 on cancer progression, highlighting impacts such

What is Generative AI ? Generative AI is a class of artificial intelligence systems that can create new content. This can include text, images, music, and other types of data.  Key Ideas of Generative AI Creating New Stuff: Think of generative AI as an incredibly smart and creative tool. It can write stories, draw pictures, compose music, and even design new products. It’s like having an artist, writer, and inventor all rolled into one, powered by a computer. Learning from Ex

Spiking Neural Networks (SNNs) are a major shift in artificial intelligence as they draw inspiration from the critical biological processes in the human brain. As opposed to traditional artificial neural networks (ANNs) which rely on continuous signals and static activation functions (sigmoid, ReLU), SNNs employ discrete, event-driven spikes to transmit information. They are the next frontier in AI in terms of efficiency, functionality, and adaptability.  What are ANNs? Befor

Introduction Indoor localization is a crucial technology for navigation where GPS systems fall short, such as in large buildings or complex indoor environments. This blog post explores a novel approach that proposes use of ARKit and advanced image processing algorithms to accurately detect walls and planes, ensuring precise localization. This technology is particularly beneficial for applications like assisting visually impaired individuals, guiding emergency responders, or n

Introduction Autism Spectrum Disorder (ASD) presents unique challenges in diagnosis and monitoring due to its diverse manifestations. Traditional methods often rely on behavioral observations and interviews, which may not capture the full spectrum of symptoms. Enter GeminiCare , an advanced Multimodal Autism Monitoring & Analysis System powered by Gemini AI, designed to assist medical professionals in diagnosing and monitoring autistic patients more efficiently and accurately

Dream Reconstruction using Morse Code-based Prediction Algorithm and Generative AI | by Srijon Mandal | Sep, 2024 | Medium Reconstruction of Dream using Morse Code-based Prediction Algorithm Advanced Brain Signal Analysis for Thought Translation, Dream Conversion, and Emotion Detection in Neurological Treatment Introduction Dreams are one of the most enigmatic aspects of human consciousness, and reconstructing them has long fascinated neuroscientists and technologists alike.

What is Generative AI ? Generative AI is a class of artificial intelligence systems that can create new content. This can include text, images, music, and other types of data.  Key Ideas of Generative AI Creating New Stuff: Think of generative AI as an incredibly smart and creative tool. It can write stories, draw pictures, compose music, and even design new products. It’s like having an artist, writer, and inventor all rolled into one, powered by a computer. Learning from Ex