AI’s Impact on the Automotive Industry | Panel Discussion
Watch a power-packed panel discussion among industry thought leaders on the impact of AI on the Automotive industry at the IESA AI Summit.
Perception AI at the Edge | Tech Talk
Listen in to Ignitarium’s VP - AI & Cloud, Pradeep Sukumaran, as he delivers his keynote address at the IESA AI Summit 2022.
A Hands-on Guide to Backend Performance Optimization of a SaaS platform for scalable AI workloads 
This article contains a more detailed treatment of backend performance optimisation considerations in platforms targeted to handle scalable AI workloads. A brief introduction of the same can be found in our blog on Use of Celery in Serverless systems for scaling AI workloads.  The platform referenced is Ignitarium’s TYQ-i® SaaS Platform (TSP), a serverless architecture …

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Ignitarium opens a new office in Bengaluru
Ignitarium announced the opening of its new 8,000 sq ft office in Bengaluru, its second in the city. The 100-seater office, housed in an Indiqube building is located in the Koramangala suburb of Bengaluru. Along with modern design and utilities, the space offers collaborative spaces and casual hangouts for teams.
AI in Robotics and Industrial Automation | Tech Talk
Watch the keynote address delivered by Dr. Roshy John, Strategic Consultant - Robotics & AI, Ignitarium at the IESA AI Summit 2022.
Cobots and Vision Pose estimation for pick and stow operations
Cobots and Vision: Pose estimation for pick and stow operations
Collaborative robots or cobots are being adopted in large fulfillment centers to streamline logistics with the intent to improve efficiency right from the stage of procurement to last-mile delivery. As the global collaborative robot market is forecasted to grow at a Compound Annual Growth Rate (CAGR) of 60% by 2030 [3], cobots are paving the way for collaborative, safe and productive warehouse automation.
In conversation with Pradeep Sukumaran, VP – AI and Cloud Software | Podcast
In this podcast by Analytics India Magazine (AIM), explore truths like why nobody wants to be seen outside of AI today; why Ignitarium doesn't throw AI at all problems; AI misconceptions and Ignitarium's AI / Deep Learning dive 6 years ago and our journey thenceforth!
Intelligent clock calibration based TDM for multi-FPGA emulation
SoC re-spins can mostly be attributed to functional errors that are introduced during the RTL coding phase of the design process. Hardware simulations lower the risk of such design errors. However, given the increased size and complexity of designs, simulations are slow and often do not provide enough coverage to ensure the design is bug …

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TensorFlow Serving of AI models with Celery Workers featured image
TensorFlow Serving of AI models with Celery Workers  
As AI applications proliferate across industries, it is important to develop strategies to deploy these applications with high performance and at scale. With the help of Python, Celery and TensorFlow Serving, it is possible to easily deploy Machine Learning models as well as send tasks asynchronously to multiple workers using the Celery task queueing mechanism. 
Telecom tower in the distance
Deep Learning-based Defect Detection in Telecom Towers
Telecom towers are considered critical infrastructure for ensuring nation-wide communications. Telecom Service Providers rely on these towers for hosting their antennas, power modules and other communication components. To ensure uninterrupted communication services

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