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In the current era of digital revolution, there is a growing demand for high capacity, high bandwidth, low cost, error free, low power semiconductor memories that occupies minimal area. The existing memory types and technologies are being improved further and new types and technologies are being introduced.
Object detection is a task in computer vision, which requires the algorithm to predict a bounding box with a class label for each Region of Interest (ROI) in an image. Anchor-based detector have ruled this space for a long time. Recently, anchor-free detectors have started to overtake anchor-based detectors due to their lower computational complexity and efficient detections.
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
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.
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 …
Intelligent clock calibration based TDM for multi-FPGA emulation Read More »
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.
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 …
YouTube undoubtedly is the leading video streaming platform, and with the advent of new technologies from sensor, semiconductors and broadcasting technologies, the quality of video keeps improving manyfold.
Modern SaaS deployments rely on Serverless computing, allowing software components to be scaled easily with very little management overhead. AI workload execution has also started relying heavily on this technology to allow training or serving of ML models for a variety of applications. During model serving, software components like AI models, preprocessing and postprocessing can …
Use of Celery in Serverless systems for scaling AI workloads Read More »
The input to image stitching is a pair of images which are treated as Train image and Query image. These two images will undergo a Registration process, which involves identifying features from the individual images. This process of image registration uses popular techniques like SIFT, ORB etc., which have been embedded in OpenCV libraries.
AI is increasingly becoming a part of our everyday lives, across different domains. Have you ever thought about the possibility of a custom driver and passenger experience based on your unique and personal needs? Will AI eliminate the need for us to drive altogether? Would it provide a convenient alternative to all our ‘on road woes’?
This article describes a complete embedded vision system that enables automatic measurement of analog meters. Specific use cases include analog meters installed at weigh bridges, gas plants...
Warehouse automation technology is evolving rapidly, and AMRs (Autonomous Mobile Robots) are taking the front row to build Smart Manufacturing facilities. Industry analysts project the market for warehouse automation technology will double in size from 2021 to 2026*. More and more material handling tasks are being managed by robots as the industry is heavily investing …
All industrial work on factory floors was previously done by humans, which was a good enough strategy at a time when the necessity could be met with human speed. However, because of the exponential increase in daily output, the industry’s demand for robots is at an all-time high. Specifically, cobots i.e., robots that work alongside humans to enhance …
A fall detection system can be defined as an assistive mechanism whose main objective is to generate an alert when a fall event has occurred. There are many cases of train tragedies in which people fall from running trains or from railway platforms. Such an uncontrolled fall can result in critical injuries and can even …
Fall Detection & Warning System using Geofencing for Rail Passenger Safety Read More »
Simultaneous Localization and Mapping (SLAM) has always been a hot topic in robotics and related fields. Exceptionally reliable technologies and solutions have...
Early power analysis in System-on-chip (SoC) design is a hot topic today. The power budget of electronic devices is decreasing every day even though area and complexity are increasing. The situation is the same for wired and wireless devices. A wireless device cannot afford to have higher power simply because that will increase the battery consumption, whereas …
PowerBots in PowerArtist for Early-Power Analysis and Reduction: An Introduction Read More »
This blog is to stress the importance of MLOps in the ML project lifecycle, assert the necessity of MLOps in the context of the entire Software industry, explain its relevance within the context of DevOps, and how the changing Software development environment and processes help the ascend towards the peak of the Digital Revolution. MLOps …
