A team of engineers at Apple has developed an AI-based model called Depth Pro that can map the depth of a 2D image. The team has written a paper describing the app and its capabilities and has posted it on the arXiv preprint server. They have also posted an announcement regarding the app on the company’s Machine Learning Research page.A team of engineers at Apple has developed an AI-based model called Depth Pro that can map the depth of a 2D image. The team has written a paper describing the app and its capabilities and has posted it on the arXiv preprint server. They have also posted an announcement regarding the app on the company’s Machine Learning Research page.[#item_full_content]

Artificial Intelligence has learned to master language, generate art, and even beat grandmasters at chess. But can it crack the code of abstract reasoning—those tricky visual puzzles that leave humans scratching their heads?Artificial Intelligence has learned to master language, generate art, and even beat grandmasters at chess. But can it crack the code of abstract reasoning—those tricky visual puzzles that leave humans scratching their heads?[#item_full_content]

Neural networks have a remarkable ability to learn specific tasks, such as identifying handwritten digits. However, these models often experience “catastrophic forgetting” when taught additional tasks: They can successfully learn the new assignments, but “forget” how to complete the original. For many artificial neural networks, like those that guide self-driving cars, learning additional tasks thus requires being fully reprogrammed.Neural networks have a remarkable ability to learn specific tasks, such as identifying handwritten digits. However, these models often experience “catastrophic forgetting” when taught additional tasks: They can successfully learn the new assignments, but “forget” how to complete the original. For many artificial neural networks, like those that guide self-driving cars, learning additional tasks thus requires being fully reprogrammed.[#item_full_content]

We have grown accustomed to seeing many aspects of our everyday world depicted using computer graphics, but some phenomena remain difficult for even the most experienced animators. Hair, specifically the highly coiled hair that is most common to Black characters, remains a notoriously difficult digital challenge.We have grown accustomed to seeing many aspects of our everyday world depicted using computer graphics, but some phenomena remain difficult for even the most experienced animators. Hair, specifically the highly coiled hair that is most common to Black characters, remains a notoriously difficult digital challenge.[#item_full_content]

Integrating post-quantum security algorithms into hardware has long been considered a challenge. But a research team at TU Graz has now developed hardware for NIST post-quantum cryptography standards with additional security measures for this purpose.Integrating post-quantum security algorithms into hardware has long been considered a challenge. But a research team at TU Graz has now developed hardware for NIST post-quantum cryptography standards with additional security measures for this purpose.[#item_full_content]

Imagine you’re tasked with sending a team of football players onto a field to assess the condition of the grass (a likely task for them, of course). If you pick their positions randomly, they might cluster together in some areas while completely neglecting others. But if you give them a strategy, like spreading out uniformly across the field, you might get a far more accurate picture of the grass condition.Imagine you’re tasked with sending a team of football players onto a field to assess the condition of the grass (a likely task for them, of course). If you pick their positions randomly, they might cluster together in some areas while completely neglecting others. But if you give them a strategy, like spreading out uniformly across the field, you might get a far more accurate picture of the grass condition.[#item_full_content]

Imaging microscopic samples requires capturing multiple, sequential measurements, then using computational algorithms to reconstruct a single, high-resolution image. This process can work well when the sample is static, but if it’s moving—as is common with live, biological specimens—the final image may be blurry or distorted.Imaging microscopic samples requires capturing multiple, sequential measurements, then using computational algorithms to reconstruct a single, high-resolution image. This process can work well when the sample is static, but if it’s moving—as is common with live, biological specimens—the final image may be blurry or distorted.[#item_full_content]

Artificial intelligence (AI) has opened new interesting opportunities for the music industry, for instance, enabling the development of tools that can automatically generate musical compositions or specific instrument tracks. Yet most existing tools are designed to be used by musicians, composers and music producers, as opposed to non-expert users.Artificial intelligence (AI) has opened new interesting opportunities for the music industry, for instance, enabling the development of tools that can automatically generate musical compositions or specific instrument tracks. Yet most existing tools are designed to be used by musicians, composers and music producers, as opposed to non-expert users.[#item_full_content]

In Shakespeare’s time, about a quarter of all plays were collaboratively written by two or more dramatists. Christopher Marlowe’s classic work “Doctor Faustus” was first performed in the 1580s or early 1590s but only published in 1604, 11 years after his death. The dramatists Samuel Rowley and William Bird were paid in 1602 to write new additions to the play.In Shakespeare’s time, about a quarter of all plays were collaboratively written by two or more dramatists. Christopher Marlowe’s classic work “Doctor Faustus” was first performed in the 1580s or early 1590s but only published in 1604, 11 years after his death. The dramatists Samuel Rowley and William Bird were paid in 1602 to write new additions to the play.[#item_full_content]

A team of microchip engineers at Pragmatic Semiconductor, working with a pair of colleagues from Harvard University and another from Qamcom, has developed a bendable, programmable, non-silicon 32-bit RISC-V microprocessor. Their research is published in the journal Nature.A team of microchip engineers at Pragmatic Semiconductor, working with a pair of colleagues from Harvard University and another from Qamcom, has developed a bendable, programmable, non-silicon 32-bit RISC-V microprocessor. Their research is published in the journal Nature.[#item_full_content]