Researchers at Meta AI, Stanford University, Technische, Universität Dresden and the German Cancer Research Center (DFKZ) recently developed DIGIT Pinki, a miniature-sized sensor that can detect tactile information. This sensor, presented in a paper posted to the preprint server arXiv, could be integrated in new medical technologies and robotic systems.Researchers at Meta AI, Stanford University, Technische, Universität Dresden and the German Cancer Research Center (DFKZ) recently developed DIGIT Pinki, a miniature-sized sensor that can detect tactile information. This sensor, presented in a paper posted to the preprint server arXiv, could be integrated in new medical technologies and robotic systems.Robotics[#item_full_content]
Researchers at Meta AI, Stanford University, Technische, Universität Dresden and the German Cancer Research Center (DFKZ) recently developed DIGIT Pinki, a miniature-sized sensor that can detect tactile information. This sensor, presented in a paper posted to the preprint server arXiv, could be integrated in new medical technologies and robotic systems.Researchers at Meta AI, Stanford University, Technische, Universität Dresden and the German Cancer Research Center (DFKZ) recently developed DIGIT Pinki, a miniature-sized sensor that can detect tactile information. This sensor, presented in a paper posted to the preprint server arXiv, could be integrated in new medical technologies and robotic systems.[#item_full_content]
Our muscles are nature’s perfect actuators—devices that turn energy into motion. For their size, muscle fibers are more powerful and precise than most synthetic actuators. They can even heal from damage and grow stronger with exercise.Our muscles are nature’s perfect actuators—devices that turn energy into motion. For their size, muscle fibers are more powerful and precise than most synthetic actuators. They can even heal from damage and grow stronger with exercise.[#item_full_content]
One of the pioneers of Explainable AI has developed an advanced model that explains how and why AI works. The model opens up AI’s mysterious “black box” and is available for virtually all AI systems.One of the pioneers of Explainable AI has developed an advanced model that explains how and why AI works. The model opens up AI’s mysterious “black box” and is available for virtually all AI systems.Machine learning & AI[#item_full_content]
Over the past year, the prevalence and potential dangers of deepfakes have raised concerns related to personal privacy, business ethics and even election interference.Over the past year, the prevalence and potential dangers of deepfakes have raised concerns related to personal privacy, business ethics and even election interference.Security[#item_full_content]
Do you start your ChatGPT prompts with a friendly greeting? Have you asked for the output in a certain format? Should you offer a monetary tip for its service? Researchers interact with large language models (LLMs), such as ChatGPT, in many ways, including to label their data for machine learning tasks. There are few answers to how small changes to a prompt can affect the accuracy of these labels.Do you start your ChatGPT prompts with a friendly greeting? Have you asked for the output in a certain format? Should you offer a monetary tip for its service? Researchers interact with large language models (LLMs), such as ChatGPT, in many ways, including to label their data for machine learning tasks. There are few answers to how small changes to a prompt can affect the accuracy of these labels.Machine learning & AI[#item_full_content]
A mob set fire to a Waymo self-driving taxi in San Francisco last month as residents’ anger about the cars boiled over.A mob set fire to a Waymo self-driving taxi in San Francisco last month as residents’ anger about the cars boiled over.Automotive[#item_full_content]
Nonlinear systems have applications in many diverse fields from robotics to economics. Unlike linear systems, the output is not proportional to the input is such systems. A classic example is the motion of a pendulum. Due to the inherent nature of nonlinear systems, their mathematical modeling and, consequently, control is difficult.Nonlinear systems have applications in many diverse fields from robotics to economics. Unlike linear systems, the output is not proportional to the input is such systems. A classic example is the motion of a pendulum. Due to the inherent nature of nonlinear systems, their mathematical modeling and, consequently, control is difficult.[#item_full_content]
The biological brain, especially the human brain, is a desirable computing system that consumes little energy and runs at high efficiency. To build a computing system just as good, many neuromorphic scientists focus on designing hardware components intended to mimic the elusive learning mechanism of the brain.The biological brain, especially the human brain, is a desirable computing system that consumes little energy and runs at high efficiency. To build a computing system just as good, many neuromorphic scientists focus on designing hardware components intended to mimic the elusive learning mechanism of the brain.[#item_full_content]
The biological brain, especially the human brain, is a desirable computing system that consumes little energy and runs at high efficiency. To build a computing system just as good, many neuromorphic scientists focus on designing hardware components intended to mimic the elusive learning mechanism of the brain.The biological brain, especially the human brain, is a desirable computing system that consumes little energy and runs at high efficiency. To build a computing system just as good, many neuromorphic scientists focus on designing hardware components intended to mimic the elusive learning mechanism of the brain.Computer Sciences[#item_full_content]
