Computer-generated 'brain age' estimates how much time you've got left


U.K. researchers have developed a machine learning algorithm that can look at people's brain tissue to determine their likely lifespan.

Ai Development Salary Investments Top $650 Million


The artificial intelligence (AI) development race is heating up, and one new study shows that companies are paying upward of $650 million to their employees to advance the state of the AI art.

Conversational UI Principles -- Complete Process of Designing a Website Chatbot


In this article I'll show you a case study describing an entire process of designing a conversational UI for a B2B website, including fragments of the conversation script, basics of the communication theory and some of the tips and tricks I think make this project a bit unique.

Artificial intelligence can be sexist and racist just like humans


Many of us like to think that artificial intelligence could help eradicate biases, that algorithms could help humans avoid hiring or policing according to gender or race-related stereotypes. But a new study suggests that when computers acquire knowledge from text written by humans, they also replicate the same racial and gender prejudices--thus perpetuating them.

Google cooks up a tasty update to Home with step-by-step recipe instructions


Google Assistant is already a great help in the kitchen when we need to convert something from pints to cups or remember to buy eggs on our next shopping trip. But with a new update to Google Home, it's graduating to full-on sous chef.

Tommi Jaakkola appointed Thomas Siebel Professor in EECS and IDSS

MIT News

Tommi Jaakkola, a professor of computer science and engineering at MIT, has been named the inaugural holder of the Thomas Siebel Professorship in the Department of Electrical Engineering and Computer Science (EECS) and the Institute for Data, Systems, and Society (IDSS).

Python TensorFlow Tutorial - Build a Neural Network - Adventures in Machine Learning


Google's TensorFlow has been a hot topic in deep learning recently. The open source software, designed to allow efficient computation of data flow graphs, is especially suited to deep learning tasks. It is designed to be executed on single or multiple CPUs and GPUs, making it a good option for complex deep learning tasks. In it's most recent incarnation – version 1.0 – it can even be run on certain mobile operating systems. This introductory tutorial to TensorFlow will give an overview of some of the basic concepts of TensorFlow in Python. These will be a good stepping stone to building more complex deep learning networks, such as Convolution Neural Networks and Recurrent Neural Networks, in the package. We'll be creating a simple three-layer neural network to classify the MNIST dataset. This tutorial assumes that you are familiar with the basics of neural networks, which you can get up to scratch with in the neural networks tutorial if required. To install TensorFlow, follow the instructions here. The code for this tutorial can be found in this site's GitHub repository. First, let's have a look at the main ideas of TensorFlow.

Artificial Intelligence Comes to the Rescue for the Retail Industry


Exponential progress in artificial intelligence (AI) and machine learning, fuelled by the combination of cloud, big data and new algorithms, is transforming the retail industry. As AI leverages big data to automate, predict and personalize, retail is testing and implementing these applications to garner robust competitive advantages. The key focus for AI in retail is customer relationships. In times of concerns for the retail sector in the UK where sales posted biggest quarterly fall since 2010, the refashioning of this industry comes as a breath of fresh air with many opportunities to come.