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In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such ...
In today's rapidly advancing technological era, mathematics is undoubtedly the cornerstone of intelligent systems. From the laws of physics to the core algorithms of artificial intelligence, ...
In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and reverse-engineer the rules.
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
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6 steps to train an AI model to do whatever you want
A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
The study, titled "Machine Learning Technique for Carbon Sequestration Estimation of Mango Orchards Area Using Sentinel-2 Data," is led by Prof. Sittichai Choosumrong from the Department of Natural ...
An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new ...
The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...
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