5 ways ChatGPT can make your life easier
Here's how ChatGPT can help reduce the amount of mindless, mundane tasks you have to do in your everyday life.
Here's how ChatGPT can help reduce the amount of mindless, mundane tasks you have to do in your everyday life.
The new AI language processing tool has been trending since its launch late last year, but how do you use it and what for?
If you're like me and want to keep an eye on your pet while you're away, the Rocki pet companion can do just that, and more. The robot comes with a 1080p HD camera, treat dispenser, laser pointer, and feather attachment to keep your pets entertained, fed, and monitored while you're away from home.
If you're looking for a self-emptying robot vacuum with powerful suction and a fantastic battery, look no further than the Dreamebot D10 Plus.
Computers can't actually read lips in real-time, but Meta's neural network program, AV-HuBERT, using what's called self-supervised learning, is able to improve in scores of match words to videos of people's lip movements. One outcome could be better video transcription software.
As competitor Zillow withdrew from the home sales market, startup Opendoor was touting great results. The company credits its success to its ability to forecast home prices better, although clearly, having a ton of money from IPO, and continued equity offerings helps.
The company is collecting thousands of hours of video filmed in first-person by individuals wearing cameras as they go about their daily activities. Here's why.
Startup Twin Health is developing a program that uses sensor data to construct a replica of a person's metabolism and then simulate virtual interventions on the body. The simulations suggest non-drug recommendations that help reverse metabolic disorders such as diabetes.
In an age when being environmentally responsible should be a no-brainer, Tiernan Ray says leading chip companies building AI show they are more concerned about raw speed than about the energy consumption of their products.
The latest ZDNet survey on AI actionability and accountability finds that IT teams are taking a direct lead, with most companies building in-house systems. However, Joe McKendrick says oversight of AI-generated decisions is lagging.