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Nov 08 2024SCIENCE

Insects' Smell Syncs with Time: The Secret Rhythms of Their Noses

Ever wondered how insects know the right time to find food or avoid enemies? It's all about timing, especially when it comes to their sense of smell! Insects live in a world full of rhythms, like day and night cycles, temperature changes, and even when their food is available or predators are active

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Nov 08 2024TECHNOLOGY

Unraveling Uncertainty: A Fresh Look at Data Clustering with IoT

Clustering data that's uncertain is a big deal in the Internet of Things. One way to do this is by using possible world-based algorithms. But these algorithms have two main problems. First, they treat all possible worlds equally, even the oddball ones that can mess things up. Second, they don't use

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Nov 07 2024CRYPTO

Crypto Safety Check: Spotting Risky Ones with AI

Cryptocurrencies have been grabbing headlines and investor attention lately. But before diving in, it's crucial to understand what makes crypto prices tick and which ones might be too risky. This piece explores how AI can help by analyzing historical data and on-chain parameters. You know, those bit

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Nov 06 2024TECHNOLOGY

Weather in Motion: A New Way to See Through the Lens

Have you ever taken a photo outside only to find that the weather messed up your shot? It turns out, computers have the same problem. Existing methods treat weather as a simple label, like "sunny" or "rainy". But weather isn't that black and white. It's always changing and blurring the lines. So, re

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Sep 16 2024TECHNOLOGY

Quantum Computing's Cryptic Challenge: Microsoft Updates Security Library

As the threat of quantum computing looms, Microsoft has taken a crucial step in securing its core cryptographic library, SymCrypt, with two new encryption algorithms designed to withstand attacks from these powerful machines. But how vulnerable are our current encryption methods, and what does the f

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Aug 27 2024SCIENCE

Robots Get Their Homework: The Emergence of Autonomous Skill Improvement

In a groundbreaking development, researchers have unveiled an algorithm that empowers robots to identify and address their own skill deficiencies, subsequently dedicating focused practice sessions to enhance overall performance. Dubbed the 'Estimate, Extrapolate, and Situate' (EES) algorithm, this i

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