Learn how deep learning is revolutionizing the study of explosive perchlorate salts, offering safer alternatives to traditional methods and advancing our understanding of molecular structures.
Use of deep learning in chemistry as researchers employ artificial intelligence to uncover the molecular mysteries behind explosive perchlorate salts.
FDA approved the device by DermaSensor last week.
In a recent pioneering development, the US Food and Drug Administration (FDA) granted marketing authorization to the DermaSensor, an artificial intelligence-powered hand-held device designed for the early detection of skin cancers such as melanoma, basal cell carcinoma, and squamous cell carcinoma.
Predominantly tailored for use by primary care physicians, DermaSensor uses elastic scattering spectroscopy to look at cellular and subcellular characteristics of suspicious skin lesions.
This breakthrough technology is aimed at empowering healthcare providers with an innovative tool for more accurate and timely diagnosis.
Tesla is gearing up to build its next-generation Dojo supercomputer at its Gigafactory in Buffalo, New York, as part of a $500 million investment announced by the state’s governor on Friday.
The Dojo supercomputer is designed to process massive amounts of data from Tesla’s vehicles and train its artificial intelligence (AI) systems for autonomous driving and other applications. It is expected to be one of the most powerful computing clusters in the world, surpassing the current leader, NVIDIA.
Soft robots, medical devices, and wearable devices are now common in our daily routines. Researchers at KAIST have created a fluid switch that employs ionic polymer artificial muscles. This switch functions with ultra-low power while generating a force 34 times its own weight. Fluid switches are designed to direct the flow of fluid, guiding it in specific directions to initiate different movements.
KAIST (President Kwang-Hyung Lee) announced on the 4th of January that a research team under Professor IlKwon Oh from the Department of Mechanical Engineering has developed a soft fluidic switch that operates at ultra-low voltage and can be used in narrow spaces.
Stanford researchers have developed a new phase-change memory that could help computers process large amounts of data faster and more efficiently.
We are tasking our computers with processing ever-increasing amounts of data to speed up drug discovery, improve weather and climate predictions, train artificial intelligence, and much more. To keep up with this demand, we need faster, more energy-efficient computer memory than ever before.
Innovations in Memory Technology.
Compared to robots, human bodies are flexible, capable of fine movements, and can convert energy efficiently into movement. Drawing inspiration from human gait, researchers from Japan crafted a two-legged biohybrid robot by combining muscle tissues and artificial materials. Publishing on January 26 in the journal Matter, this method allows the robot to walk and pivot.
Research on biohybrid robots, which are a fusion of biology and mechanics, is recently attracting attention as a new field of robotics featuring biological function. Using muscle as actuators allows us to build a compact robot and achieve efficient, silent movements with a soft touch.
“You want the robot to help others, not others, help the robot,” emphasized Peter Dend, product manager at DEEP Robotics, who dived into the future of Quadruped Robotics during a webinar conducted by Interesting Engineering.
In IE’s first webinar of 2024, a DEEP Robotics representative unveiled a series of robot models employed for various tasks in real time, such as the Robot-Group-Control Dance Show at the 19th Hangzhou Asian Games.
The firm highlighted its partnership with the Zhejiang Lab, which used coordinated group control technology to combine bipedal and quadruped robots to perform the Asian Games Village theme song “Love Together.”
Gorgan Mohammadi, A., Ganjtabesh, M. Sci Rep 14, 1945 (2024). https://doi.org/10.1038/s41598-024-52299-7