Caffe2: Portable High-Performance Deep Learning Framework from Facebook

Features, Caffe, Caffe2, Computer Vision, Deep Learning

Nadeem Mohammad, posted Apr 19 2017

Yesterday Facebook launched Caffe2, an open-source deep learning framework made with expression, speed, and modularity in mind. It is a major redesign of Caffe: it inherits a lot of Caffe’s design while addressing the bottlenecks observed in the use and deployment of Caffe over the years. As a result, Caffe2 opens the gate for algorithm experimentation […]

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Emotional Chatting Chatbot

Research, cuDNN, GeForce, Higher Education / Academia, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Apr 14 2017

Computers lack empathy, but researchers from China are looking to change that with their deep learning-based chatbot capable of assessing the emotional content of a conversation and responding accordingly. The work opens the door to a new generation of chatbots that are emotionally aware. “To the best of our knowledge, this is the first work

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Satellite Images Help Track a Vehicle

Research, Automotive, CUDA, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Apr 12 2017

Researchers from the Toyota Technological Institute at Chicago (TTIC) and Carnegie Mellon University developed a deep learning-based method that locates a ground vehicle by using satellite imagery as the only prior knowledge of the environment. Knowing the exact location of a vehicle is critical for autonomous cars, and currently GPS systems are being used which

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Automatically Identify Wild Animals in Camera-Trap Images

News, CUDA, cuDNN, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Apr 11 2017

A research team led by University of Wyoming developed a deep learning-based system to identify species in the Serengeti National Park in Tanzania that could make it easier for ecologists to track animals in the wild. Camera traps automatically take pictures of passing animals when triggered by heat and motion which produce millions of images

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Recursive Neural Networks with PyTorch

Features, Deep Learning, LSTM, Natural Language Processing, Python, PyTorch, Torch

Nadeem Mohammad, posted Apr 09 2017

From Siri to Google Translate, deep neural networks have enabled breakthroughs in machine understanding of natural language. Most of these models treat language as a flat sequence of words or characters, and use a kind of model called a recurrent neural network (RNN) to process this sequence. But many linguists think that language is best […]

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