{"id":13417,"date":"2025-03-13T17:28:03","date_gmt":"2025-03-13T17:28:03","guid":{"rendered":"https:\/\/bvcoend.ac.in\/?page_id=13417"},"modified":"2025-03-13T17:31:23","modified_gmt":"2025-03-13T17:31:23","slug":"additional-facility","status":"publish","type":"page","link":"https:\/\/bvcoend.ac.in\/index.php\/additional-facility\/","title":{"rendered":"Additional Facility"},"content":{"rendered":"[vc_row][vc_column width=”1\/4″][vc_wp_custommenu title=”Imp Links” nav_menu=”67″][\/vc_column][vc_column width=”3\/4″][vc_tta_tabs color=”juicy-pink” active_section=”1″ no_fill_content_area=”true”][vc_tta_section title=”Intel Unnati AI Research Lab” tab_id=”1741886588350-98e8b465-6123″][vc_column_text]\n

Intel Unnati AI Lab<\/strong><\/span><\/h4>\n

\"\"Introduction<\/strong><\/span><\/p>\n

The Intel Unnati Artificial Intelligence , Gen AI , and Security Lab is a premier research facility focused on advancing the field of Artificial Intelligence (AI) and its applications. The lab conducts cutting-edge research in areas such as machine learning, computer vision, natural language processing, and edge AI, with a goal of developing innovative solutions that can positively impact society. It is enabled with high-performance computing infrastructure, specialized AI hardware, collaboration spaces, and access to large datasets and software tools.<\/span><\/p>\n

Objective of the Laboratory<\/strong><\/span><\/p>\n

    \n
  1. Advance AI Research<\/strong>: Develop cutting-edge solutions in machine learning, computer vision, NLP, and edge AI.<\/span><\/li>\n
  2. Foster Industry Collaboration<\/strong>: Partner with industry and research organizations for AI-driven innovations.<\/span><\/li>\n
  3. Enhance Skill Development<\/strong>: Train students and faculty on AI tools like Intel\u00ae oneAPI, OpenVINO\u2122, and deep learning frameworks.<\/span><\/li>\n
  4. Leverage High-Performance Computing<\/strong>: Utilize Intel\u00ae Xeon\u00ae processors and AI accelerators for optimized AI workloads.<\/span><\/li>\n
  5. Drive Societal Impact<\/strong>: Develop AI applications in healthcare, security, smart cities, and sustainability.<\/span><\/li>\n
  6. Support Student Projects<\/strong>: Encourage AI research and enhance the quality of student projects.<\/span><\/li>\n<\/ol>\n

    The lab serves as a center of excellence<\/strong>, bridging academia, research, and industry to foster AI innovation.<\/span><\/p>\n

    Facilities<\/strong><\/span><\/p>\n

    The lab is configured for 35 concurrent users. The lab includes following GPU Node configuration:\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n

      \n
    1. GPU Node : 2U dual socket Server Solution<\/strong> \u20135h<\/sup> generation 6530 :<\/span><\/li>\n<\/ol>\n
        \n
      • \n
          \n
        • Ubuntu* 18.04<\/span><\/li>\n
        • Intel\u00ae oneAPI Base Toolkit<\/span><\/li>\n
        • Intel\u00ae AI Analytics Toolkit<\/span><\/li>\n
        • Horovod* + Intel\u00ae MPI (for distributed DL training with TensorFlow*)<\/span><\/li>\n
        • Intel\u00ae Extension for PyTorch* (IPEX)<\/span><\/li>\n
        • Intel\u00ae Distribution of OpenVINOTM Toolkit<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
            \n
          1. Login + Storage Server 5th Gen. Intel\u00ae Xeon\u00ae4510Y<\/span><\/li>\n
          2. 16- port unmanaged Gigabit Ethernet Switch + patch cables + power cables + server Rack along with standard accessories OpenVinoTM labs will be run on Intel\u00ae DevCloud for the Edge.\u00a0<\/strong><\/span><\/li>\n<\/ol>\n

