ChatGPT and other solutions built on machine learning are surging. But even the most successful algorithms have limitations. Researchers from University of Copenhagen have proven mathematically that apart from simple problems it is not possible to create algorithms for AI that will always be stable. The study, posted to the arXiv preprint server, may lead to guidelines on how to better test algorithms and reminds us that machines do not have human intelligence after all.ChatGPT and other solutions built on machine learning are surging. But even the most successful algorithms have limitations. Researchers from University of Copenhagen have proven mathematically that apart from simple problems it is not possible to create algorithms for AI that will always be stable. The study, posted to the arXiv preprint server, may lead to guidelines on how to better test algorithms and reminds us that machines do not have human intelligence after all.[#item_full_content]
ChatGPT and other solutions built on machine learning are surging. But even the most successful algorithms have limitations. Researchers from University of Copenhagen have proven mathematically that apart from simple problems it is not possible to create algorithms for AI that will always be stable. The study, posted to the arXiv preprint server, may lead to guidelines on how to better test algorithms and reminds us that machines do not have human intelligence after all.ChatGPT and other solutions built on machine learning are surging. But even the most successful algorithms have limitations. Researchers from University of Copenhagen have proven mathematically that apart from simple problems it is not possible to create algorithms for AI that will always be stable. The study, posted to the arXiv preprint server, may lead to guidelines on how to better test algorithms and reminds us that machines do not have human intelligence after all.Computer Sciences[#item_full_content]
A new, potentially revolutionary artificial intelligence framework called “Blackout Diffusion” generates images from a completely empty picture, meaning that, unlike other generative diffusion models, the machine-learning algorithm does not require initiating a “random seed” to get started.A new, potentially revolutionary artificial intelligence framework called “Blackout Diffusion” generates images from a completely empty picture, meaning that, unlike other generative diffusion models, the machine-learning algorithm does not require initiating a “random seed” to get started.[#item_full_content]
A new, potentially revolutionary artificial intelligence framework called “Blackout Diffusion” generates images from a completely empty picture, meaning that, unlike other generative diffusion models, the machine-learning algorithm does not require initiating a “random seed” to get started.A new, potentially revolutionary artificial intelligence framework called “Blackout Diffusion” generates images from a completely empty picture, meaning that, unlike other generative diffusion models, the machine-learning algorithm does not require initiating a “random seed” to get started.Computer Sciences[#item_full_content]
Every day, a significant amount of data related to weather, traffic, and social media undergo real-time processing. In traditional cloud computing, this processing occurs on the cloud, raising concerns about issues such as leaks, communication delays, slow speeds, and higher power consumption.Every day, a significant amount of data related to weather, traffic, and social media undergo real-time processing. In traditional cloud computing, this processing occurs on the cloud, raising concerns about issues such as leaks, communication delays, slow speeds, and higher power consumption.[#item_full_content]
A new wave of communication technology is quickly approaching and researchers at UBC Okanagan are investigating ways to configure next-generation mobile networks.A new wave of communication technology is quickly approaching and researchers at UBC Okanagan are investigating ways to configure next-generation mobile networks.Telecom[#item_full_content]
In 1954, the Guardian’s science correspondent reported on “electronic brains”, which had a form of memory that could let them retrieve information, like airline seat allocations, in a matter of seconds.In 1954, the Guardian’s science correspondent reported on “electronic brains”, which had a form of memory that could let them retrieve information, like airline seat allocations, in a matter of seconds.Business[#item_full_content]
Few objects in the world are more immediately recognizable than the bar code. After all, bar codes are all around us. They’re on the books we buy and the packages that land on our doorsteps. More than 6 billion bar codes are scanned every single day. They’ve become such an accepted part of our daily lives that it’s hard to imagine how they could look any different.Few objects in the world are more immediately recognizable than the bar code. After all, bar codes are all around us. They’re on the books we buy and the packages that land on our doorsteps. More than 6 billion bar codes are scanned every single day. They’ve become such an accepted part of our daily lives that it’s hard to imagine how they could look any different.[#item_full_content]
A study of UAB and URV researchers and published in PNAS shows that human beings recognize grammatical errors in a sentence while AI does not. Researchers have compared the skills of humans and the three best large language models currently available.A study of UAB and URV researchers and published in PNAS shows that human beings recognize grammatical errors in a sentence while AI does not. Researchers have compared the skills of humans and the three best large language models currently available.Machine learning & AI[#item_full_content]
Researchers at The University of Queensland (UQ) are developing new 4D printing technology that produces shape-shifting liquid metals for soft robotics.Researchers at The University of Queensland (UQ) are developing new 4D printing technology that produces shape-shifting liquid metals for soft robotics.[#item_full_content]
