Category: Machine Learning

April 17, 2026 – In a soundproof room at the Naval Surface Warfare Center Philadelphia District (NSWCPD), a steel-gray air compressor hums as engineers test an experimental machine learning model designed to detect early signs of failure through vibration analysis. This effort is part of NSWCPD’s growing portfolio of artificial intelligence (AI) and machine learning […]

The latest deployment expands Gaxos’ generative AI market by driving user activity and platform momentum with expanded capabilities. Gaxos.ai Inc., a company developing artificial intelligence applications in a variety of high-growth sectors, announced the expansion of its Gaxos Labs product ecosystem with the addition of AI music generation, AI chat, and AI 3D model creation […]

introduction Over the past decade, machine learning has evolved from experimental data science projects to mission-critical enterprise workloads. However, many organizations still struggle to move away from siled notebooks and prototypes. The real challenge is not building the model, but making it operational at scale. Data scientists can create highly accurate models in a controlled […]

A unified operating system for cloud, sales, marketing, talent, delivery, and business health. Built to help organizations move faster, see more clearly, and execute with less friction. WALT Labs announced the release of Companion OS, a new executive intelligence platform designed to help organizations operate faster, more clearly, and more collaboratively in an increasingly AI-driven […]

Publisher: above From left: Adam Wechsler, data scientist in the NSWCPD Mechanical Research and Silence Division; Nate Brown, mechanical research engineer at Luna Labs. and NSWCPD machine learning engineer Colin Dingley review the vibration data. The team is testing an embedded condition-based monitoring (eCBM) system designed to […]

Video semantic search is unlocking new value across industries. The demand for video-first experiences is reshaping how organizations deliver content, and customers expect fast, accurate access to specific moments within video. For example, sports broadcasters need to surface the exact moment a player scored to deliver highlight clips to fans instantly. Studios need to find […]

Grindr is redefining trust in digital platforms by incorporating real-time, AI-driven identity verification to combat deepfakes and fraud. Grindr has deployed advanced machine learning (ML) models to neutralize the prevalence of deepfakes and synthetic profiles within its global infrastructure. This security re-architect prioritizes real-time identity verification to reduce the risk of identity theft and financial […]

This hands-on guide walks through every step of fine-tuning an Amazon Nova model with the Amazon Nova Forge SDK, from data preparation to training with data mixing to evaluation, giving you a repeatable playbook you can adapt to your own use case. This is the second part in our Nova Forge SDK series, building on […]

Physically informed neural networks (PINNs) have shown remarkable potential in solving forward and inverse problems involving partial differential equations (PDEs). However, it often stumbles when the collocation points are unevenly distributed. This is a common feature of real simulations where complex regions require denser sampling than simpler regions. In standard training, the PDE residuals of […]

People walking in Manhattan. Public domain image from Wikimedia user Elbert Hampton New Jersey Institute of Technology researchers are deploying artificial intelligence to understand how crowds and the individuals within them move around, leading to insights for applications in areas such as emergency management, pedestrian traffic planning, robotics, special effects, and even video games. Tomer […]