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Emza and Alif Demonstrate Fast, Ultra-Efficient Object Detection for Tiny AI Edge Devices

Emza Visual Sense, a pioneer in Tiny AI visual sensing, is joining with Alif Semiconductor to show how the combination of powerful, highly efficient Arm®-based hardware and optimized models can make AI a reality at the edge. The companies are demonstrating Emza’s trained face detection model running on Alif’s Ensemble™ microcontroller (MCU), the first MCU featuring the Arm Ethos™-U55 microNPU. The Emza model runs an order of magnitude faster on the Ensemble device with Ethos-U55 compared to a CPU-only solution, with extremely low power consumption.

Graft™ Launches to Bring Modern AI to Everyone With $4.5 Million Pre-Seed Funding

Graft emerged from stealth to put modern AI within reach of every organization. Graft distills the AI infrastructure and workflows that top companies are converging around into an all-in-one package that is easy to use, regardless of machine learning proficiency or existing infrastructure.

Deci Launches Version 2.0 of its Deep Learning Development Platform, to Democratize the Power of NAS and Eliminate the AI Efficiency Gap 

Deci, the deep learning company harnessing AI to build AI, today launched Version 2.0 of its deep learning development platform, making it easier than ever before for AI developers to build, optimize, and deploy computer vision models on any hardware and environment including cloud, edge and mobile with outstanding accuracy and runtime performance.

insideBIGDATA Latest News – 5/11/2022

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Intel’s Habana Labs Launches Second-Generation AI Processors for Training and Inferencing

Intel announced that Habana Labs, its data center team focused on AI deep learning processor technologies, launched its second-generation deep learning processors for training and inference: Habana® Gaudi®2 and Habana® Greco™. These new processors address an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both training workloads and inference deployments in the data center while lowering the AI barrier to entry for companies of all sizes.

Heard on the Street – 5/10/2022

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

UiPath Launches Next-Gen UiPath Automation Cloud™ to Extend Automation Leadership in Latest Platform Release

UiPath (NYSE: PATH), a leading enterprise automation software company, introduced Automation Cloud Robots alongside a wealth of other powerful new capabilities as a part of the UiPath 2022.4 platform release. The new release provides enterprises with an even more comprehensive automation foundation to achieve fast and accurate outcomes.

Introducing Innodata’s New AI Data Marketplace

Innodata is excited to announce its new Innodata AI Data Marketplace – an e-commerce portal where users can purchase on-demand datasets to accelerate AI/ML model building and training. With easy access to curated, industry-leading datasets, data science teams can now overcome persistent data challenges that often hamper AI initiatives, such as volume, variety, and privacy constraints. 

Why AlOps Is the Future of Network Management?

In this special guest feature, Amit Shingala, CEO of Motadata, points out that with the vast amounts of incoming data, it can be difficult to identify and estimate all the complications. Therefore, IT organizations must evaluate the benefits of introducing AIOps for network monitoring.

Research Highlights: Transformer Feed-Forward Layers Are Key-Value Memories

In this regular column, we take a look at highlights for important research topics of the day for big data, data science, machine learning, AI and deep learning. It’s important to keep connected with the research arm of the field in order to see where we’re headed. In this edition, if you (like me) have wondered what the feed-forward layers in transformer models are actually doing, this is a pretty interesting paper on that topic. Enjoy!