Technology

Self-driving vehicles are becoming increasingly popular as a form of transportation, with artificial intelligence playing a crucial role in their functionality. AI is used for decision-making, sensing, predictive modeling, and various other tasks that are essential for the operation of autonomous vehicles. As these vehicles become more prevalent on the roads, it is important to
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The evolution of Google search has been a tumultuous journey, marked by a shift away from the needs of consumers. The high-profile technology-industry critic Ed Zitron highlighted in an interview that Google’s pursuit of profit has led to a departure from its original mission. The company’s focus on revenue generation has transformed its search results
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Artificial intelligence is advancing rapidly, but a team of Alberta Machine Intelligence Institute (Amii) researchers has uncovered a significant hurdle in the field. In their paper titled “Loss of Plasticity in Deep Continual Learning,” published in Nature, they delve into a puzzling issue within machine learning models that has largely gone unnoticed. The team, led
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The realms of optical illusions, quantum mechanics, and neural networks may seem disparate at first glance. However, a recent study published in APL Machine Learning has delved into the fusion of these seemingly unrelated fields. The research explores the utilization of “quantum tunneling” to develop a neural network capable of perceiving optical illusions akin to
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Recently, artificial intelligence researchers made a shocking revelation about the misuse of popular AI image-generator tools. It was reported that more than 2,000 web links to suspected child sexual abuse imagery were found in a dataset known as LAION. This dataset, used by leading AI image-makers like Stable Diffusion and Midjourney, contained links to sexually
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The study conducted by researchers at the University of Toronto sheds light on the temporary changes in perception and movement patterns that occur when individuals engage with virtual reality (VR) and augmented reality (AR). These findings have significant implications for various industries that rely on these technologies for training purposes. One key aspect highlighted by
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The ability of robots to effectively manipulate various objects in real-world settings is crucial in assisting humans with daily tasks. The development of cost-effective robotic grippers or hand-like artificial systems is key to enabling dexterous object manipulation in robots. Recently, researchers at Improbable AI Lab and Massachusetts Institute of Technology (MIT) have introduced a new
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In recent years, there has been a significant advancement in the development of deep neural networks (DNNs) by computer scientists to address various real-world tasks. However, studies have shown that these models can exhibit unfair behavior due to biases in the data they were trained on and the hardware platforms they were deployed on. The
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