However, data is the fuel of Artificial Intelligence. AI needs vast amounts of data in order to start generating usable insights. Large Language Models (LLM) are a subset of AI where the algorithm is ...

Symmetric algorithms like AES can encrypt and decrypt data quickly, making them ideal for applications requiring real-time or bulk data processing. 2. Strength Against Brute Force Attacks ...

Whenever we mull over what film to watch on Netflix, or deliberate between different products on an e-commerce platform, the ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Traditional hydrological models are increasingly being replaced or enhanced by data-driven approaches capable of learning ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Amid all the hype and hysteria about ChatGPT, Bard, and other generative large language models (LLMs), it’s worth taking a step back to look at the gamut of AI algorithms and their uses. After ...

Certainly, AI has many moving parts that need to be synchronized, with each part critical to its success. Data needs to be properly collected, vetted, cleansed, and be as accurate as possible.

CSCA 5414: Dynamic Programming, Greedy Algorithms – Cross-listed with DTSA 5503 CSCA 5424: Approximation Algorithms and Linear Programming CSCA 5454: Advanced Data Structures, RSA and Quantum ...