Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 1,310

Bengaluru Startup’s Robot Can Cook 120 Delicious Meals In 3 Easy Steps

Imagine returning home from your evening walk or gym to the aroma of freshly cooked kadhai paneer or chicken curry, which instantly reminds you of home. Now, what if you were to know that it was no human that lovingly prepared this piping hot and delicious meal, but rather, a machine?

From booking cabs to ordering food right at your doorstep, technology makes human lives easy. So it’s about time it saves humans from having to cook after a long tiring day at work, or at times when you’re just not in the mood to enter the kitchen.

The NOSH device, developed by the Euphotic Labs, was conceived by Yatin Varachhia, co-founder of the Bengaluru-based startup. The 34-year-old says the inspiration to build a device stemmed from his struggle of having good food.

Decoding lies with AI? New machine learning model uses facial expressions and pulse rates to detect deception

Researchers from the Tokyo University of Science recently published a study in the journal Artificial Life and Robotics where they explored how machine learning can help detect deception.

Machine learning is a subset of artificial intelligence (AI) that involves the use of algorithms and statistical models to enable computers to learn and improve from experience without being explicitly programmed. In other words, it is a method of teaching computers to perform specific tasks by learning from data, patterns, and examples, rather than relying on pre-defined rules.

Detecting deception can be important in various situations, like questioning crime victims or suspects and interviewing patients with mental health issues. Sometimes, human interviewers might struggle to ask the right questions or spot deception accurately.

Open-source platform makes it easier to create 3D scenes from images

Just a few years ago, Berkeley engineers showed us how they could easily turn images into a 3D navigable scene using a technology called Neural Radiance Fields, or NeRF. Now, another team of Berkeley researchers has created a development framework to help speed up NeRF projects and make this technology more accessible to others.

Led by Angjoo Kanazawa, assistant professor of electrical engineering and computer sciences, the researchers have developed Nerfstudio, a Python framework that provides plug-and-play components for implementing NeRF-based methods, making it easier to collaborate and incorporate NeRF into projects. Kanazawa and her team will present their paper on Nerfstudio at SIGGRAPH 2023, and have published it as part of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings.

“Advancements in NeRF have contributed to its growing popularity and use in applications such as computer vision, robotics, and gaming. But support for development has been lagging,” said Kanazawa. “The Nerfstudio framework is intended to simplify the development of custom NeRF methods, the processing of real-world data and interacting with reconstructions.”

Bone Density Test Can Gauge Heart Attack Risk

A routine osteoporosis screening bone density test can also detect increased risk for a heart attack because of the presence of calcium in the aorta. But reading these images requires expertise and can be time-consuming.

Now, research from a multi-institution collaboration, including Harvard Medical School and Hebrew SeniorLife, reports that this calcification test score can be calculated quickly by using machine learning, without the need for a person to grade the scans.

Microsoft warns of service disruptions if it can’t get enough A.I. chips for its data centers

Those efforts and the interest in ChatGPT have led Microsoft to seek more GPUs than it had expected.

“I am thrilled that Microsoft announced Azure is opening private previews to their H100 AI supercomputer,” Jensen Huang, Nvidia’s CEO, said at his company’s GTC developer conference in March.

Microsoft has begun looking outside its own data centers to secure enough capacity, signing an agreement with Nvidia-backed CoreWeave, which rents out GPUs to third-party developers as a cloud service.

/* */