Technology

In the world of computer science, bipartite matching is a fundamental problem that arises in various real-world scenarios such as ridesharing apps, organ donations, and advertising. This problem involves pairing entities from two disjoint sets in a way that maximizes overall efficiency and satisfaction. Cold Spring Harbor Laboratory Associate Professor Saket Navlakha has made significant
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In the ongoing COOLBat joint research project, experts from the Fraunhofer Institute for Machine Tools and Forming Technology IWU have collaborated with industry partners to develop cutting-edge battery enclosures for electric vehicles. The primary goal of this project is to enhance the efficiency of electric vehicles by creating lighter enclosures that reduce carbon dioxide emissions
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Self-driving vehicles have made significant advancements in recent years, thanks to the integration of artificial intelligence (AI) technology. This technology plays a crucial role in decision-making, sensing, and predictive modeling for autonomous vehicles. However, ongoing research at the University at Buffalo raises concerns regarding the vulnerability of AI systems in self-driving vehicles to malicious attacks.
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In a recent interview, Microsoft’s Vice President, Vik Singh, highlighted a crucial aspect missing in current generative AI models – the ability to admit when they are unsure and seek help. Singh emphasized the necessity for AI models, such as Copilot, to acknowledge their limitations and avoid providing inaccurate or misleading information to users. Despite
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The research published in APL Machine Learning has brought together the worlds of optical illusions, quantum mechanics, and neural networks in a groundbreaking way. By leveraging “quantum tunneling,” the researcher was able to design a neural network that mimics human perception of optical illusions such as the Necker cube and Rubin’s vase. This neural network
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Artificial Intelligence (AI) has become an integral part of our lives, shaping the way we interact with technology and influencing various aspects of society. However, a recent study conducted by a team of AI researchers has shed light on a concerning issue – the presence of covert racism in Language Models (LLMs). This revelation highlights
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Ethiopia recently announced that it has significantly increased its electricity production from the Grand Ethiopian Renaissance Dam (GERD) on the Blue Nile by activating two additional turbines. This multi-billion-dollar project has been a subject of contention between Ethiopia and downstream nations like Egypt and Sudan. The completion of the dam’s construction has marked a transition
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In recent years, the development of deep neural networks (DNNs) has seen significant progress in addressing real-world challenges. However, studies have shown that these models can exhibit unfairness, especially when it comes to recognizing features based on skin color. This raises questions about the impact of training data and hardware platforms on AI fairness. Research
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