Competition to deploy commercial brain-computer interfaces is heating up. A microelectronic chip placed under the retina can produce vision. Science Corporation--a competitor to Neuralink founded by the former president of Elon Musk's brain-interface venture--has leapfrogged its rival after acquiring, at a fire-sale price, a vision implant that's in advanced testing,. The implant produces a form of "artificial vision" that lets some patients read text and do crosswords, according to a report published in the today . The implant is a microelectronic chip placed under the retina. Using signals from a camera mounted on a pair of glasses, the chip emits bursts of electricity in order to bypass photoreceptor cells damaged by macular degeneration, the leading cause of vision loss in elderly people.

Being able to accurately monitor the screen exposure of young children is important for research on phenomena linked to screen use such as childhood obesity, physical activity, and social interaction. Most existing studies rely upon self-report or manual measures from bulky wearable sensors, thus lacking efficiency and accuracy in capturing quantitative screen exposure data. In this work, we developed a novel sensor informatics framework that utilizes egocentric images from a wearable sensor, termed the screen time tracker (STT), and a vision language model (VLM). In particular, we devised a multi-view VLM that takes multiple views from egocentric image sequences and interprets screen exposure dynamically. We validated our approach by using a dataset of children's free-living activities, demonstrating significant improvement over existing methods in plain vision language models and object detection models. Results supported the promise of this monitoring approach, which could optimize behavioral research on screen exposure in children's naturalistic settings.

Convolutional Neural Networks (CNNs) are a form of bio-inspired deep learning in artificial intelligence. The interaction of thousands of'neurons' mimics the way our brain learns to recognize images. 'These CNNs are successful, but we don't fully understand how they work', says Estefanía Talavera Martinez, lecturer and researcher at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence of the University of Groningen in the Netherlands. She has made use of CNNs herself to analyse images made by wearable cameras in the study of human behaviour. Among other things, Talavera Martinez has been studying our interactions with food, so she wanted the system to recognize the different settings in which people encounter food.

Accurate prediction of future person location and movement trajectory from an egocentric wearable camera can benefit a wide range of applications, such as assisting visually impaired people in navigation, and the development of mobility assistance for people with disability. In this work, a new egocentric dataset was constructed using a wearable camera, with 8,250 short clips of a targeted person either walking 1) toward, 2) away, or 3) across the camera wearer in indoor environments, or 4) staying still in the scene, and 13,817 person bounding boxes were manually labelled. Apart from the bounding boxes, the dataset also contains the estimated pose of the targeted person as well as the IMU signal of the wearable camera at each time point. An LSTM-based encoder-decoder framework was designed to predict the future location and movement trajectory of the targeted person in this egocentric setting. Extensive experiments have been conducted on the new dataset, and have shown that the proposed method is able to reliably and better predict future person location and trajectory in egocentric videos captured by the wearable camera compared to three baselines.

An AI vision company is launching a wearable camera for tracking your relationships. If that sounds creepy… well, it sort of is. And if it sounds useful, it might be that, too. It's a device that seems almost custom-built to tap into our fears about how technology will change relationships. And it almost certainly won't be the last of its kind.

Google, the core unit of Alphabet Inc., is betting the upgraded devices will help it crack the competitive market for consumer-tech devices and catch up to juggernauts Apple Inc., AAPL -0.06% Samsung Electronics Co. and Amazon.com Google's new home speakers range in price from $50 to $400, challenging Apple at the top of the market and Amazon at the bottom. Throughout the event, Google touted the devices' smarts as a main selling point, versus their hardware upgrades. "To be honest, it's going to be tougher and tougher for people to develop new exciting products each year because that is no longer the timetable for big leaps forward in hardware alone. And that is why we're taking a very different approach," Google hardware chief Rick Osterloh said at the event.

Summary: Deep learning and Big Data are being adopted in law enforcement and criminal justice at an unprecedented rate. Does this scare you or make you feel safe? When you read the title, whether your mind immediately went for the upstairs "H" or the downstairs "H" probably says something about whether the new applications of Big Data in law enforcement let you sleep like a baby or keep you up at night. You might have thought your choice of "H" related to whether you've been on the receiving end of Big Data in law enforcement but the fact is that practically all of us have, and for those who haven't it won't take much longer to reach you. There is an absolute explosion in the use of Big Data and predictive analytics in our legal system today driven by the latest innovations in data science and by some obvious applications.

When you read the title, whether your mind immediately went for the upstairs "H" or the downstairs "H" probably says something about whether the new applications of Big Data in law enforcement let you sleep like a baby or keep you up at night. You might have thought your choice of "H" related to whether you've been on the receiving end of Big Data in law enforcement but the fact is that practically all of us have, and for those who haven't it won't take much longer to reach you. There is an absolute explosion in the use of Big Data and predictive analytics in our legal system today driven by the latest innovations in data science and by some obvious applications. It hasn't always been so. In the middle 90s I was part of the first wave trying to convince law enforcement to adopt what was then cutting edge data science.

Summary: Deep learning and Big Data are being adopted in law enforcement and criminal justice at an unprecedented rate. Does this scare you or make you feel safe? When you read the title, whether your mind immediately went for the upstairs "H" or the downstairs "H" probably says something about whether the new applications of Big Data in law enforcement let you sleep like a baby or keep you up at night. You might have thought your choice of "H" related to whether you've been on the receiving end of Big Data in law enforcement but the fact is that practically all of us have, and for those who haven't it won't take much longer to reach you. There is an absolute explosion in the use of Big Data and predictive analytics in our legal system today driven by the latest innovations in data science and by some obvious applications.

Sony has revealed its'smart personal assistant' that include a bluetooth earpiece similar to the AI version worn in the hit film Her will go on sale in November. At the IFA show in Berlin today, the firm confirmed it will launch this November'starting in select markets,' although its price has still not been revealed. The Xperia Ear wireless earpiece can update you with any missed calls or messages as soon as you slot it into your ear. Unveiled at Mobile World Congress (MWC) in Barcelona, the Xperia Ear (pictured) can read out key information, and is designed to be worn all day. The firm also showed off a Xperia Agent, a robot measuring just over one foot tall, that also works as a PA.