IT News Online

Agnik International is Developing New Scalable Distributed Machine Learning Architecture for Large Language Models and Physical AI Applications

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

Key Agreement Advances AI-Driven Edge Intelligence in Defense, Autonomy

The partnership between Lantronix and Safe Pro Group reflects a broader transformation in how intelligence, security and autonomy converge at the edge. As defense and autonomous systems evolve, the ...
Central New York Business Journal

SRC to develop embedded computer capabilities in $24M Air Force pact

SRC, Inc. will use a $24 million contract to develop next-generation, embedded artificial intelligence and machine-learning ...
Frontiers

Bridging neuromorphic computing and deep learning for next-generation neural data interpretation

Neuromorphic computing seeks to emulate the structural and functional organization of the brain, enabling computational systems to operate in ways that resemble biological neural processing. Its ...
Business Wire

Cincoze’s All-New DIN-Rail Computer Powers Zero-Failure Machine Vision at the Edge

TAIPEI, Taiwan--(BUSINESS WIRE)--Rugged edge computing brand – Cincoze, has launched its new high-performance, scalable DIN-Rail computer series (MD-3000), the flagship model of the Machine Computing ...
CNX Software

Edgi-Talk machine learning development kit features Infineon PSOC Edge E84 Edge AI SoC (Crowdfunding)

Edgi-Talk is a machine learning platform/development kit powered by an Infineon PSOC Edge E84 Arm Cortex-M55/M33 SoC featuring Arm Helium, an Arm Ethos-U55 micro NPU, and an ultra-low-power NNLite ...
IEEE

Cost-Efficient and Secure Federated Learning for Edge Computing

Abstract: Due to the collaborative machine learning nature of Federated Learning (FL), it enables the training of machine learning models on large-scale distributed datasets in edge computing ...
Semiconductor Engineering

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
Morningstar

ASUS Unveils Cutting-Edge Innovation at Embedded World 2025 with Intel Based Solution

ANAHEIM, Calif., Nov. 5, 2025 /PRNewswire/ -- ASUS announced its participation at Embedded World North America 2025, taking place on November 4-6, 2025 at the Anaheim Convention Center. As a leader in ...
UN Spider

AI-Enabled Onboard Edge Computing for Satellite Intelligence in Disaster Management

Traditional Earth observation missions transmit large volumes of raw satellite data to ground stations before any meaningful analysis can occur. In disaster situations, this process causes delays that ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.