The explosive growth of AI “chatbots” over the last few years and their ability to generate text that simulates human writing, often very accurately, has focused attention on how text is structured.The explosive growth of AI “chatbots” over the last few years and their ability to generate text that simulates human writing, often very accurately, has focused attention on how text is structured.[#item_full_content]

The recent widespread and long-lasting chaos caused by Microsoft outages across the globe exemplifies just how integral computing has become to our lives. Yet, as computer hardware and software improve, arguably the most sophisticated and powerful computer we know of is still the human brain.The recent widespread and long-lasting chaos caused by Microsoft outages across the globe exemplifies just how integral computing has become to our lives. Yet, as computer hardware and software improve, arguably the most sophisticated and powerful computer we know of is still the human brain.[#item_full_content]

After the advent of ChatGPT, the readily available model developed by Open AI, large language models (LLMs) have become increasingly widespread, with many online users now accessing them daily to quickly get answers to their queries, source information or produce customized texts. Despite their striking ability to rapidly define words and generate written texts pertinent to a user’s queries, the answers given by these models are not always accurate and reliable.After the advent of ChatGPT, the readily available model developed by Open AI, large language models (LLMs) have become increasingly widespread, with many online users now accessing them daily to quickly get answers to their queries, source information or produce customized texts. Despite their striking ability to rapidly define words and generate written texts pertinent to a user’s queries, the answers given by these models are not always accurate and reliable.[#item_full_content]

Digital tools can alter images of ourselves and others in ways that are more convincing and harder to detect than ever before. They can create spectacular special effects in movies. But they are also used with the images or voices of people without their consent, or to create propaganda with the intent to fool people.Digital tools can alter images of ourselves and others in ways that are more convincing and harder to detect than ever before. They can create spectacular special effects in movies. But they are also used with the images or voices of people without their consent, or to create propaganda with the intent to fool people.[#item_full_content]

Whether it’s the Oscars, the Tonys, or the Grammys, observers annually make predictions as to which actor, film, musical, or song will win these coveted awards—with forecasts based on what experts say impresses the voters. “Grammy voters love to give Record of the Year to a carefully crafted throwback jam,” the Los Angeles Times wrote ahead of this year’s Grammy Awards.Whether it’s the Oscars, the Tonys, or the Grammys, observers annually make predictions as to which actor, film, musical, or song will win these coveted awards—with forecasts based on what experts say impresses the voters. “Grammy voters love to give Record of the Year to a carefully crafted throwback jam,” the Los Angeles Times wrote ahead of this year’s Grammy Awards.[#item_full_content]

Haptic feedback stands as a cornerstone for the authenticity and depth of engagement in virtual reality and teleoperation systems. Yet, existing haptic devices have grappled with the fidelity of replicating tactile properties, hindered by the constraints on their degrees of freedom and expressive range. This limitation has ignited an urgent quest for innovative solutions that can augment the responsiveness and adaptability of haptic systems.Haptic feedback stands as a cornerstone for the authenticity and depth of engagement in virtual reality and teleoperation systems. Yet, existing haptic devices have grappled with the fidelity of replicating tactile properties, hindered by the constraints on their degrees of freedom and expressive range. This limitation has ignited an urgent quest for innovative solutions that can augment the responsiveness and adaptability of haptic systems.[#item_full_content]

A recent study introduces MARISMA, a new framework developed to address limitations in existing risk analysis models for cybersecurity. The study conducted by Prof. Antonio Santos-Olmo and his team identifies 10 major weaknesses in current models, leading to the development of MARISMA.A recent study introduces MARISMA, a new framework developed to address limitations in existing risk analysis models for cybersecurity. The study conducted by Prof. Antonio Santos-Olmo and his team identifies 10 major weaknesses in current models, leading to the development of MARISMA.[#item_full_content]

A team of AI researchers at the Chinese technology company Baidu Inc. is proposing a new reasoning framework designed to improve the reliability and traceability of LLMs. The group has published a paper describing their ideas on the arXiv preprint server.A team of AI researchers at the Chinese technology company Baidu Inc. is proposing a new reasoning framework designed to improve the reliability and traceability of LLMs. The group has published a paper describing their ideas on the arXiv preprint server.[#item_full_content]

Generative artificial intelligence (AI) models like OpenAI’s GPT-4o or Stability AI’s Stable Diffusion are surprisingly capable at creating new text, code, images and videos. Training them, however, requires such vast amounts of data that developers are already running up against supply limitations and may soon exhaust training resources altogether.Generative artificial intelligence (AI) models like OpenAI’s GPT-4o or Stability AI’s Stable Diffusion are surprisingly capable at creating new text, code, images and videos. Training them, however, requires such vast amounts of data that developers are already running up against supply limitations and may soon exhaust training resources altogether.[#item_full_content]

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