Artificial Intelligence
The #Transformer is a deep machine learning model introduced in 2017, used primarily in the field of natural language processing (#NLP). Like recurrent neural networks (#RNN), #Transformers are designed to handle ordered sequences of data, such as natural language, for various tasks such as machine translation and text summarization. (Src: Wikipedia)
A new transfer learning technique called BERT (short for Bidirectional Encoder Representations for Transformers) is making big waves in the NLP space. BERT excels at handling “context-heavy” language problems. For example… Bats are found in the dark places. versus Cricket Bats are going high-tech these days. Earlier, context-free models (like word2vec or GloVe) generated a […]
#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 […]
#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 […]
Region CNNs (RCNNs) and their variations such as Fast RCNN, Faster RCNN and Mask RCNNs are state-of-the-art algorithms for Object Detection in images. RCNNs detect 2000 region proposals using Selective Search, compute CNN features on each Region, and then classify each region as certain objects or not. The final layer also does bounding box regression […]