An Aston University researcher has suggested a more human-friendly way of reading websites’ long-winded privacy notices.An Aston University researcher has suggested a more human-friendly way of reading websites’ long-winded privacy notices.[#item_full_content]

Researchers from the University of Oxford have made a significant advance toward ensuring that information produced by generative artificial intelligence (AI) is robust and reliable.Researchers from the University of Oxford have made a significant advance toward ensuring that information produced by generative artificial intelligence (AI) is robust and reliable.[#item_full_content]

It reads. It talks. It collates mountains of data and recommends business decisions. Today’s artificial intelligence might seem more human than ever. However, AI still has several critical shortcomings.It reads. It talks. It collates mountains of data and recommends business decisions. Today’s artificial intelligence might seem more human than ever. However, AI still has several critical shortcomings.[#item_full_content]

Imagine driving through a tunnel in an autonomous vehicle, but unbeknownst to you, a crash has stopped traffic up ahead. Normally, you’d need to rely on the car in front of you to know you should start braking. But what if your vehicle could see around the car ahead and apply the brakes even sooner?Imagine driving through a tunnel in an autonomous vehicle, but unbeknownst to you, a crash has stopped traffic up ahead. Normally, you’d need to rely on the car in front of you to know you should start braking. But what if your vehicle could see around the car ahead and apply the brakes even sooner?[#item_full_content]

The need for efficient and fast data processing tools in industries that manage large-scale graph data has led to the development of GraphCP, a technology that dramatically improves processing speeds.The need for efficient and fast data processing tools in industries that manage large-scale graph data has led to the development of GraphCP, a technology that dramatically improves processing speeds.[#item_full_content]

Large language models (LLMs), such as the GPT-4 model underpinning the widely used conversational platform ChatGPT, have surprised users with their ability to understand written prompts and generate suitable responses in various languages. Some of us may thus wonder: are the texts and answers generated by these models so realistic that they could be mistaken for those written by humans?Large language models (LLMs), such as the GPT-4 model underpinning the widely used conversational platform ChatGPT, have surprised users with their ability to understand written prompts and generate suitable responses in various languages. Some of us may thus wonder: are the texts and answers generated by these models so realistic that they could be mistaken for those written by humans?[#item_full_content]

Both living creatures and AI-driven machines need to act quickly and adaptively in response to situations. In psychology and neuroscience, behavior can be categorized into two types—habitual (fast and simple but inflexible), and goal-directed (flexible but complex and slower).Both living creatures and AI-driven machines need to act quickly and adaptively in response to situations. In psychology and neuroscience, behavior can be categorized into two types—habitual (fast and simple but inflexible), and goal-directed (flexible but complex and slower).[#item_full_content]

Large language models like those that power ChatGPT have shown impressive performance on tasks like drafting legal briefs, analyzing the sentiment of customer reviews, or translating documents into different languages.Large language models like those that power ChatGPT have shown impressive performance on tasks like drafting legal briefs, analyzing the sentiment of customer reviews, or translating documents into different languages.[#item_full_content]

Consensus problems, where a group of agents, such as unmanned vehicles, machines, or robots, need to agree on certain variables only through local communication within themselves, have attracted considerable attention as a fundamental issue in cooperative control of multi-agent systems. Simply put, a multi-agent system comprises multiple decision-making agents that interact among themselves in a common environment to achieve common or conflicting goals depending on the situation.Consensus problems, where a group of agents, such as unmanned vehicles, machines, or robots, need to agree on certain variables only through local communication within themselves, have attracted considerable attention as a fundamental issue in cooperative control of multi-agent systems. Simply put, a multi-agent system comprises multiple decision-making agents that interact among themselves in a common environment to achieve common or conflicting goals depending on the situation.[#item_full_content]

Last year, the Writers Guild of America (WGA) labor union, which represents film and TV writers, went on strike for nearly five months, in part to regulate AI’s role in scriptwriting. “Alexa will not replace us,” read one picket sign.Last year, the Writers Guild of America (WGA) labor union, which represents film and TV writers, went on strike for nearly five months, in part to regulate AI’s role in scriptwriting. “Alexa will not replace us,” read one picket sign.[#item_full_content]