The troubled artificial intelligence company behind image-generator Stable Diffusion is looking for a reshoot with a new CEO and a surge of investment from a group that includes Sean Parker, Facebook’s former president and Napster’s co-founder.The troubled artificial intelligence company behind image-generator Stable Diffusion is looking for a reshoot with a new CEO and a surge of investment from a group that includes Sean Parker, Facebook’s former president and Napster’s co-founder.Machine learning & AI[#item_full_content]

Collaborations with private, non-federal partners through Space Act Agreements are a key component in the work done by NASA’s Interagency Implementation and Advanced Concepts Team (IMPACT). A collaboration with International Business Machines (IBM) has produced INDUS, a comprehensive suite of large language models (LLMs) tailored for the domains of Earth science, biological and physical sciences, heliophysics, planetary sciences, and astrophysics and trained using curated scientific corpora drawn from diverse data sources.Collaborations with private, non-federal partners through Space Act Agreements are a key component in the work done by NASA’s Interagency Implementation and Advanced Concepts Team (IMPACT). A collaboration with International Business Machines (IBM) has produced INDUS, a comprehensive suite of large language models (LLMs) tailored for the domains of Earth science, biological and physical sciences, heliophysics, planetary sciences, and astrophysics and trained using curated scientific corpora drawn from diverse data sources.Machine learning & AI[#item_full_content]

Vision loss and visual impairment have long been a significant concern for human well-being amid an increasingly aging population. In a collaborative effort by researchers from The Hong Kong Polytechnic University (PolyU) and The University of Waterloo, they have invented a groundbreaking device that utilizes Augmented Reality (AR) technology, revolutionizing navigation for visually impaired individuals on their world. This device offers them a newfound sense of independence and freedom.Vision loss and visual impairment have long been a significant concern for human well-being amid an increasingly aging population. In a collaborative effort by researchers from The Hong Kong Polytechnic University (PolyU) and The University of Waterloo, they have invented a groundbreaking device that utilizes Augmented Reality (AR) technology, revolutionizing navigation for visually impaired individuals on their world. This device offers them a newfound sense of independence and freedom.Hi Tech & Innovation[#item_full_content]

Caryn Marjorie is a social media influencer whose content has more than a billion views per month on Snapchat. She posts regularly, featuring everyday moments, travel memories, and selfies. Many of her followers are men, attracted by her girl-next-door aesthetic.Caryn Marjorie is a social media influencer whose content has more than a billion views per month on Snapchat. She posts regularly, featuring everyday moments, travel memories, and selfies. Many of her followers are men, attracted by her girl-next-door aesthetic.Machine learning & AI[#item_full_content]

Artificial intelligence (AI), now an integral part of our everyday lives, is becoming increasingly accessible and ubiquitous. Consequently, there’s a growing trend of AI advancements being exploited for criminal activities.Artificial intelligence (AI), now an integral part of our everyday lives, is becoming increasingly accessible and ubiquitous. Consequently, there’s a growing trend of AI advancements being exploited for criminal activities.Internet[#item_full_content]

The application of artificial intelligence (AI) has the potential to revolutionize the hands-on construction industry and contribute to long-term environmental sustainability in our built environment.The application of artificial intelligence (AI) has the potential to revolutionize the hands-on construction industry and contribute to long-term environmental sustainability in our built environment.Engineering[#item_full_content]

As sub-symbolic AI, like deep learning, continues to advance, its limitations in safety and reliability are becoming more apparent. Verification and stability are crucial in safety-critical domains such as humanoid robotics, which is rapidly evolving into a versatile tool for various applications. However, proving the correctness of AI-based self-learning algorithms is challenging due to their uncertain inferences and opaque decision-making processes.As sub-symbolic AI, like deep learning, continues to advance, its limitations in safety and reliability are becoming more apparent. Verification and stability are crucial in safety-critical domains such as humanoid robotics, which is rapidly evolving into a versatile tool for various applications. However, proving the correctness of AI-based self-learning algorithms is challenging due to their uncertain inferences and opaque decision-making processes.Robotics[#item_full_content]

By giving artificial intelligence simple associative learning rules based on the brain circuits that allow a sea slug to forage—and augmenting it with better episodic memory, like that of an octopus—scientists have built an AI that can navigate new environments, seek rewards, map landmarks and overcome obstacles.By giving artificial intelligence simple associative learning rules based on the brain circuits that allow a sea slug to forage—and augmenting it with better episodic memory, like that of an octopus—scientists have built an AI that can navigate new environments, seek rewards, map landmarks and overcome obstacles.Computer Sciences[#item_full_content]

Nearly all the neural networks that power modern artificial intelligence tools such as ChatGPT are based on a 1960s-era computational model of a living neuron. A new model developed at the Flatiron Institute’s Center for Computational Neuroscience (CCN) suggests that this decades-old approximation doesn’t capture all the computational abilities that real neurons possess and that this older model is potentially holding back AI development.Nearly all the neural networks that power modern artificial intelligence tools such as ChatGPT are based on a 1960s-era computational model of a living neuron. A new model developed at the Flatiron Institute’s Center for Computational Neuroscience (CCN) suggests that this decades-old approximation doesn’t capture all the computational abilities that real neurons possess and that this older model is potentially holding back AI development.Machine learning & AI[#item_full_content]

The world of artificial intelligence (AI) has recently seen significant advancements in generative models, a type of machine-learning algorithm that “learns” patterns from sets of data in order to generate new, similar sets of data. Generative models are often used for things like drawing images and natural language generation—a famous example are the models used to develop chatGPT.The world of artificial intelligence (AI) has recently seen significant advancements in generative models, a type of machine-learning algorithm that “learns” patterns from sets of data in order to generate new, similar sets of data. Generative models are often used for things like drawing images and natural language generation—a famous example are the models used to develop chatGPT.Machine learning & AI[#item_full_content]