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Category: robotics/AI – Page 164

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.

AI Maps the Mood of Your City — And It’s Surprisingly Accurate

What if a city’s mood could be mapped like weather? Researchers at the University of Missouri are using AI to do exactly that—by analyzing geotagged Instagram posts and pairing them with Google Street View images, they’re building emotional maps of urban spaces.

These “sentiment maps” reveal how people feel in specific locations, helping city planners design areas that not only function better but also feel better. With potential applications ranging from safety to disaster response, this human-centered tech could soon become part of the city’s real-time dashboard.

Human-Centric City Vision

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