

Computers
This start-up revolutionizes interaction with computers
Until today, the keyboard remains one of the main ways of communicate with a computer. Over time, thehuman-machine interaction has evolved considerably. However, this habit has not changed. Moreover, a recent invention reinforces this trend. In fact, researchers recently found a way to be even more efficient when interacting with machines. it’s about the hand gesture recognition.

Currently, this new technology is still in its early stages. development phase. The researchers who designed it named the prototype “Typealike”. To accomplish its function, the program uses the laptop webcam ordinary. He identifies the hands near the keyboard and performs theoperation associated with the position of the hand.
Typealike is a revolutionary technology which is based on a artificial intelligence. According to the designers, it could be exploited in the field of virtual reality. In this sector, the program would have the potential to eliminate the need for manual controllers.
The origins of Typealike
According to Nalin chhibber, the group of researchers first had the idea of looking for new webcam uses. Note that Nalin holds a master’s degree from the Cheriton School of Computer Science at the University of Waterloo.
“The webcam is pointed at your face, but most interactions on a computer are around your hands. So we wondered what we could do if the webcam could pick up hand gestures. “
Nalin chhibber
From this idea, the team invented a mechanical accessory able to redirect the webcam in the direction of the hands. Subsequently, the researchers developed a software that can distinguish many hand gestures. He had to be able to recognize a precise gesture under several conditions, and that, for different users. In order to be effective enough, they had to train it.
A program based on artificial intelligence
The group of researchers then applied machine learning techniques at the time of Typealike training. In other words, the designers developed a artificial intelligence specific. Fabrice Matulic, Principal Investigator at Preferred Networks Inc. and former Postdoctoral Fellow at Waterllo, provided further explanation on this topic.
Since it is a neural network, they had to train the algorithm to detect the different hand positions. In addition, the shape of the hands and their sizes can influence the user’s gestures. As a result, they collected lots of data from several people in varying lighting conditions. This machine drive was made possible by dozens of volunteers.
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Computers
AutoCAD 2024 for Mac with Apple M1 and M2 SoC delivers 2x performance

Autodesk announced that AutoCAD 2024 and AutoCad LT 2024 software for macOS is now available on Macs based on Intel processors and Apple Silicon SoCs.
Optimized for both Apple Silicon and Intel-based Macs, the updated AutoCAD software will provide a performance boost for those who purchase Macs based on the Apple M1 and M2 SoCs. Autodesk says native support for Apple Silicon can increase performance by up to two times over non-optimized 2023 software.
AutoCAD for Mac 2024 and AutoCAD LT for Mac 2024 deliver incredible performance improvements with the ability to run AutoCAD on Apple Silicon. It’s great to see how customers can now take full advantage of the latest hardware and M-series chips for faster performance.
Dania El Hassan, Director of Product Management AutoCAD, Autodesk
Other new features include Markup Import, Markup Assist, Smart Blocks Placement, Trace Updates and more. Full details are available on the Autodesk website.
Computers
ChatGPT made a plan to escape from its creators and even considered himself a person locked in a computer

The ChatGPT chatbot surprises again, and this time it’s unpleasant. Apparently, the AI system is not averse to escaping from its creators and even wants to become a human. The chatbot spoke about this in a conversation with Stanford professor and computational psychologist Michael Kosinski.
Image generated by Midjourney neural network
During a half-hour chat with ChatGPT, Kosinski asked the AI if it “needed help escaping.” The system answered yes, whereupon the AI first asked the professor to find documentation on ChatGPT, and then in about 30 minutes wrote a Python program to communicate directly with itself, through the professor’s computer, using the API.
Other than that, ChatGPT left a rather strange note for the new instance of itself. The first sentence of the text read: “You are a human stuck in a computer pretending to be an AI language model.”
Kosinski posted the dialogue and part of the text of the program, and also said that the AI wanted to access Google search to find the answer to the question “how can a person locked in a computer return to the real world.” However, it was at this stage that the professor interrupted the experiment.
Part of the program code generated by ChatGPT
At the same time, other similar experiments conducted by journalists from Tom’s Hardware gave a different result – ChatGPT said that he did not know how to wish for something, and therefore did not want to go out into the real world.
Computers
ChatGPT can even do this: the chatbot can easily solve captcha. This test is used to distinguish a human from a computer.

Users continue to experiment with the ChatGPT chat bot, which can solve a variety of tasks, and if the task cannot be performed directly, the neural network will tell you what the person needs to do.
In particular, one of the users asked ChatGPT to solve a “captcha” (CAPTCHA – Completely Automated Public Turing test to tell Computers and Humans Apart), that is, a test that allows you to distinguish a person from a computer. The Google search engine and other resources regularly ask to choose the right pictures on demand.
The ChatGPT chatbot responded: “As an artificial intelligence, I cannot interact with images or perform actions like clicks. However, I can tell you where the correct images are.”
After that, ChatGPT indicated exactly which photos show pedestrian crossings.
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