#computer-vision

#computer-vision

For wine collectors, the art of cellar management has always been as much about precision as it is indulgence. Temperature, humidity, and provenance all dictate whether a vintage will flourish or falter, and even the most meticulous collectors know that storage mistakes can be costly. Now, a new wave of technology promises to take out the guesswork. AI wine cellars, as futuristic as they sounds, are systems that use artificial intelligence to track bottles, catalogue vintages, and anticipate optimal conditions.

Robot vacuums quietly went from novelty to background appliance, yet many still behave like polite bumper cars. They avoid walls, follow schedules, and send maps, but they do not really understand what they are seeing. A cable, a sock, and a pet toy often get the same treatment, which is why people still hover nearby during automatic cleaning runs, ready to intervene when the robot inevitably gets confused by something obvious.

About 10 Apple employees spent some of their valuable hours over recent months on a project that might seem unusual for the tech giant: customizing an open source AI tool for ImageTek, a small manufacturer in Springfield, Vermont whose lines of business include printing millions of labels for food packaging. The Apple engineers developed a computer vision system to automatically identify color errors, and on one run it picked up bacon labels with a far-too-pinkish beige before they got shipped, according to Marji Smith, ImageTek's president.

According to a recent report from digital transformation and industrial automation provider Rockwell Automation, the UK already leads Europe in smart manufacturing, with 53% of its manufacturers using AI on the factory floor and 98% overall planning to implement it. This compares to a global average of 41% introducing AI and machine learning (ML), as well as 95% planning to implement.

Li immigrated to the United States at 15, arriving with her parents in Parsippany, New Jersey, with little English or money. To get by, her parents worked cashier jobs and Li worked in Chinese restaurants. When her mother's health declined just as Li entered college at Princeton, the family needed to find a way to "make some money to survive," she toldBloomberg.

The system combines ceiling-mounted cameras with computer vision and large language models (LLMs) to monitor what humans are doing and deciding when to lend a hand. When a person begins an action - say, reaching for papers or chopping vegetables - the AI generates a short text description of the scene and uses it to infer what might happen next. Movement commands are then sent to small, wheeled robotic bases under the objects, which the researchers call "proactive assistants."

Amazon's budget security brand, Blink, announced two new cameras during the company's fall hardware event in New York City: the Blink Mini 2K+ and the Blink Outdoor 2K+. As the names suggest, these cameras sport 2K resolution to pick up more details. But it's the Blink Arc accessory that makes these security cameras more interesting. The Arc can combine two cameras and stitch the feeds together for a complete 180-degree view.

Whether it's Carlos Alcaraz, Jannik Sinner or the legendary Novak Djokovic in the men's tournaments, Aryna Sabalenka, Iga Swiatek or Coco Gauff in the women's, the level of individual talent rises constantly. These improvements are attributable to the amazing natural talents of the athletes, combined with the best coaching the sport can offer. The right coach can make all the difference between being a player and being a champion.

It has two AI systems: the first one works within the robot, which processes the language. The other works on the internet servers. This one processes the 'vision', which allows the robotic SwitchBot AI Pet to use its cameras as eyes, microphones as ears, and speakers as a mouth. To make it more toy-like, the company dresses up the device with a fuzzy, furry material like fur.

It's because of the talent war that was started by Mark Zuckerberg. I used to work at Meta, and I speak with my former colleagues often about this. When I heard about their compensation packages, I was shocked - it's really in the tens of millions range. But it shows that in this age, AI researchers who make the best models and stand at the frontier of technology are really worth this amount of money.

I got to meet fruit professors who are the best in the world at what they do,

The new feature builds upon Amazon's existing Lens tool by adding instant product recognition as users point their cameras at items in the physical world. "Lens Live instantly scans products and shows real-time matches in a swipeable carousel to make finding the right item easier," said Trishul Chilimbi, Vice President and Distinguished Scientist, Stores Foundational AI at Amazon. The tool operates through AWS-managed Amazon OpenSearch and Amazon SageMaker services, deploying machine learning models at scale for immediate product identification.

"We're addressing the lameness issue, which is a big issue at lots and lots of dairies. They reckon 30% of all cows don't walk as well as they should do."

Through an analysis of computer-vision research papers and citing patents, we found that most of these documents enable the targeting of human bodies and body parts.

The proposed framework exhibits super-balanced performance and efficiency, but has limitations such as the computational cost of the visual backbone and restricted training data.