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Advancements in artificial intelligence and language models have made significant impacts in various fields from healthcare to finance to entertainment. Here are 50 practical applications of AI that are currently in use or have the potential to be implemented in various industries. Let me know if any of these ideas inspire you or if you build any of them! Text Analysis Automatically generate outlines or summaries of news articles. Find fake news and provide a citation with the real source. Determine the political affiliation and bias of a news article. Generate better captions/subtitles for shows translated from foreign languages. Generate lyrics for songs based on a topic and song structure. Generate summary of court opinions or court transcripts to understand legal proceedings better. Annotate legal documents for specific clauses (https://github.com/lucaspauker/extract-contract). Find similar academic papers to an input prompt. Generate lyric annotations (like Genius) automatically by using information on the internet. Better Google search suggestions with language models. Generate personalized poems for someone. AI Assistance Generate code from comments or pseudocode. Translate code from one coding language to another. Generate automatic email reply suggestions based on your writing style. Generate a cover letter based on your resume and the company website you are applying for. Suggest edits to a paper like Grammarly. Automatically generate simple math questions (for example arithmetic word problems). Automatically grade essays or automatically grade the ACT/SAT writing section. Suggest next workout based on previous workouts and goals. For doctors, given a patient, find similar patients and summarize their diagnoses in order to help diagnose the patient. Generate slogan based on product description. Generate Latex notes from a transcript of a lecture. Generate presentation slides based on a paper. Write an abstract for an academic paper given the rest of the paper. Do a command on a browser given text input for example: “buy a plane ticket on United from SFO to ORD.” Autocomplete sentences in Google docs using AI. Travel and Leisure Generate travel itinerary based on user preferences. Generate meal plans based on caloric goals and food preferences. Suggest outfits to wear based on a user’s fashion preferences. Suggest meals based on ingredients someone has in their kitchen. Generate sports game commentary based on context of what’s happening in the game. Generate a text-based game with AI that has infinite possibilities. Automatically generate responses for video game characters using AI. Image Grade a student’s work with a picture of the student’s assignment and a picture of the answer key. Improve accessibility on the web by automatically generating captions for images. Convert handwritten text from an image to digital text. Diagnose medical conditions by analyzing medical images. Generate images for advertising campaigns based on existing images. Create design assets in Figma based on text ideas and pictures. Count the number of cars or buildings in satellite images. Video Generate a transcript by lip-reading a video. Create annotations for key events in a video. Detect and label important objects in video footage. Generate a Tinder profile based on someone’s Instagram profile. Increase the frame rate of animation by generating extra frames. Audio Generate lyrics from audio. Given audio and the lyrics, output the timestamp of each lyric. Transcribe speech from audio. Generate sheet music or MIDI from audio. Critique a song by analyzing its musical elements and style given audio.

Below are reflections of our startup journey participating in the Floodgate Reactor Program. We have strong opinions, loosely held and while these opinions reflect our current state of mind and understanding of the world might change as we continue our entrepreneurial journeys. Introduction H-2A is a US government program that allows farmers to bring foreign seasonal agricultural labor to the US. To learn more about the H-2A program, check out our other blog posts or the link here. ...

At the beginning of 2022, we began the Floodgate Reactor program with the hopes of finding a successful startup idea and learning how to build a successful company. We started the program with an idea in cybersecurity related to vulnerability patch management. By the end of the summer, we were working on an idea that focused on solving farmer labor shortages and building a global talent marketplace. In this blog post, we will discuss our journey and how our ideas changed over time. ...

Below are reflections of our startup journey participating in the Floodgate Reactor Program. We have strong opinions, loosely held and while these opinions reflect our current state of mind and understanding of the world might change as we continue our entrepreneurial journeys. Introduction H-2A is a US government program that allows farmers to bring foreign seasonal agricultural labor to the US. To learn more about the H-2A program, check out our other blog posts or the link here. In this blog post, we will describe some ideas about what should be improved in the H-2A process. ...

Introduction Everyone has a framework, a basis by which they make decisions and navigate the uncertainty of the world. Frameworks are developed over time through knowledge and experience. Learning is a process in which we can incorporate new knowledge and experience into our existing framework. Working on a startup opened the floodgates to new knowledge and experience rushing into our frameworks about building a company. In a small amount of time, it allowed us to understand how to rapidly gain new experience and knowledge….BY OURSELVES! After a decade and a half of following a syllabus or expecting grades, we had free range to explore ANYTHING and EVERYTHING. The summer was a unique experience that has rapidly impacted our framework on both the startup and the process of starting up. Here we attempt to communicate some of those lessons that are now in our framework of starting a startup. ...

In this blog post, we will explain why H-2A is a crucial program that supports the livelihood of countless farmers and workers. H-2A is a US government program that allows farmers to bring foreign seasonal agricultural labor to the US. In 2021, over 300,000 workers came to the US under this program and over 16,000 farms across the country used the program. The H-2A visa lets workers stay in the US for one year, but this can be extended for up to three years. However, the program is designed for workers to not live in the US permanently; they must stay in their home country for at least three months every three years they are on the visa. Overall, the H-2A program is essential for farms to have the labor they need to stay in business, and it helps foreign workers make more money than they can in their home country. ...

Introduction I recently decided to restore an old Peugeot bike. I wanted to have a nice fixed gear bike to ride and learn more about how bikes work. The bike before restoration. In this blog post, I’ll talk about the process for disassembling the bike, repainting the frame, and assembling it again. I’ll also talk about some mistakes I made and lessons I learned that could be useful for someone attempting a similar project. ...

Introduction I recently read Ed Thorpe’s Beat the Dealer, a book about how Thorpe, a mathematician, found a way to gain an edge in blackjack. In the book, Thorpe uses computer simulations to calculate the best blackjack strategy as well as card-counting strategies. Since I took a reinforcement learning class last quarter, I wanted to apply one of the most common algorithms, Q-learning, to to find the best strategy for blackjack. ...

Faster than a Supercomputer? In the 1980s, American physicist Richard Feynman proposed the idea of quantum computers to model complex quantum systems. In October 2019, around 40 years later, Google AI and NASA scientists unveiled a quantum computer which ran an experiment in a few minutes that would take the fastest supercomputer 10,000 years. The quantum computer sped up the computation by a factor of 1 billion! This was one of the first major successes in the nascent field of quantum computing. ...

Introduction In this blog post, I will implement a few simple time series models of a stock price over time. I will also see how they do if we trade using them. We will look at moving averages (MA) and exponential moving averages (EMA). Data First, we need to download the price data. For this article, we will use SPY historical open price data. We can download this from Yahoo Finance. Now, let’s process the data into a dataframe and split the data into test and train datasets. ...