NIST has published Special Publication (SP) 800-188, De-Identifying Government Datasets: Techniques and Governance.NIST has published Special Publication (SP) 800-188, De-Identifying Government Datasets: Techniques and Governance.[#item_full_content]

Not everyone you disagree with on social media is a bot, but various forms of social media manipulation are indeed used to spread false narratives, influence democratic processes and affect stock prices.Not everyone you disagree with on social media is a bot, but various forms of social media manipulation are indeed used to spread false narratives, influence democratic processes and affect stock prices.[#item_full_content]

Generative artists work in code. Using programming languages like Processing or AI text-to-image tools, they translate expressive semantics into lines of code that form swirling, colorful patterns or surrealistic landscapes.Generative artists work in code. Using programming languages like Processing or AI text-to-image tools, they translate expressive semantics into lines of code that form swirling, colorful patterns or surrealistic landscapes.[#item_full_content]

NIST announces the release of Special Publication (SP) 800-207A, A Zero-trust Architecture Model for Access Control in Cloud-Native Applications in Multi-Location Environments.NIST announces the release of Special Publication (SP) 800-207A, A Zero-trust Architecture Model for Access Control in Cloud-Native Applications in Multi-Location Environments.[#item_full_content]

Touch sensations are improving to help sectors like health care and manufacturing, while other advances are being driven by the gaming industry.Touch sensations are improving to help sectors like health care and manufacturing, while other advances are being driven by the gaming industry.[#item_full_content]

Powerful machine-learning algorithms known as vision and language models, which learn to match text with images, have shown remarkable results when asked to generate captions or summarize videos.Powerful machine-learning algorithms known as vision and language models, which learn to match text with images, have shown remarkable results when asked to generate captions or summarize videos.[#item_full_content]

Photonic neural network systems, which are fast and energy efficient, are especially helpful for dealing with large amounts of data. To advance photonic brain-like computing technologies, a group of researchers at the University of Strathclyde combined a spike-based neural network with a semiconductor laser that exhibits spiking neuronal behaviors.Photonic neural network systems, which are fast and energy efficient, are especially helpful for dealing with large amounts of data. To advance photonic brain-like computing technologies, a group of researchers at the University of Strathclyde combined a spike-based neural network with a semiconductor laser that exhibits spiking neuronal behaviors.[#item_full_content]

In June 2022, Google engineer Blake Lemoine made headlines by claiming the company’s LaMDA chatbot had achieved sentience. The software had the conversational ability of a precocious seven-year-old, Lemoine said, and we should assume it possessed a similar awareness of the world.In June 2022, Google engineer Blake Lemoine made headlines by claiming the company’s LaMDA chatbot had achieved sentience. The software had the conversational ability of a precocious seven-year-old, Lemoine said, and we should assume it possessed a similar awareness of the world.[#item_full_content]

Believing in open scientific collaboration on AI technology, a Northeastern professor joined others in creating a state-of-the-art open generative model for programmers that can be licensed and adapted for different uses such as gaming and industrial automation.Believing in open scientific collaboration on AI technology, a Northeastern professor joined others in creating a state-of-the-art open generative model for programmers that can be licensed and adapted for different uses such as gaming and industrial automation.[#item_full_content]

Normally, when we think of a rolling object, we tend to imagine a torus (like a bicycle wheel) or a sphere (like a tennis ball) that will always follow a straight path when rolling. However, the world of mathematics and science is always open to exploring new ideas and concepts. This is why researchers have been studying shapes, like oloids, sphericons and more, which do not roll in straight lines.Normally, when we think of a rolling object, we tend to imagine a torus (like a bicycle wheel) or a sphere (like a tennis ball) that will always follow a straight path when rolling. However, the world of mathematics and science is always open to exploring new ideas and concepts. This is why researchers have been studying shapes, like oloids, sphericons and more, which do not roll in straight lines.[#item_full_content]