Category: Machine Learning

Artificial intelligence and blockchain technology were once viewed as parallel tracks of innovation, but in April 2026, they collided to create a high-velocity economic engine known as Decentralized AI (DeAI). As Large Language Models (LLMs) require increasing amounts of power and data, the traditional centralized silos of Big Tech are facing a formidable challenger: a […]

A recently patented system suggests Disney may be considering leveraging machine learning to streamline security checks and shorten ride dispatch times. Disney researches AI system to verify passenger safety Disney has patented a new restraint check system that will ultimately help operators load and dispatch rides more efficiently by using cameras, sensors and machine learning […]

Renowned machine learning thought leaders and AI futurist keynote speakers are focused on helping organizations understand, deploy, and operate systems that learn from data to make predictions and decisions. Through conference talks, executive briefings, and technical consulting, the best machine learning thought leaders turn rapidly evolving research into practical applications that deliver measurable business value. […]

For most of the history of meteorology, wind has been the most uncooperative variable of the atmosphere. Temperature can be accurately read from a thermometer and pressure from a barometer. However, air movement itself has not been easily observed from the air for a long time. A study by researchers at the University of Arizona […]

Xebia, an AI-first global digital transformation and engineering partner, today announced the continued expansion of its enterprise-generated AI capabilities built with Claude and powered by Anthropic. Based on its first deployment earlier this year, Xebia helps organizations design and scale AI systems that are secure, managed, and customized to the specific needs of complex enterprise […]

The Sharp/van der Heijde (SvdH) method for analyzing X-ray images is the standard method for measuring joint space narrowing and bone erosion in rheumatoid arthritis and requires a well-trained reader. Recent advances in machine learning and artificial intelligence have the potential to automate SvdH scoring. In this initial study, a machine learning system called autoscoRA […]

Artificial intelligence is reshaping industries at a pace that few could have predicted. But while much of the conversation around AI focuses on large-scale language models, generative tools, and enterprise automation, some of the most meaningful applications of AI are occurring far from the boardroom: on factory floors, construction sites, and mining operations, where workers […]

TRI AI Saturday Cohort 10 is an intensive 16-week training program focused on artificial intelligence (AI), machine learning (ML), and applied research. Powered by the Google DeepMind Research Foundations curriculum, this initiative is designed to take participants from basic knowledge to developing real-world AI projects. The program is organized by Artificial Intelligence Education Research and […]

 article, we planned to tackle one of the main challenges in document summarization, i.e., handling documents that are too large for a single API request. We also explored the pitfalls of the infamous ‘Lost in the Middle’ problem and demonstrated how clustering techniques like K-means can help structure and manage the information chunks effectively. We […]

New research has demonstrated that explainable artificial intelligence (XAI) frameworks can be significantly improved. parkinson’s disease (PD) provides clinically meaningful insight into how decisions are made while providing predictions. PD is a progressive neurological disorder characterized by motor symptoms such as tremor and rigidity, and non-motor symptoms such as cognitive impairment and sleep disturbances. Early […]