AI and ML technologies can make an impact by reducing emissions and maximizing production efficiency. The energy sector has lavish amounts of data to manage, AI is a perfect fit for this purpose. Let’s look at how machine learning can benefit the energy sector.
In this talk from the Machine Learning Conference, Kamil Kaczmarek and Jakub Czakon focus on practical guidelines and tips on how to set-up and maintain smooth collaboration in data science projects. Discover how to best track and collaborate in data science.
When artificial algorithms are biased, this can create unethical results, which in turn can lead to PR disasters for businesses. In this article, you will learn about three different types of AI bias – algorithmic, technical, and emergent – and what measures can be used to limit them.
Take a look at our brand new ML Magazine, in which the authors will give you a full idea of the cutting edge of machine learning—from tutorials for certain tools to insights about the relationship between AI and ethics. Don’t miss our first issue that includes an interview with Noam Chomsky.
For certain tasks, Jupyter users tend to switch to general-purpose IDEs. Therefore, the Jupyter project has decided to add a new feature that Jupyter users have been missing—a visual debugger in JupyterLab. Let’s take a closer look at the features of the debugging extension’s initial release.
Accidents at sea happen all the time. Their costs – in terms of lives, money and environmental destruction – are huge. Wouldn’t it be great if they could be predicted and perhaps prevented? Dr. Yonit Hoffman’s Machine Learning Conference session discusses new ways of preventing sea accidents with the power of data science.
The deep learning company Dessa has open sourced Atlas, a deep learning platform. Though currently still in beta mode, it is designed to make running, evaluating and deploying deep learning projects easier. It works on macOS, Linux and Windows, and offers TensorBoard integration. Let’s take a closer look.
How can machine learning and artificial intelligence change the landscape of manufacturing? According to reports by Deloitte and McKinsey, machine learning improves product quality and has the potential to double cash flow. Let’s take a look at three global manufacturers who are already on board.
It’s not a secret that deep learning already made a revolution in several perception fields as vision, language and speech understanding and keeps pushing the frontiers. Take a tour of the final frontier for time series analysis in this advanced development session from the Machine Learning Conference.
Demucs is a new research project by Facebook AI. It is designed to separate musical tracks into different instruments or vocals, similar to how a human can detect the specific instruments, and solve the problems of existing approaches. In the long run, Demucs could be applied to other AI tasks as well.
TensorFlow Dev Summit 2020 took place last week and gave an overview of everything that’s been going on in the world of the machine learning library. While we have been covering TensorFlow, TensorFlow.js, and the recently open sourced TensorFlow Quantum, you may not yet have heard of TF Hub, TFX or TF Lite, so let’s see what they are all about.
The TensorFlow developers have been keeping busy this week: Not only has the first release candidate for TensorFlow 2.2 arrived, but we can now also welcome the very first release of TensorFlow Quantum. Let’s see what has been happening in the world of Google’s machine learning framework.