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]

Researchers at Edith Cowan University (ECU) are developing new computer tracking technology that takes data from camera footage to detect whether a driver is impaired by alcohol or not when they get behind the wheel.Researchers at Edith Cowan University (ECU) are developing new computer tracking technology that takes data from camera footage to detect whether a driver is impaired by alcohol or not when they get behind the wheel.Automotive[#item_full_content]

Imagine a future where your phone pings with a message that your dead father’s “digital immortal” bot is ready. This promise of chatting with a virtual version of your loved one—perhaps through a virtual reality (VR) headset—is like stepping into a sci-fi movie, both thrilling and a bit eerie.Imagine a future where your phone pings with a message that your dead father’s “digital immortal” bot is ready. This promise of chatting with a virtual version of your loved one—perhaps through a virtual reality (VR) headset—is like stepping into a sci-fi movie, both thrilling and a bit eerie.Business[#item_full_content]

Researchers have developed a new approach to AI security that employs text prompts to better protect AI systems from cyber threats. This method focuses on the creation of adversarial examples to prevent AI from being misled by inputs that are typically undetectable to humans.Researchers have developed a new approach to AI security that employs text prompts to better protect AI systems from cyber threats. This method focuses on the creation of adversarial examples to prevent AI from being misled by inputs that are typically undetectable to humans.Security[#item_full_content]

Image generator models—systems that produce new images based on textual descriptions—have become a common and well-known phenomenon in the past year. Their continuous improvement, largely relying on developments in the field of artificial intelligence, makes them an important resource in various fields.Image generator models—systems that produce new images based on textual descriptions—have become a common and well-known phenomenon in the past year. Their continuous improvement, largely relying on developments in the field of artificial intelligence, makes them an important resource in various fields.Computer Sciences[#item_full_content]