Can artificial intelligence help to bring up children? Senior executives in the toy market think so. Allan Wong, CEO of toymaker VTech Holdings, has said that in just five years, teddy bears could be reading personalized AI stories to kids, while humanoid nannies could be only a few decades away. Many companies are now offering AI-enhanced toys, apps and games for children - with a new robot, Moxie, which its maker claims improves social skills in 71 percent of children. I put the current cutting-edge artificial intelligence programs to the test, by asking leading bots like ChatGPT and Google Bard to help me parent my 18-month-old son William and keep him entertained for an entire day (easier said than done for mere mortals).

ChatGPT and similar systems will increasingly be part of our lives, including health care. We need guidelines to ensure their ethical deployment. Generative AI systems like ChatGPT, a chatbot based on a generative pre-trained transformer, have captured the public's attention, resulting in a flurry of positive and negative speculation about their potential. They have even found their way into popular comic strips. In one Dilbert strip, for instance, the boss asks Wally if his status report was written by a commercial grade AI.

You have to feel for the American pilot Wally Funk. You would sympathise with anyone with that name, but she has had a particularly mixed week. On one hand, at 82, she is set to finally fulfil her life's ambition and travel into space. Funk was one of the most promising female candidates for the Mercury 13 programme in the 1960s, but was denied a spot because of her gender. On Thursday, the Amazon founder, Jeff Bezos, announced on Instagram that Wally would become the oldest person in space as one of the four passengers on New Shepard, the rocket being launched by his company Blue Origin on 20 July.

Many people remember spending hours poring over a Where's Wally? However, a robot is now capable of ruining this much-loved childhood classic. Developers have created an AI that uses facial recognition technology to locate the elusive character Wally, known as Waldo in America, in less than four seconds. The AI robot was designed by Matt Reed, 41, from the Nashville-based creative agency Redpepper. It has a camera which takes a photo of the page.

Let me start by stating that here in the UK, we call Waldo Wally. And as I'm writing this post at my desk at Pi Towers, Cambridge, I have taken the decision to refer to the red and white-clad fellow as Wally moving forward. There's Waldo is a robot built to find Waldo and point at him. The robot arm is controlled by a Raspberry Pi using the PYARM Python library for the UARM Metal. Once initialized the arm is instructed to extend and take a photo of the canvas below.

Book a night at LAX's Residence Inn and you may be fortunate enough to meet an employee named Wally. His gig is relatively pedestrian--bring you room service, navigate around the hotel's clientele in the lobby and halls--but Wally's life is far more difficult than it seems. If you put a tray out in front of your door, for instance, he can't get to you. If a cart is blocking the hall, he can't push it out of the way. But fortunately for Wally, whenever he gets into a spot of trouble, he can call out for help.

Deep learning provides yet another way to solve the Where's Wally puzzle problem. But unlike traditional image processing computer vision methods, it works using only a handful of labelled examples that include the location of Wally in an image. Final trained model with evaluation images and detection scripts is published on my Github repo. This post describes the process of training a neural network using Tensorflow Object Detection API and using a Python script built around it to find Wally. Before starting, make sure to install Tensorflow Object Detection API as per the instructions.

Deep learning provides yet another way to solve the Where's Wally puzzle problem. But unlike traditional image processing computer vision methods, it works using only a handful of labelled examples that include the location of Wally in an image. Final trained model with evaluation images and detection scripts is published on my Github repo. This post describes the process of training a neural network using Tensorflow Object Detection API and using a Python script built around it to find Wally. Before starting, make sure to install Tensorflow Object Detection API as per the instructions.

During a recent visit to Los Angeles, California, I happened to stay at Residence Inn Marriott at LAX. Unable to sustain my hunger pangs in the middle of the night, I ordered some food. And I had the best, and the most surprising experience!. The food arrived quickly and was not carried by a server, but a robot – Wally! Wally is a 3 feet tall robot that moves on wheels, can be programmed for the room number and delivers to the room.

What's the fastest way to find Wally, or Waldo as he's inexplicably called in the US and Canada? The new method derived by a doctoral student at Michigan State University's High-Performance Computing Centre, entirely defeats the simple pleasure of aimlessly staring at a page covered in animated characters that look like Wally, but are in fact imposters planted by fiendish Martin Handford, creator of the Where's Wally books. "I was going to pull out every machine learning trick in my tool box to compute the optimal search strategy for finding Waldo. I was going to crush Slate's supposed foolproof strategy and carve a trail of defeated Waldo-searchers in my wake," Randy Olson posted on his blog. Olson had been trapped at home by a snow storm, which gave him time to spare.