2019年12月19日 · Coca Cola uses AI in vending machine in a number of ways that improve the business. These vary from using location data to plan sales points, to providing an innovative, personalised customer experience.

2024年2月13日 · FSMs are found in both hardware and software applications. Look around — almost all electronic and computing devices have some sort of finite automata — from vending machines to CPUs, from basic electronic devices to programmable logical controllers for smart home automation.

2024年12月11日 · For instance, suppose you wish to estimate the proportion of healthy snacks stocked in school vending machines. If your sampling frame is the New York City public school system, then inspecting every single vending machine in all 500+ schools in this system might be well beyond the financial reach of the agency funding your research.

2024年12月22日 · For beginners, I recommend a dual approach: coding practice combined with research literature. In coding your own projects, you get direct hands-on practice and can test various fields of interest. A quick web or GitHub search for “machine learning starter project” gives multiple results (e.g., this or this).

2024年12月16日 · No doubt, we’ve seen a lot of success around AI copilots in 2024, (just ask Github, Snowflake, the Microsoft paperclip, etc), but what about AI agents? While “agentic AI” has had a fun time wreaking havoc on customer support teams, it looks like that’s all it’s destined to be in the near term.

2024年12月25日 · In the article below, I will present my open-source project — AI Jira Assistant: a chat interface to interact with Jira via an AI agent, with a custom AI agent tool to triage newly created Jira tickets. All code has been made available via the GitHub repo at …

2022年2月16日 · This is a short guide on how to train an AI to play an arbitrary videogame using reinforcement learning. It shows step-by-step how to set up your custom game environment and train the AI utilizing the Stable-Baselines3 library.

2019年7月1日 · Machines’ strengths: transacting, iterating, predicting, calculating, recalling. Machines’ Competitive Advantage: While one doctor can make a diagnosis in about 10 minutes, in the same amount of time an AI system can make a …

2021年1月11日 · Hierarchical Finite State Machine resolves the issues in modularity and re-usability by introducing the Parent and Child State Machines concept. It also helps us to understand a more complex system by using the hierarchy of components.

2018年11月15日 · In this article, we will develop an AI agent that is able to learn how to play the popular game Snake from scratch. To do it, we implement a Deep Reinforcement Learning algorithm using both Keras on top of Tensorflow and PyTorch (both versions are available, you can choose the one you prefer) .