Humanoid robots, which have a body structure that mirrors that of humans, could rapidly and effectively tackle a wide range of tasks in real-world settings. These robots and their underlying control algorithms have improved considerably in recent years. Many of them...
Machine learning & AI
‘Indiana Jones’ jailbreak approach highlights the vulnerabilities of existing LLMs
Large language models (LLMs), such as the model underpinning the functioning of the conversational agent ChatGPT, are becoming increasingly widespread worldwide. As many people are now turning to LLM-based platforms to source information and write context-specific...
Continuous skill acquisition in robots: New framework mimics human lifelong learning
Humans are known to accumulate knowledge over time, which in turn allows them to continuously improve their abilities and skills. This capability, known as lifelong learning, has so far proved difficult to replicate in artificial intelligence (AI) and robotics systems.
Neuro-inspired AI framework uses reverse-order learning to enhance code generation
Large language models (LLMs), such as the model behind OpenAI's popular platform ChatGPT, have been found to successfully tackle a wide range of language processing and text generation tasks. Some of these models have also shown some promise for the generation of...
DarkMind: A new backdoor attack that leverages the reasoning capabilities of LLMs
Large language models (LLMs), such as the models supporting the functioning of ChatGPT, are now used by a growing number of people worldwide to source information or edit, analyze and generate texts. As these models become increasingly advanced and widespread, some...
Dual-domain architecture shows almost 40 times higher energy efficiency for running neural networks
Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design alternative architectures that could be better suited for running these models.
Dual-domain architecture shows almost 40 times higher energy efficiency for running neural networks
Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design alternative architectures that could be better suited for running these models.
Psychology-based tasks assess multi-modal LLM visual cognition limits
Over the past decades, computer scientists have created increasingly advanced artificial intelligence (AI) models, some of which can perform similarly to humans on specific tasks. The extent to which these models truly "think" and analyze information like humans,...
Delphi experiment tries to equip an AI agent with moral judgment
Advanced artificial intelligence (AI) tools, including LLM-based conversational agents such as ChatGPT, have become increasingly widespread. These tools are now used by countless individuals worldwide for both professional and personal purposes.
Automating penmanship: Researchers develop cost-effective, AI-enhanced robotic handwriting system
Recent advances in robotics and artificial intelligence (AI) are enabling the development of a wide range of systems with unique characteristics designed for varying real-world applications. These include robots that can engage in activities traditionally only...