Applied
Artificial Intelligence
The Floyd-Warshall Algorithm From Graph Theory, Applied to Parsing Molecular Structures
Hands-on explanations assisted by easy JavaScript codeThe Floyd-Warshall algorithm is crucial in graph theory because it provides an efficient means to compute the shortest paths between all pairs of nodes in a graph. This...
Artificial Intelligence
Applied Python Chronicles: A Gentle Intro to Pydantic
What about default values and argument extractions?from pydantic import validate_call@validate_call(validate_return=True)def add(*args: int, a: int, b: int = 4) -> int:return str(sum(args) + a + b)# ----add(4,3,4)> ValidationError: 1 validation error for addaMissing required keyword...
Artificial Intelligence
The ‘instruction layer’ applied to ‘GPT-4o mini’
The 'Instruction Hierarchy' that OpenAI first applied to 'GPT-4o Mini' was revealed to be a method to prioritize prompts. This is meant to strengthen the flexibility to withstand jailbreak against prompt attacks.
OpenAI released the...
Artificial Intelligence
Applied Intuition lands $6B valuation for AI-powered autonomous vehicle software
Autonomous vehicle software company Applied Intuition has raised $250 million in a round that values the startup at $6 billion, because it pushes to bring more artificial intelligence to the automotive, defense, construction and...
Artificial Intelligence
Applied Innovation for Good — Leveraging AI to decode the bee waggle dance The Background Our Approach Our learnings and proposals Acknowledgments
As a part of the Tech4PositiveFutures initiative, Capgemini’s Applied Innovation Exchange London have partnered with Pollenize, a UK-based Community Interest Company (CIC), to explore the opportunity of using machine learning and artificial intelligence to...
Artificial Intelligence
Guide to Time Series Evaluation with Python — 1: Evaluation Techniques and Baseline Model Time Series Components Naive Prediction Random Walk Understanding if the Data is Stationary Autocorrelation Function When...
Time series evaluation is a technique utilized in various industries, equivalent to stock market prediction, product price forecasting, weather forecasting, cryptocurrency prediction, etc., to forecast future values based on historical data.Time series will be...
Artificial Intelligence
A Lesson on Applied Reinforcement Learning in Production
Reinforcement Learning (RL) has gained significant popularity as a technology for achieving superhuman performance in a variety of applications, from games, complex physical control to mathematical computations. Although RL has produced impressive research advancements,...
Artificial Intelligence
Multi-Armed Bandits Applied to Order Allocation amongst Execution Algorithms
Finding the suitable balance between exploitation and explorationAllocating orders? Embrace uncertainty!The dummy example simulation results strongly indicate that relying solely on a greedy approach may not yield optimal outcomes. It's, due to this fact,...
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