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Apr

Deep Learning Inference Accelerators for Edge Computing

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars #AlwaysUpskilling Minutes from Saturday 28th March 2020 AI Lab Meetup :- Last Saturday CellStrat AI Lab Researcher Darshan C G (Project Assistant, Dept. of Electronics Systems Engineering, IISc, Bengaluru) presented a superb session on Deep Learning Inference Accelerators. A Deep Neural Network (DNN) for image classification looks like this :- Inference Accelerators […]

Posted in: AI Hardware, Auto and Manufacturing, Deep Learning, Driverless Cars, IoT, Retail, Robotics,

Tags: Coral, Dynamic Tensor Memory, Inference Accelerators, Kernel Auto-Tuning, Layer Fusion, Multi-Stream Execution, Nvidia, Optimized Inference Engine, Precision Calibration, quantization, Raspberry Pi, Tensor Fusion, TensorBoard, TensorFlow Lite, TensorRT, TFLite, TFLite Converter, TFLite Interpreter, Weight Pruning,

Nov

CellStrat AI Industry Showcase – Automotive and Manufacturing – a summary

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars Last Saturday 23rd Nov 2019, we had a fabulous AI Industry Showcase on Automotive and Manufacturing Industry in Bengaluru. First there was a panel discussion with Industry Experts in Automotive sector. These experts included Nataraju Vusirikala (Head of AI Services and Engineering Group, Bosch), Sharad Bairathi (CEO, Embitel Technologies) and Anand Das […]

Posted in: Artificial Intelligence, Auto and Manufacturing, Computer Vision, Deep Learning, Driverless Cars, Machine Learning, Natural Language Processing, Reinforcement Learning, Robotics,

Tags: AI, attention, Automotive, BERT, classification, data science, fac recognition, facenet, ML, MTCNN, navigation simulation, neural networks, path planning, QAS, Regression, robotic arm, smart factory, SQuaD, training,

Nov

CellStrat AI Showcase for Automotive and Manufacturing

#CellStratAILab #disrupt4.0 #AIShowcase Artificial Intelligence is re-defining every sector in the world. This includes the Automotive and Manufacturing segments, which face incredible disruption due to AI and ML ! CellStrat AI Lab is pleased to present our signature Annual AI Showcase on “AI Innovation for Automotive and Manufacturing Industries” on Saturday 23rd November, 2019 at […]

Posted in: Auto and Manufacturing, Computer Vision, Deep Learning, Driverless Cars, Robotics,

Tags: AI lab, AI research, AI Showcase, Automotive, automotive AI, face detection, image segmentation, machine failure, manufacturing, Manufacturing AI, predictive maintenance, ques-answer model, robotic arm, robotic automation, shop floor management, talking machines, text summarization,

Aug

Meeting Minutes from AI Lab session on Saturday 3rd Aug in Bengaluru

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars CellStrat AI Lab is setting the standard for AI innovation in India ! We are India’s No 1 AI Lab ! Next stop – global AI disruption. The AI Lab meetup on 3rd Aug in Bengaluru saw deep presentations on cutting-edge AI. The day started with a superb presentation by Monisha H. […]

Posted in: Computer Vision, Deep Learning, Driverless Cars, Natural Language Processing,

Tags: 3D CNN, Computer Vision, Disrupt4.0, driverless cars, Faster RCNN, natural language processing, NLP, object detection, Ranked Retrieval, Region Proposal Network, RPN, video analytics,

Aug

Image Segmentation Workshop at ODSC India 2019

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars I, Vivek Singhal (Co-Founder & Chief Data Scientist, CellStrat), along with Shreyas J. (AI Researcher, CellStrat AI Lab) conducted a workshop on image segmentation at ODSC conference in Bengaluru on 10th Aug 2019. Our workshop was titled “Training Autonomous Driving Systems to Visualize the Road ahead for Decision Control“. The objective was […]

Posted in: Computer Vision, Deep Learning, Driverless Cars,

Tags: AI Innovation, AI lab, artificial intelligence, atrous convolutions, deep learning, deeplab, deeplab v3+, driverless cars, FCN, fully convolutional network, machine learning, Open Data Science Conference, spatial pyramid pooling, workshop,