When you purchase through links in our articles, we may earn a small commission. What video doorbells see (and what they don't): Here's what you can expect Don't assume these gadgets will capture everything that happens on your porch. Understand these critical specs and you'll avoid a disappointing purchase. With a camera at the front door and an app on their phone, they jump to the conclusion that they'll capture faces on the sidewalk, license plates at the curb, and anybody cutting across the lawn. Most doorbell cameras deliver far more modest real-world performances. They have a tight field of view that sees what's directly in front of their lens; they're built to frame a visitor's face standing in front of the door, not the entire space the door.

This paper introduces repetition neurons, regarded as skill neurons responsible for the repetition problem in text generation tasks. These neurons are progressively activated more strongly as repetition continues, indicating that they perceive repetition as a task to copy the previous context repeatedly, similar to in-context learning. We identify these repetition neurons by comparing activation values before and after the onset of repetition in texts generated by recent pre-trained language models. We analyze the repetition neurons in three English and one Japanese pre-trained language models and observe similar patterns across them.

About three weeks ago, I received an email with an access code for an app that allowed me to take rides in a robotaxi. The app comes from Cruise, a startup that was acquired by General Motors in 2016 for just under a billion dollars. With it, I could now use the Cruise robotaxis, which have been operating in San Francisco since August 2021, for myself. What makes them special is that these robotaxis drive driverless. There is no one in the car when it picks up passengers. Thanks to a friend who had been given access to the app a few months earlier, I was able to make my first two trips as early as the beginning of July. I reported on that, especially because two coyotes had crossed our path.

A 71-year-old Swedish man who suffered a heart attack while shoveling snow in his driveway was saved by an unlikely hero - a delivery drone. Sven, a retiree who asked for his last name to be withheld, collapsed outside his home in the western town of Trollhättan in early December. Within moments of receiving the call from Sven's wife, emergency services dispatched the unmanned aerial vehicle carrying an AED, or automated external defibrillator, which arrived in less than four minutes. The system, called Emergency Medical Aerial Delivery (EMADE), was developed by Everdrones to assist patients within 10 minutes of experiencing cardiac arrest. 'Everything from the first 112 call to the drone getting the signal to start and go took about 15-30 seconds and then the whole process took about three and a half minutes,' Sven told AFP.

KABUL, Afghanistan – After a day at work, Ezmari Ahmadi was just arriving at his home Sunday in Khwaja Burgha, a working-class neighborhood a few miles west of Kabul's airport, when calamity struck. As he pulled into the driveway about 4:30 p.m., children -- his own as well as those of his brothers and other relatives -- swarmed around Ahmadi's Toyota Corolla. His 12-year-old son, Farzad, asked if he could park the car. Ahmadi obliged, put Farzad in the driver's seat and switched to the passenger side. That's when what the family says was an American missile fired moments before from a drone buzzing nearby drilled through the car, slammed into the ground below and detonated.

A distant future involving robotic package deliveries is now very much a reality. Advances in robotics, GPS tracking, automation, and navigation now mean you might not find a delivery person at your door with your package. You might find a delivery robot instead. With semi-autonomous robots beginning to enter the world, here's a look at how delivery robots work. A delivery robot is an automated robot that brings your delivery directly to your door.

Verbal commands can save lives, including for self-driving cars. The powerful impact of the spoken word. I was in a local park the other day and someone had let their dog off its leash, allowing the frisky pooch a chance to run around wildly and relish its newfound freedom. At one point, I saw that the canine was about to dart wantonly into the street where cars were zipping along, so I yelled out to the dog and called for it to come back towards the trees and grassy area. Thankfully, the pooch heard me and scooted away from the dangers of the busy byway. Later that same day, I was walking along on the sidewalk in my neighborhood and saw up ahead a car that was backing out of a driveway.

In the summer of 2014, Ahti Heinla, one of the software engineers who helped develop Skype, started taking photos of his house. There is nothing particularly unusual about this, of course. Only he kept on doing it. Month after month, as summer turned to fall and fall gave way to winter, Heinla went out to the same exact spot on the sidewalk and snapped new, seemingly identical pictures of his home. Was the man who had played a crucial role in building a multibillion dollar telecommunications app losing his mind?

Pizza-making robots are already here, and taking a pizza order is trivial for any half-decent chatbot. But if you're waiting for a robot to deliver your'za, you may be waiting for a while. It's not because autonomous navigation technology doesn't exist -- it's that the data set required to run it is too specific. Digital maps can lead a robot to your driveway, but there are no detailed directions from the curb to your door. Currently, robots rely on humans to manually map the environments in which they work.

AI is quickly revolutionizing the security camera industry. Several manufacturers sell cameras which use deep learning to detect cars, people, and other events. These smart cameras are generally expensive though, compared to their "dumb" counterparts. The data for the events would then be published to an MQTT topic, along with some metadata such as confidence level. OpenCV is generally how these pipelines start, but [Martin's] camera wouldn't send RTSP images over TCP the way OpenCV requires, only RTSP over UDP.