            People<\/strong><\/span><\/p>\n

              \n
            • Faculty Coordinator: Dr. Gargi Mishra<\/span><\/li>\n
            • Lab Technician: Mr. Prateek Bhatia<\/span><\/li>\n<\/ul>\n[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Embedded Edge AI Research Lab” tab_id=”1741886588358-b3419614-4761″][vc_column_text]\n

              STMicroelectronics<\/strong> Embedded Edge Artificial Intelligence Lab<\/strong><\/span><\/h4>\n

              \"\"Introduction<\/strong><\/span><\/p>\n

              Designed in collaboration with STMicroelectronics, this lab brings the latest technological advancements in the field of AI & Machine Learning from the industry to the university ecosystem, with an aim to solve complex engineering problems using smart AI enabled Microcontrollers.<\/span><\/p>\n

              The lab provides hands-on working experience on embedded software development for AI applications, sensor fusion, real time sensor data logging, AI model generation, supervised & unsupervised machine learning, anomaly detection for predictive maintenance, fraud detection, security and classification applications.<\/span><\/p>\n

              Objective of the Laboratory<\/strong><\/span><\/p>\n

              Solve Real World Engineering Problems<\/strong><\/span><\/p>\n

              Learn how to structure data from sensors, design data logger, feature extraction, sensor signal processing<\/span><\/p>\n

              Design ML models to analyse real time sensor data patterns for vibration, motion, temperature, sound, pressure, current, etc.<\/span><\/p>\n

              Test and validate your model without depending on any Cloud Services<\/span><\/p>\n

              Deploy the model on a STM32 Microcontroller and integrate with the designed embedded software, train & detect data patterns on the device itself<\/span><\/p>\n

              Integrate your solution with an IoT development platform and solve complex engineering problems<\/span><\/p>\n

               <\/p>\n

              Facilities<\/strong><\/span><\/p>\n

              Hands on Courseware to Learn & Create<\/strong><\/span><\/p>\n

              Stepwise Lab Experiments, including guided lab manual, use-cases featuring concepts about AI model generation, sensor interfaces, sensor data structure, data logger, 5 End to End Embedded AI Projects with fully functional codes, video tutorial, Full Licensed EDU Version of NanoEdge AI STUDIO (10\u00a0 Users for 3 years), AI + IoT enabled STM32 ARM Cortex M4 Development kits (10), STM32Cube Integrated Development Environment, ARM Mbed Studio, High Quality Industrial Sensors (Motion & Vibration, Audio, Light, Temperature & Humidity, Ultrasonic-10 each), Interfaces & Accessories\u2639LCD Unit, Micro SD Card, Connecting Wires, USB Cables)<\/span><\/p>\n

              People<\/strong><\/span><\/p>\n

                \n
              • Faculty Coordinator: Dr. Jolly Parikh<\/span><\/li>\n
              • Other Faculty Users: Ms. Deepika Yadav<\/span><\/li>\n
              • Lab Technician: Ms. Yashoda Rani<\/span><\/li>\n<\/ul>\n[\/vc_column_text][\/vc_tta_section][\/vc_tta_tabs][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

                [vc_row][vc_column width=”1\/4″][vc_wp_custommenu title=”Imp Links” nav_menu=”67″][\/vc_column][vc_column width=”3\/4″][vc_tta_tabs color=”juicy-pink” active_section=”1″ no_fill_content_area=”true”][vc_tta_section title=”Intel Unnati AI Research Lab” tab_id=”1741886588350-98e8b465-6123″][vc_column_text] Intel Unnati AI Lab Introduction The Intel Unnati Artificial Intelligence , Gen AI , and Security Lab is a premier research facility focused on advancing the field of Artificial Intelligence (AI) and its applications. The lab conducts cutting-edge research in…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/13417"}],"collection":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/comments?post=13417"}],"version-history":[{"count":3,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/13417\/revisions"}],"predecessor-version":[{"id":13422,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/13417\/revisions\/13422"}],"wp:attachment":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/media?parent=13417"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}