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Category: robotics/AI – Page 6

Scientists create biological ‘artificial intelligence’ system

Australian scientists have successfully developed a research system that uses ‘biological artificial intelligence’ to design and evolve molecules with new or improved functions directly in mammal cells. The researchers said this system provides a powerful new tool that will help scientists develop more specific and effective research tools or gene therapies.

Named PROTEUS (PROTein Evolution Using Selection) the system harnesses ‘directed evolution’, a lab technique that mimics the natural power of evolution. However, rather than taking years or decades, this method accelerates cycles of evolution and natural selection, allowing them to create molecules with new functions in weeks.

This could have a direct impact on finding new, more effective medicines. For example, this system can be applied to improve gene editing technology like CRISPR to improve its effectiveness.

AI model transforms blurry, choppy videos into clear, seamless footage

A research team, led by Professor Jaejun Yoo from the Graduate School of Artificial Intelligence at UNIST has announced the development of an advanced artificial intelligence (AI) model, “BF-STVSR (Bidirectional Flow-based Spatio-Temporal Video Super-Resolution),” capable of simultaneously improving both video resolution and frame rate.

This research was led by first author Eunjin Kim, with Hyeonjin Kim serving as co-author. Their findings were presented at the Conference on Computer Vision and Pattern Recognition (CVPR 2025) held in Nashville June 11–15. The study is posted on the arXiv preprint server.

Resolution and frame rate are critical factors that determine . Higher resolution results in sharper images with more detailed visuals, while increased frame rates ensure smoother motion without abrupt jumps.

AI cloud infrastructure gets faster and greener: NPU core improves inference performance by over 60%

The latest generative AI models such as OpenAI’s ChatGPT-4 and Google’s Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating companies like Microsoft and Google purchase hundreds of thousands of NVIDIA GPUs.

As a solution to address the core challenges of building such high-performance AI infrastructure, Korean researchers have succeeded in developing an NPU (neural processing unit) core technology that improves the inference performance of generative AI models by an average of more than 60% while consuming approximately 44% less power compared to the latest GPUs.

Professor Jongse Park’s research team from KAIST School of Computing, in collaboration with HyperAccel Inc., developed a high-performance, low-power NPU core technology specialized for generative AI clouds like ChatGPT.

Man with no programming skills wins 200 IT hackathons thanks to AI

Rene Turcios, 29, from San Francisco, has won 200 IT hackathons in two years, an ambitious achievement for someone with no programming skills.

René is a professional Yu-Gi-Oh! player, cannabis enthusiast, and reseller of Labubu toys, but he devotes most of his time to participating in IT hackathons. Since 2023, he has attended more than 200 events and won cash prizes and software credits.

The craziest thing about all this is that Tursios has no programming skills and is a representative of a new generation of programmers — the so-called web coders, i.e. people who write code with the help of AI chatbots.

Brain chips get smarter. Elon Musk’s Neuralink gets competition

Recent advances suggest the technology is hitting its stride. The UC Davis team’s speech synthesis system represents a fundamental shift from previous approaches. Rather than translating brain signals into text and then synthesizing speech — a process that created significant delays — UC Davis’ system converts thoughts directly into sounds with near-instantaneous 10-millisecond latency.

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Meanwhile, researchers at Carnegie Mellon achieved real-time control of individual robotic fingers using non-invasive EEG technology, wearing a cap that reads brain signals through the skull. This suggests that future brain interfaces might not require surgery at all for certain applications.

AI model analyzes speech to detect early neurological disorders with high accuracy

A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a novel deep learning framework that significantly improves the accuracy and interpretability of detecting neurological disorders through speech. The findings were recently published in Neurocomputing.

“A slight change in the way we speak might be more than just a slip of the tongue—it could be a from the brain,” said Prof. Hai, who led the team. “Our new model can detect early symptoms of neurological diseases such as Parkinson’s, Huntington’s, and Wilson disease, by analyzing voice recordings.”

Dysarthria is a common early symptom of various neurological disorders. Since speech abnormalities often reflect underlying neurodegenerative processes, voice signals have emerged as promising noninvasive biomarkers for the early screening and continuous monitoring of such conditions.