In the context of the Arab higher education sector, the chapter argues that using the capability approach can help evaluate the outcomes and benefits of AI integration, rather than relying on access metrics alone. Overall, the chapter argues that integrating AI tools like ChatGPT into Arab ...
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Pharmaceutical companies are using artificial intelligence to streamline the process of discovering new medicines. Machine-learning models can propose new molecules that have specific properties which could fight certain diseases, accomplishing in minutes what might take humans months to achieve manually. But...
To earn this Microsoft Applied Skills credential, learners demonstrate the ability to develop AI agents by using Azure OpenAI Service and the Semantic Kernel SDK. Candidates for this credential should be familiar with Visual Studio Code, C# programming, and Azure OpenAI. Quan tr...
Using deep learning and machine learning techniques, the researchers trained AI models to identify specific brain cells whose electrical activity indicated the intention to say "a" or "e." Once the computer learned to recognize the patterns of electrical activity associated with these two syllables ...
competitionusing complex feature engineering, gradient-boosted tree models, and special modeling of the competition’s F1 evaluation metric. Along the way, we documented the best practices for ETL, feature engineering, and building and customizing the best models for building an AI-based ...
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“This phenomenon, to the best of our knowledge, has not been documented before in AI systems,” he adds. The formation of collective biases could result in harmful biases, Baronchelli says, even if individual agents seem unbiased. He and his colleagues suggest that LLMs need to be tested ...