In this post, I'll show you how to build an AI-powered, searchable video archive using machine learning and Google Cloud–no experience required. One of my favorite apps ever is definitely Google Photos. In addition to backing up my precious pics to the cloud, it also makes all of my photos and videos searchable using machine learning. So if I type "pool" in the Photos app, it returns all everything it recognizes as a pool: This is all well and good if you just want to use somebody else's software. But on this website, we build our own PCs, store our own encryption keys, churn our own butter, and build our own Google Photos Videos app.

What are some of the most recent developments in AI? With so many emerging applications for artificial intelligence making a splash across a wide range of industries, it can be difficult to keep up. This post will touch on some cool advances made in 2019 and look at what's on the horizon. Robotics is a prime area of development for the AI community so it's no surprise that there are plenty of start-ups conducting research with the intention of taking the field further. Seattle company Olis Robotics caught the attention of GeekWire earlier this year with a solution designed to take robotics not just to the next level, but somewhere else entirely.

Researchers at the University of Oxford have developed artificial intelligence software able to tell the difference between individual chimpanzees in the wild. As an endangered species, keeping track of the movement, social lives and behaviour of chimpanzees is important for researchers and conservationists. Dan Schofield, researcher and DPhil student at Oxford University's Primate Models Lab, School of Anthropology explains why this is key for research: "For species like chimpanzees, which have complex social lives and live for many years, getting snapshots of their behaviour from short-term field research can only tell us so much. By harnessing the power of machine learning to unlock large video archives, it makes it feasible to measure behaviour over the long term, for example observing how the social interactions of a group change over several generations." This novel use of facial recognition saw the software trained using more than 10 million images from Kyoto University's Primate Research Institute.

'For species like chimpanzees, which have complex social lives and live for many years, getting snapshots of their behaviour from short-term field research can only tell us so much,' says Dan Schofield, researcher and DPhil student at Oxford University's Primate Models Lab, School of Anthropology. 'By harnessing the power of machine learning to unlock large video archives, it makes it feasible to measure behaviour over the long term, for example observing how the social interactions of a group change over several generations.' The computer model was trained using over 10 million images from Kyoto University's Primate Research Institute (PRI) video archive of wild chimpanzees in Guinea, West Africa. The new software is the first to continuously track and recognise individuals in a wide range of poses, performing with high accuracy in difficult conditions such as low lighting, poor image quality and motion blur. 'Access to this large video archive has allowed us to use cutting edge deep neural networks to train models at a scale that was previously not possible,' says Arsha Nagrani, co-author of the study and DPhil student at the Department of Engineering Science, University of Oxford.

Scientists at the University of Oxford have developed new artificial intelligence software to recognise and track the faces of individual chimpanzees in the wild. The new software will allow researchers and wildlife conservationists to significantly cut back on time and resources spent analysing video footage, according to the new paper published today in Science Advances. "For species like chimpanzees, which have complex social lives and live for many years, getting snapshots of their behaviour from short-term field research can only tell us so much," says Dan Schofield, researcher and DPhil student at Oxford University's Primate Models Lab, School of Anthropology. "By harnessing the power of machine learning to unlock large video archives, it makes it feasible to measure behaviour over the long term, for example observing how the social interactions of a group change over several generations." The computer model was trained using over 10 million images from Kyoto University's Primate Research Institute (PRI) video archive of wild chimpanzees in Guinea, West Africa.

NASA is forever linked to space, a plucky government agency bravely hurtling people and robots into the great beyond. Yet the agency has always had as much of an earth-bound mission as an outer space one. The "Aeronautics" at NASA may get short shrift, but with 300 videos of archival aviation tests released online this week, there's plenty of airborne excitement waiting for viewers. There are drop tests of the X-1, the first plane to break the speed of sound in level flight.