Recent numerical studies investigating neural networks have found that solutions typically found by modern machine learning algorithms lie in complex extended regions of the loss landscape. In these regions, zero-energy paths between pairs of distant solutions can be established.Recent numerical studies investigating neural networks have found that solutions typically found by modern machine learning algorithms lie in complex extended regions of the loss landscape. In these regions, zero-energy paths between pairs of distant solutions can be established.[#item_full_content]

The image spoke for itself. University at Buffalo computer scientist and deepfake expert Siwei Lyu created a photo collage out of the hundreds of faces that his detection algorithms had incorrectly classified as fake—and the new composition clearly had a predominantly darker skin tone.The image spoke for itself. University at Buffalo computer scientist and deepfake expert Siwei Lyu created a photo collage out of the hundreds of faces that his detection algorithms had incorrectly classified as fake—and the new composition clearly had a predominantly darker skin tone.[#item_full_content]

Researchers from RUDN University have proposed a new scheme for the Internet of Things network. It uses flying drones that process data instead of cloud data centers, which speeds up the network. The results were published in Drones.Researchers from RUDN University have proposed a new scheme for the Internet of Things network. It uses flying drones that process data instead of cloud data centers, which speeds up the network. The results were published in Drones.[#item_full_content]

When artificial intelligence models pore over hundreds of gigabytes of training data to learn the nuances of language, they also imbibe the biases woven into the texts.When artificial intelligence models pore over hundreds of gigabytes of training data to learn the nuances of language, they also imbibe the biases woven into the texts.[#item_full_content]

Neural network learning techniques stem from the dynamics of the brain. However, these two scenarios, brain learning and deep learning, are intrinsically different. One of the most prominent differences is the number of layers each one possesses.Neural network learning techniques stem from the dynamics of the brain. However, these two scenarios, brain learning and deep learning, are intrinsically different. One of the most prominent differences is the number of layers each one possesses.[#item_full_content]

AI language models are booming. The current frontrunner is ChatGPT, which can do everything from taking a bar exam to creating an HR policy to writing a movie script.AI language models are booming. The current frontrunner is ChatGPT, which can do everything from taking a bar exam to creating an HR policy to writing a movie script.[#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.[#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]

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]

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]