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#machine learning

Atlas has a Python SDK, CLI & more on board

Deep learning platform Atlas is now open source

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.

ML at the heart of business

3 global manufacturing brands at the forefront of AI and ML

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.

TF Hub, TF Lite, a new certificate & more

A look at the TensorFlow ecosystem in 2020

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.

TensorFlow.js survey by Google AI researchers

Web developers don’t need a math degree to get started with machine learning

Google AI researchers conducted a study among 645 users of TensorFlow.js, a framework for machine learning with JavaScript. The goal was to find out what motivates software developers to get started with machine learning, what they expect from ML frameworks and what challenges they face. Let’s see what the survey has brought to light.

Watch Christoph Henkelmann's ML Conference session

Unsupervised Learning with Autoencoders

What are autoencoders and how can you use them in your machine learning projects? In this session from the Machine Learning Conference, Christoph Henkelmann will teach you all about the basics of autoencoders, including different varieties, how to use them, and what they are good for.

Watch Tamar Stern's International JavaScript Conference session

Introduction to machine learning in Node.js

Node.js is one of the most popular frameworks for writing server side applications now, and machine learning is rapidly gaining popularity. More and more problems are being solved by using machine learning tools. The use of machine learning solutions is spreading, and it is not limited to researchers.

The ethics of AI and ML

What data should AI be trained on to avoid bias?

Humans are introducing their own biases and prejudices into machine learning. As advanced as AI can be, having been built by humans, it can still share some of our own ethical shortcomings. The usage of proper databases during training is one of the ways to help prevent biases from developing within artificial intelligence.

Natural language generation with 17 billion parameters

Microsoft’s deep learning language model Turing-NLG outperforms GPT-2

Microsoft has announced its deep learning language model Turing-NLG, and its impressive 17 billion parameters make it the largest language model to date. While it is not publicly available, a demo version has been released to a small group for testing purposes. Let’s see if more parameters mean better results, compared to OpenAI’s GPT-2 and NVIDIA’s Megatron-LM.