I am wired to constantly ask “what’s next?” Sometimes, the answer is: “more of the same.” That came to mind when a friend raised a point about emerging technology’s fractal nature. Across one story arc, they said, we often see several structural evolutions—smaller-scale versions of… Read More »Structural Evolutions in Data Q McCallum AI & ML – Radar
Neuromorphic computing is inspired by the human brain’s structure and function. A neuromorphic chip is a device that uses physical artificial neurons to do computations. Unlike conventional digital processors, these chips are designed to carry out artificial intelligence (AI) and machine learning (ML) activities… Read More »Researchers from Eindhoven and Northwestern University have Developed a New Neuromorphic Biosensor Capable of On-Chip Learning that doesn’t need External Training Rachit Ranjan Artificial Intelligence Category – MarkTechPost
We live in a world full of motion, from the subtle movements of our bodies to the large-scale movements of the earth. However, many of these motions are too small to be seen with the naked eye. Computer vision techniques can be used to… Read More »Magnifying the Invisible: This Artificial Intelligence AI Method Uses NeRFs for Visualizing Subtle Motions in 3D Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost
Large Language model applications have witnessed a surge in popularity. With their amazing capabilities, they are becoming increasingly sophisticated. By incorporating features like tool usage tracking and retrieval augmentation, these models are seeking a lot of attention in the Artificial Intelligence community. The existing… Read More »Researchers from the University of Pennsylvania Introduce Kani: A Lightweight, Flexible, and Model-Agnostic Open-Source AI Framework for Building Language Model Applications Tanya Malhotra Artificial Intelligence Category – MarkTechPost
In an era marked by the rapid advancement of artificial intelligence (AI) technologies, the issues of transparency, ethics, and accessibility have taken center stage. While AI solutions have undoubtedly propelled the field forward, there remains a critical need to address issues related to fairness… Read More »Fujitsu and the Linux Foundation Launch Fujitsu’s Automated Machine Learning and AI Fairness Technologies: Pioneering Transparency, Ethics, and Accessibility Niharika Singh Artificial Intelligence Category – MarkTechPost
One of computer vision’s most challenging and critical tasks is instance segmentation. The ability to precisely delineate and categorize objects within images or 3D point clouds is fundamental to various applications, from autonomous driving to medical image analysis. Over the years, tremendous progress has… Read More »CMU Researchers Propose Test-Time Adaptation with Slot-Centric Models (Slot-TTA): A Semi-Supervised Model Equipped with a Slot-Centric Bottleneck that Jointly Segments and Reconstructs Scenes Madhur Garg Artificial Intelligence Category – MarkTechPost
We’ve released a catalogue of ‘missense’ mutations where researchers can learn more about what effect they may have. Missense variants are genetic mutations that can affect the function of human proteins. In some cases, they can lead to diseases such as cystic fibrosis, sickle-cell anaemia,… Read More »A catalogue of genetic mutations to help pinpoint the cause of diseases DeepMind Blog
People often need to attend a photo studio, followed by an expensive and time-consuming picture editing procedure, to produce high-quality portrait photographs suited for resumes or wedding celebrations. Imagine a situation where you could get high-quality portrait shots in particular styles, like passport or… Read More »This AI Research from Korea Introduces MagiCapture: A Personalization Method for Integrating Subject and Style Concepts to Generate High-Resolution Portrait Images Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need for distributed ML, where multiple machines are used to train a single model. Although this enables parallelization of tasks across… Read More »Orchestrate Ray-based machine learning workflows using Amazon SageMaker Raju Rangan AWS Machine Learning Blog
This post is co-authored with Richard Alexander and Mark Hallows from Arup. Arup is a global collective of designers, consultants, and experts dedicated to sustainable development. Data underpins Arup consultancy for clients with world-class collection and analysis providing insight to make an impact. The… Read More »Designing resilient cities at Arup using Amazon SageMaker geospatial capabilities Richard Alexander AWS Machine Learning Blog