Discover how AI is set to unleash a new wave of deep learning and step-change increase in business productivity. To answer how AI may affect businesses, we can look to several areas for clues: computer programming advances, data quality, and organizational workflows.
Deep learning has significantly improved state-of-the-art performance for natural language processing tasks like machine translation, summarization, question answering, and text classification.
Technology has democratized building and creating. Today, anyone can be a builder—whether it's through using 3D printing to build physical products, iMovie to build any home movie, or Squarespace to build any website. So why can't app development be more accessible? Why not empower all Trailblazers
In the same way that human decisions can be influenced by cognitive biases, decisions made by artificially intelligent systems can be vulnerable to algorithmic biases.
In this article, I will focus on mechanisms for removing exclusion from your data and algorithms. Of all the interventions or actions we can take, the advancements here have the highest rate of change.
Have you recently purchased a movie ticket, paid a bill, or changed a restaurant reservation online? At their core, these app experiences are a series of steps, or a process — a sequential flow that walks you through an activity based on your selections or answers. Digital channels are driving more
This is part one of a two-part series about how to build ethics into AI. Part one focuses on cultivating an ethical culture in your company and team, as well as being transparent within your company and externally.
The secret to change — at least according to Socrates — is to focus all of your energy not on fighting the old, but on building the new. This sentiment has never been…
Deep reinforcement learning (deep RL) is a popular and successful family of methods for teaching computers tasks ranging from playing Go and Atari games to controlling industrial robots.