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Gutter Sense – A Rain Gutter Cleaning Tool

Flutter Forward Keynote '23

OpenJDK mailing list: Nullness markers to enable flattening

Show HN: A Powerful HTTP VCR for Dart and Flutter

Show HN: Flappy Bird and Wordle

Hey HN! FlappyBirdle combines elements from the game Flappy Bird and the popular word game Wordle. I wanted to see if I could make a game that added urgency to Wordle, while also feeling outragous at the same time. I think I achieved it with FlappyBirdle. Every time you type a letter of the word, the bird flaps its wings and you get closer to the goal. It also has an easy mode that ignores the pipes, so even beginners can get a good score. Let me know if you have any ideas on how I can make it b

What’s the best way to refresh my iOS application development knowledge?

I have been working in React Native projects for the last three years. I almost out of touch in iOS development. Suggest me some better ways to get back to an iOS developer. Note that I fully worked as a iOS developer for first three years and handled multiple big projects. But I don’t have that confidence now.

What QA Teams Should Know About Machine Learning For Software Testing

The pace of software delivery is unrecognizable from only a few years ago as tech companies release products at breakneck ...

AI, Machine Learning Beat Cryptocurrency As Top Tech Choice Among Institutional Investors

"This trend toward automation is something we're seeing across the market now, and is expanding into the credit and rates side as well as commodities," said Scott Wacker, JP Morgan head of FICC ...

Opinion: Our schools need digital literacy as machine learning, artificial intelligence expand

Opinion: With the advent of ChatGPT and the popularity of TikTok, Iowa needs curriculum to help students identify media bias, writes .

The 13 top VC firms dedicated to investing in artificial intelligence and machine learning that founders should know

Here are the 13 top VC firms dedicated to AI and ML investing.

Discovering rules through machine learning (Reader Forum)

Machine learning, unlike commonly thought, can be used to supplement rule-based systems, writes Oxylabs' COO Juras Juršėnas.

Researchers explore use of machine learning to predict bulk metallic glass formation

Researchers from the Yale School of Engineering and Applied Science are analyzing the effectiveness of a machine learning ...

SmartChemistry brings the power of AI and machine learning into your lab

Artificial intelligence and machine learning are changing chemistry. Today, the chemical literature contains such a huge volume of information that it is impossible for chemists to know everything ...

Baker McKenzie's Machine Learning Leader Discusses the Firm's Plans for Generative AI

The firm's Machine Learning Practice continues to harness the power of GPT-3 models to augment attorney workflows, improve ...

Deploying machine learning to hunt for extraterrestrial life

The hunt for extraterrestrial life, as measured by life on another planet developing some form of technology that might eb ...

2023, Current Status and Future Prospects Of Data Science and Machine Learning Service Market

Data Science and Machine Learning Service Market Size 2023-2029 | New Report (102 Pages) | In This Reports Data Science ...

Smartle - a word puzzle game I made in Flutter. Daily challenge is to fill all 5 rows with legit words

Conventional Commits: Spec for adding human and machine meaning to commit msgs

Show HN: Distributed Inference,Apply DL to WebRTC Video Frames via Redis Streams

Hi HN!I’m so excited to show my another open-source project here. It is a PoC project.Distributed Inference is a project to demonstrate an approach to designing cross-language and distributed pipeline in deep learning/machine learning domain, using WebRTC and Redis Streams.This project consists of multiple services, which are written in Go, Python, and TypeScript, running on Docker. It allows setting up multiple inference services in multiple host machines, in a distributed manner. It does

ChatGPT Is About to Dump More Work on Everyone