What Can We Help You Find?

The OpenVINO Generative AI White Paper explores how Intel’s OpenVINO toolkit enhances the performance of Generative AI models on Intel hardware, including CPUs, iGPUs, and dGPUs. It focuses on model optimization techniques such as INT8 and INT4 quantization, weight compression, and post-training optimizations, enabling efficient AI inference.

Join Antonio Martinez as he provides an in-depth exploration of Artificial Intelligence (AI) and computer vision (CV) in this engaging training course. You'll dive into a hands-on session with Intel® Distribution of OpenVINO™ Toolkit and learn how to help solve real-world problems like improving self-checkout stations using AI and CV. It features real-time demos, including an automated self-checkout use case, providing practical insights into solving real-world problems with AI and... Read more

Addverb's AI control assistant reorients AGVs by translating requests from warehouse workers into AGV commands. Intel® architecture-based server from Supermicro provides edge AI processing.

Join Paul Zyskowski in this training module as we explore how Artificial Intelligence is transforming the retail industry. Discover the significant impact AI has on sales and profit growth, learn about the various AI technologies, such as machine learning and deep learning, and understand their applications in retail. This course will guide you through the strategies for implementing AI, from choosing the right models and frameworks to deploying and refining AI systems.

The application of computer vision in the retail vertical is bringing new opportunities to redefine processes, increase automation, create new efficiencies and build new business models. This training program offers practical guidance on the choice and use of Intel hardware and optimized software when deploying AI based applications at scale. The training is based on Intel's opensource reference implementation of the AI enabled checkout framework that is used to develop AI enabled... Read more

In an era where operational efficiency and early anomaly detection are paramount, traditional AI approaches often fall short due to their dependency on supervised learning and the need for extensive labeled data. Enter Amber, Boon Logic’s flagship product powered by the cutting-edge Nano algorithm. This unsupervised machine learning solution redefines anomaly detection by learning the normal operating states of machines and processes in real-time, without the need for pre-labeled... Read more

INOS software uses AI to achieve best network cell coverage and capacity. POC test using 4th Gen Intel® Xeon® Scalable processor-based servers reduced model training time from 24 hours to 54 minutes.

Samsung Medison’s NerveTrack™ is an innovative ultrasound feature used to identify nerve structures in real time during the application of anesthesia. Training of NerveTrack™’s deep learning inference models requires thousands of annotated ultrasound reference images. The image annotation process is best performed by doctors with years of medical training and experience in identifying the small, elusive nerve structures. To improve the annotation and modeling workflow and... Read more

ASRock Industrial’s AI LLM Fine-Tuning Kits feature the iEPF-10000S and iEPF-9030S Series edge training servers, powered by 13th and 14th Gen Intel® Core processors, along with advanced AI fine-tuning LLM technologies.

Join us to understand how Kamiwaza's state-of-the-art AI engine powered by Xeon and Gaudi drive our mission of  helping enterprises achieve 1 trillion inferences a day as they enter the 5th Industrial Revolution.  24/7 Autonomous Agents: Discover how always-running AI agents can manage complex workflows, ensuring seamless operations and continuous productivity. Operationalizing AI: Unlike traditional model training, this webinar focuses on the real-world application of AI,... Read more