This pose estimation model skillfully and effectively detects individual movements while simultaneously estimating their poses, making it ideal for real-time applications on edge devices across industries.

TEL AVIV, Israel, Nov. 7, 2023 /PRNewswire-PRWeb/ — Deci, the deep learning company harnessing AI to build AI, announced today the launch of YOLO-NAS Pose, a groundbreaking pose estimation model generated with Deci’s cutting-edge Automated Neural Architecture Construction (AutoNAC) engine, the most advanced Neural Architecture Search (NAS)-based technology on the market. This revolutionary model is redefining capabilities in the technical pose estimation domain, demonstrating unparalleled accuracy and latency performance.

Pose estimation, a computer vision technique enabling the precise determination of human or object positions in space, is a broad spectrum of sectors, including monitoring patient movements in healthcare, evaluating athletic performances, and crafting intuitive human-computer interfaces to enhance the capabilities of robotic systems. With superior latency-accuracy performance that eclipses other state-of-the-art models in the space, including YOLOv8 Pose, YOLO-NAS Pose holds the potential to transform industries, including healthcare, security, and beyond.

With four bespoke size variants (Nano, Small, Medium & Large), YOLO-NAS Pose addresses a wide range of computational needs. All four variants deliver significantly higher accuracy with similar or lower latency compared to their YOLOv8 Pose equivalent model variants. When comparing across variants, a significant boost in speed is evident. For example, the YOLO-NAS Pose M variant boasts 38% lower latency and achieves a +0.27 AP higher accuracy over YOLOV8 Pose L, measured on Intel Gen 4 Xeon CPUs. YOLO-NAS Pose excels at efficiently detecting objects while concurrently estimating their poses, making it the go-to solution for applications requiring real time insights.

“We’re excited to introduce YOLO-NAS Pose, a testament to our commitment to pushing the boundaries of AI for practical, real-world applications,” said Yonatan Geifman, CEO and Co-Founder of Deci. “Our AutoNAC technology is the powerhouse behind this advancement, allowing us to consistently craft models that not only achieve new performance heights but also unlock transformative use cases. We believe this model will be a vital asset to developers in the field of pose estimation and look forward to seeing the innovative ways in which it will be employed.”

YOLO-NAS Pose model architecture is available under an open source license. The pre-trained weights are available for non commercial use.

Deci’s new model follows the trailblazing success of YOLO-NAS, an object detection model that garnered widespread acclaim. Released earlier this year, the YOLO-NAS model took the developer community by storm, with fantastic applications of the technology shared across the board. Alongside YOLO-NAS, Deci’s AutoNAC has generated some of the world’s most efficient computer vision and Generative AI models such as DeciCoder, DeciLM 6B, DeciDiffusion, and many others. In the case of YOLO-NAS Pose, AutoNAC created this foundation model featuring an innovative head design, meticulously optimized for dual objectives: locating individuals and estimating their poses.

For those keen on delving deeper into YOLO-NAS Pose or interested in requesting a demo, go to https://deci.ai/

About Deci

Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company’s deep learning development platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment including cloud, edge, and mobile, allowing them to revolutionize industries with innovative products. The platform is powered by Deci’s proprietary automated Neural Architecture Construction technology (AutoNAC), which automatically generates and optimizes deep learning models’ architecture and allows teams to accelerate inference performance, enable new use cases on limited hardware, shorten development cycles and reduce computing costs. Founded in 2019, Deci’s team of deep learning engineers and scientists are dedicated to eliminating production-related bottlenecks across the AI lifecycle.

Media Contact

Garrett Krivicich, Deci, 972 0587860008, [email protected], https://deci.ai/

SOURCE Deci

To help bring clarity to the rapidly evolving authentication landscape, EMA conducted primary research into business and end user requirements, perceptions, and outcomes in the usage of password and passwordless authentication technologies

LAFAYETTE, Colo., Nov. 7, 2023 /PRNewswire-PRWeb/ — Enterprise Management Associates (EMA), a leading IT and data management research and consulting firm, today announced it will host a research webinar titled “Transcending Passwords: Emerging Trends in Authentication,” featuring Steve Brasen, research director covering endpoint and identity management at EMA.

Despite the overreliance on unsecure and high-friction password-centric access processes, many organizations are still reluctant to let go of the aging, OS-level passwords that they have relied on for generations. Topping the concerns is the level of security posed by alternative passwordless technologies in addressing new and accelerating attack vectors such as phishing/vishing scams, keystroke logging, credential stuffing, and man-in-the-middle attacks. At the same time, modern workforces are pressuring IT and security managers by demanding unprecedented access to distributed business IT resources in ways that do not inhibit their productivity.

EMA conducted primary research into business and end user requirements, perceptions, and outcomes in the usage of password and passwordless authentication technologies to help bring clarity to the rapidly evolving authentication landscape.

During this webinar, Brasen will shed light on the research findings and discuss.

• The greatest security risks posed by the continued use of passwords
• The types of authentication technologies users prefer to use as both employees and consumers
• How to reduce time, efforts, and costs associated with managing user identities
• The amount of actual work time employees spend authenticating using modern identity and access processes and how to make them more productive
• How impactful FIDO adoption has been on improving identity security, user experiences, and manageability
• The impact of multifactor authentication on workforce productivity
• Which passwordless technologies are most effective at addressing modern and emerging business requirements

This independent research was sponsored by HYPR and Yubico.

The webinar is Thursday, November 16 at 2:00 p.m. Eastern. Registration is available at: https://info.enterprisemanagement.com/transcending-passwords-webinar-pr

About EMA
Founded in 1996, EMA is a leading IT analyst research firm that specializes in providing deep insight across the full spectrum of IT and data management technologies. EMA analysts leverage a unique combination of practical experience, insight into industry best practices and in-depth knowledge of current and planned vendor solutions to help their clients achieve their goals. Learn more about EMA research, analysis and consulting services for enterprise line of business users, IT professionals and IT vendors at http://www.enterprisemanagement.com.

Media Contact

Raleigh Gould, Enterprise Management Associates, 303-543-9500, [email protected], https://www.enterprisemanagement.com

Twitter

SOURCE Enterprise Management Associates