theme-sticky-logo-alt
Please assign a Header Menu.
Machine Learning
Transcosmos Wins AWS AI Skills Champion Award at AWS re:Invent 2024
Transcosmos Inc., in collaboration with its strategic subsidiary, Transcosmos Digital Technology Inc., has been honored with the prestigious Asia Pacific Japan Amazon Web Services (AWS) AI Skills Champion Award at AWS re:Invent 2024. Held in Las Vegas, Nevada, from December 2 to 6, this recognition establishes Transcosmos as a leader in advancing AI skills across the region. Read More
Multiverse Computing Launches Singularity ML on IBM’s Qiskit Functions
Multiverse Computing, a leader in quantum AI software, has launched Singularity Machine Learning - Classification within IBM's Qiskit Functions Catalog. This new cloud service allows developers, researchers, and data scientists to train and run AI models using quantum machine learning (QML) with ease, accelerating the development of quantum solutions for various industries. Read More
BobiHealth Secures Patent for AI-Driven Maternal Health App Security
BobiHealth has secured patent protection for its revolutionary method of ensuring data and model security in its AI-driven app designed to monitor and alert expectant mothers. The newly granted patent (S 12,093,400 Bl) safeguards BobiHealth's innovative techniques to detect and prevent malicious content from influencing the company's AI models, ensuring that expectant mothers receive secure, accurate, and reliable health insights. Read More
SiMa.ai Brings Palette Edgematic to AWS Marketplace to Accelerate Edge AI Development
SiMa.ai, a leader in embedded edge machine learning systems-on-chip (MLSoC), has announced the availability of Palette Edgematic on the AWS Marketplace. This new offering allows machine learning (ML) developers to easily evaluate, deploy, and manage ML models and applications on SiMa.ai’s MLSoC devices, all hosted on the cloud. With this launch, SiMa.ai expands its ONE Platform for Edge AI, providing an accessible, scalable solution for edge AI development. Read More
Redgate Introduces AI & ML-Powered Features for Test Data Management and Database Monitoring
Redgate, a leading provider of end-to-end Database DevOps solutions, has announced the addition of two new AI and ML-powered capabilities in its database management suite. These advancements aim to enhance test data management and database monitoring, offering data professionals more efficient and secure solutions to tackle their increasingly complex workloads. Read More
Parasoft Enhances Software Testing with New AI and ML Features
Parasoft, a leader in AI-powered software testing, is making significant strides in integrating AI and machine learning (ML) quality enhancements where development teams need them most. By utilizing natural language for troubleshooting and real-time code checks, Parasoft aims to address the quality risks faced by developers and testers under the pressures of product release cycles. Read More
Verax AI Secures $7.6 Million Funding and Launches Verax Control Center
Verax AI, a developer of enterprise-grade software solutions that enhance visibility and control over AI in production, has announced the successful closure of $7.6 million in seed funding. The funding round was led by TQ Ventures, with participation from Concept Ventures, Cardumen Capital, Seedcamp, InMotion Ventures, and XTX Ventures. Read More
PhaseV Welcomes Hamza Sheikh as Head of Business Development
PhaseV, a leader in software and machine learning (ML) for clinical trial optimization, has appointed Hamza Sheikh as its new Head of Business Development. This strategic appointment comes at a crucial time as the company experiences growing global interest in its technology, which leverages causal ML to extract actionable insights from clinical data and design advanced adaptive clinical trials, ultimately improving both efficiency and success rates. Read More
MinIO Enhances Arm-Based Storage Performance for AI Workloads
MinIO, a leader in high-performance storage for AI, has announced new optimizations and benchmarks for Arm®-based chipsets in its object store. These enhancements highlight the significance of low-power, computationally dense chips for AI-related tasks and demonstrate the Arm architecture's readiness for modern AI and data processing workloads, including erasure coding, bit rot protection, and encryption. Read More
15 49.0138 8.38624 both both 1 3000 1 0 horizontal https://www.techedgeai.com 300 true 0 1