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"Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence."

ConvNetJS is a Javascript library for training Deep Learning models (mainly Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.

MIT researcher Deb Roy wanted to understand how his infant son learned language -- so he wired up his house with videocameras to catch every moment (with exceptions) of his son's life, then parsed 90,000 hours of home video to watch "gaaaa" slowly turn into "water." Astonishing, data-rich research with deep implications for how we learn.

"We are a machine intelligence team focused on deep learning. We advance the state of the art in order to have a positive impact on the world."

"TEXT ANALYSIS Two million news articles are published every day. Someone's probably talking about you. We track media in real time, and measure it for emotional bias. "

The OpenCourseWare Consortium is a collaboration of higher education institutions and associated organizations from around the world creating a broad and deep body of open educational content using a shared model.

James Newhard is Director of Archaeology at the College of Charleston, where he works to bring 3D imaging, mobile technology and geographic information systems to a field more popularly associated with shovels and dusty brushes. Gizmodo got in touch with Dr. Newhard to learn how he uses emerging tech to dig deep into ancient societies.

In the past 30 years, a scientific revolution has completely transformed our understanding of babies and young children. Babies both know more and learn more than we would ever have thought possible, and we have recently begun to grasp the mechanisms by which they do this. I wrote The Philosophical Baby to try to show that thinking about childhood can help us answer deep questions about truth, imagination, love, consciousness, identity and morality. Without exaggeration, I believe it can tell us how we came to be human.

"Scene recognition is one of the hallmark tasks of computer vision, allowing defining a context for object recognition. Here we introduce a new scene-centric database called Places, with 205 scene categories and 2.5 millions of images with a category label. Using convolutional neural network (CNN), we learn deep scene features for scene recognition tasks, and establish new state-of-the-art performances on scene-centric benchmarks. Here we provide the Places Database and the trained CNNs for academic research and education purposes."

"Torch is a scientific computing framework with wide support for machine learning algorithms. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation."

"Take Control of Your AI Conversations Across ChatGPT, Claude, and Gemini! Search, organize, and summarize your AI interactions seamlessly-all in one powerful tool designed to save you time and boost your productivity."