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]
Climbing robots could have many valuable real-world applications, ranging from the completion of maintenance tasks on roofs or other tall structures to the delivery of parcels or survival kits in locations that are difficult to access. To be successfully deployed in real-world settings, however, these robots should be able to effectively sense and map their surroundings, while also accurately predicting where they are located within mapped environments.Climbing robots could have many valuable real-world applications, ranging from the completion of maintenance tasks on roofs or other tall structures to the delivery of parcels or survival kits in locations that are difficult to access. To be successfully deployed in real-world settings, however, these robots should be able to effectively sense and map their surroundings, while also accurately predicting where they are located within mapped environments.[#item_full_content]
Social media influencers have embraced artificial intelligence to spice up their content but they are also facing growing competition from AI-generated Instagramers, TikTokers and YouTubers.Social media influencers have embraced artificial intelligence to spice up their content but they are also facing growing competition from AI-generated Instagramers, TikTokers and YouTubers.Internet[#item_full_content]
Recently, artificial intelligence (AI) has been cast as a problem in the urgent, international effort to tackle climate change. As AI plays a greater role in our lives, it will need enormous amounts of computing power and data storage.Recently, artificial intelligence (AI) has been cast as a problem in the urgent, international effort to tackle climate change. As AI plays a greater role in our lives, it will need enormous amounts of computing power and data storage.Energy & Green Tech[#item_full_content]
The effective operation of robots from a distance, also known as teleoperation, could allow humans to complete a vast range of manual tasks remotely, including risky and complex procedures. Yet teleoperation could also be used to compile datasets of human motions, which could help to train humanoid robots on new tasks.The effective operation of robots from a distance, also known as teleoperation, could allow humans to complete a vast range of manual tasks remotely, including risky and complex procedures. Yet teleoperation could also be used to compile datasets of human motions, which could help to train humanoid robots on new tasks.Robotics[#item_full_content]
