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Report: AI is advancing beyond humans, we need new benchmarks
Stanford University released its AI Index Report 2024 which noted that AI’s rapid advancement makes benchmark comparisons with humans increasingly less relevant. The annual report provides a comprehensive insight into the trends and state of AI developments. The report says that AI models are improving so fast now that the benchmarks we use to measure them are increasingly becoming irrelevant. A lot of industry benchmarks compare AI models to how good humans are at performing tasks. The Massive Multitask Language Understanding (MMLU) benchmark is a good example. It uses multiple-choice questions to evaluate LLMs across 57 subjects, including math, history,
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How AI Helps to Prevent Food Waste
The food and beverage industry has undergone a significant transformation in response to changing consumer demands. Consumers now expect fast, affordable, and easily accessible food options, leading to a surge in innovative startups and tech collaborations. In this dynamic market environment, companies must adopt cutting-edge technologies such as Artificial Intelligence (AI) and Machine Learning (ML) solutions to stay relevant, manage waste, and scale-up operations. Food waste is a significant concern in the industry, with nearly 30-40% of food waste being eliminated at the retail and consumer levels, equating to USD 161 billion worth of food in 2010. Transportation, storage, and […]
Convolutional Neural Networks (CNNs) Explained
In the realm of artificial intelligence and machine learning, Convolutional Neural Networks (CNNs) have emerged as a powerful tool for image recognition, processing, and classification. Their unique architecture and ability to learn spatial hierarchies make them particularly effective for tasks involving visual data. In this blog post, we will delve into the intricacies of CNNs, their components, and their applications. What are Convolutional Neural Networks? Convolutional Neural Networks (CNNs) are a class of deep neural networks that are particularly well-suited for analyzing visual imagery. Inspired by the visual cortex of animals, CNNs are designed to automatically and adaptively learn spatial […]