In a paper published in Intelligent Computing, Philip Nicholas Johnson-Laird of Princeton University and Marco Ragni of Chemnitz University of Technology propose a novel alternative to the Turing test, a milestone test developed by computing pioneer Alan Turing. The paper suggests that it is time to shift the focus from whether a machine can mimic human responses to a more fundamental question: “Does a program reason in the way that humans reason?”In a paper published in Intelligent Computing, Philip Nicholas Johnson-Laird of Princeton University and Marco Ragni of Chemnitz University of Technology propose a novel alternative to the Turing test, a milestone test developed by computing pioneer Alan Turing. The paper suggests that it is time to shift the focus from whether a machine can mimic human responses to a more fundamental question: “Does a program reason in the way that humans reason?”[#item_full_content]

Data is the new soil, and in this fertile new ground, MIT researchers are planting more than just pixels. By using synthetic images to train machine learning models, a team of scientists recently surpassed results obtained from traditional “real-image” training methods.Data is the new soil, and in this fertile new ground, MIT researchers are planting more than just pixels. By using synthetic images to train machine learning models, a team of scientists recently surpassed results obtained from traditional “real-image” training methods.[#item_full_content]

Graphs are essential tools for visualizing complex information, from social networks to biological pathways. However, designing these graphs can be challenging, as it involves balancing aesthetics with the practicality of automatic generation.Graphs are essential tools for visualizing complex information, from social networks to biological pathways. However, designing these graphs can be challenging, as it involves balancing aesthetics with the practicality of automatic generation.[#item_full_content]

While most robots are initially tested in laboratory settings and other controlled environments, they are designed to be deployed in real-world environments, helping humans to tackle various problems. Navigating real-world environments entails dealing with high levels of uncertainty and unpredictability, particularly when robots are completing missions as a team.While most robots are initially tested in laboratory settings and other controlled environments, they are designed to be deployed in real-world environments, helping humans to tackle various problems. Navigating real-world environments entails dealing with high levels of uncertainty and unpredictability, particularly when robots are completing missions as a team.[#item_full_content]

In the last year, large language models (LLMs) have come into prominence for boasting a suite of ever-expanding capabilities including text generation, image production, and, more recently, highly descriptive image analysis. The integration of artificial intelligence (AI) into image analysis represents a significant shift in how people understand and interact with visual data, a task that historically has been reliant on vision to see and knowledge to contextualize.In the last year, large language models (LLMs) have come into prominence for boasting a suite of ever-expanding capabilities including text generation, image production, and, more recently, highly descriptive image analysis. The integration of artificial intelligence (AI) into image analysis represents a significant shift in how people understand and interact with visual data, a task that historically has been reliant on vision to see and knowledge to contextualize.[#item_full_content]

A new algorithm that can enhance covert communication without compromising data integrity is reported in the International Journal of Autonomous and Adaptive Communications Systems.A new algorithm that can enhance covert communication without compromising data integrity is reported in the International Journal of Autonomous and Adaptive Communications Systems.[#item_full_content]

Four years ago, UC Santa Cruz’s Jason Eshraghian developed a Python library that combines neuroscience with artificial intelligence to create spiking neural networks, a machine learning method that takes inspiration from the brain’s ability to efficiently process data. Now, his open source code library, called “snnTorch,” has surpassed 100,000 downloads and is used in a wide variety of projects, from NASA satellite tracking efforts to semiconductor companies optimizing chips for AI.Four years ago, UC Santa Cruz’s Jason Eshraghian developed a Python library that combines neuroscience with artificial intelligence to create spiking neural networks, a machine learning method that takes inspiration from the brain’s ability to efficiently process data. Now, his open source code library, called “snnTorch,” has surpassed 100,000 downloads and is used in a wide variety of projects, from NASA satellite tracking efforts to semiconductor companies optimizing chips for AI.[#item_full_content]

A team of AI researchers from EquiLibre Technologies, Sony AI, Amii and Midjourney, working with Google’s DeepMind project, has developed an AI system called Student of Games (SoG) that is capable of both beating humans at a variety of games and learning to play new ones. In their paper published in the journal Science Advances, the group describes the new system and its capabilities.A team of AI researchers from EquiLibre Technologies, Sony AI, Amii and Midjourney, working with Google’s DeepMind project, has developed an AI system called Student of Games (SoG) that is capable of both beating humans at a variety of games and learning to play new ones. In their paper published in the journal Science Advances, the group describes the new system and its capabilities.[#item_full_content]

A study aimed at improving the accuracy and reliability of grid electricity meters, particularly under challenging on-site conditions is published in the International Journal of Information and Communication Technology. The research offers practical suggestions for assessing and optimizing measurement performance.A study aimed at improving the accuracy and reliability of grid electricity meters, particularly under challenging on-site conditions is published in the International Journal of Information and Communication Technology. The research offers practical suggestions for assessing and optimizing measurement performance.[#item_full_content]

A team of researchers led by Assoc Prof Lu Shijian from the NTU School of Computer Science and Engineering has developed a computer program that creates realistic videos that reflect the facial expressions and head movements of the person speaking, only requiring an audio clip and a face photo.A team of researchers led by Assoc Prof Lu Shijian from the NTU School of Computer Science and Engineering has developed a computer program that creates realistic videos that reflect the facial expressions and head movements of the person speaking, only requiring an audio clip and a face photo.[#item_full_content]