#computers

See How These Computer Parts Operate In Very Cold WeatherWe did wonder if these computers were able to melt the ice around them or be actually capable of powering up the computer in such low temperatures.Chinese content creator and hardware enthusiast 苏baka (for the purposes of this article, we will be calling her Baka) decided to see if seasonal temperature changes can have an effect on a PC system’s internal temperature while under heavy load. She decided to test her gaming computer outdoors in a minus 63-degree Celsius weather.The temperature drop is part of a recent record cold snap in northern China. Baka tested a computer containing an Intel i9-13900K and an Nvidia GeForce RTX 4090 outside over two nights. If these components were being used, they can reach temperatures up to 100 degrees Celsius. So the question now is: will it be easier for the computer if the temperature surrounding it would be low? This is what Baka aimed to find out. Surprisingly, the PC didn’t get damaged at all. The CPU was able to reach 6.18 GHz while hovering around 15C, and the graphics card maintained -40C with a hotspot at -18C. The content creator also reassured that no hardware was damaged in her tests. Image credit: Pixabay#computers #China #Nvidia #GeForce #PC
Codes May Be Written In Natural English In The Future We’ve already discussed the repercussions and effects of the rise of AI-powered chatbot ChatGPT, from allowing students to cheat on their essays, to creatives getting laid off and replaced by these applications– the effect is both insane and really disheartening.On the other side of the coin, the application, along with the potential it has, shows just how much more it can actually do: writing code. Many computer scientists see a future where everyone can code by using our natural language. This is because AI can actually translate natural language into code. Additionally, it can also auto-complete, debug, and suggest. A manifestation of this future was released in August 2021 through OpenAI’s Codex. This is a private beta tool that can translate natural language commands to code. It was trained on the same data as the ChatGPT. According to OpenAI co-founder and CTO Greg Brockman, “beginning of a shift in how computer software is written.” Image credit: OpenAI via Vice#ChatGPT #AI #computers #coding #naturallanguage #artificialiintelligence
Labs Are Using AI To Invent New Drugs This new development is all thanks to artificial intelligence. Well, to be specific, thanks to the explosion of text-to-image models, also known as diffusion models (such as the OpenAI’s DALL-E 2 diffusion model) are being used to create new types of drugs.For reference, this kind of generative AI is used to create new designs for proteins that have never been seen before. This is done by providing the model with a random mess of pixels, which it will try to turn into an image.Multiple biotech labs have announced their embarkment into using these models. One of them is the Boston-based startup Generate Biomedicines which created a new diffusion model called Chroma. According to the company, their program is the “DALL-E 2 of biology.” So we expect that it sort of operates the same way as the mentioned diffusion model. But why are these establishments focused on protein creation for drugs? Well, it’s because these components are in charge of a lot of bodily functions. They digest food, contract muscles, detect light, drive the immune system, and so much more. Proteins also play a big part in driving ailments out of the body. The promise in finding new protein structures that can help the body is immense, according to Gevorg Grigoryan, CEO of Generate Biomedicines. He also hopes that AI can help them discover more in minutes, which can speed up the production and creation of new medicine.Image credit: Generate Biomedicines#medicine #drugs #biotech #laboratories #research #artificialintelligence #computers #diffusionmodels #DALLE #OpenAI
AI Beats 8 Human World Champions at BridgeIt looks like computers have bested us yet again!An artificial intelligence has succeeded at beating eight champions at bridge, a card game that involves players competing in pairs. The algorithm, named NooK, created by French startup NukkAI, challenged the seasoned players to play 800 consecutive deals– that is 80 sets of ten. NooK won 67 out of the 80 sets. According to Jean-Baptiste Fantun, the co-founder of NukkAI, he was confident that the AI would win. The interesting thing about this new AI is that it is capable of explaining its decisions as it goes along, unlike other models. The bridge players were awed at the AI, finding it had the ability to read its opponents way better than how actual humans do. In addition, they noticed that playing with the AI was like competing with an experienced player. “This is something that humans do after enough experience and I was pleasantly surprised that a robot mimics typical human skills,” Nevena Senior, one of the champions the algorithm fought, said. Image credit: Inês Ferreira#bridge #artificialintelligence #computers #cards #technology #NukkAI #NooK