Contrary to popular belief, Artificial Intelligence (AI) can’t fix everything. Sure AI has afforded breakthroughs in self-driving cars and healthcare, but it brings up the question of if there should be areas that AI should stay out of. If ever there was an area where AI should stay out of, it’s online test proctoring. These test-proctoring services include: Respondus, ProctorU, Proctorio, Examity, and Honorlock. These platforms have gained…Read More
Today marks my first year at the Partnership on AI (PAI), a nonprofit founded to ensure that artificial intelligence (AI) benefits people and society. Given that my role — partner and internal communications — was the first of its kind for PAI, and that I come from a nontechnical background, I thought I’d share some lessons I’ve learned doing comms in a new-to-me field. I imagine this will be most helpful if you.Read More
Agent and Environment are two pillars in Artificial Intelligence, our aim is to build intellectual agents and work in an environment. If you consider broadly agent is the solution and environment is the problem. In simple terms, even starter or researcher can understand that and is defined Agent as game and Environment as ground.Read More
In this article, we explore how we can, and do, regularize and control the complexity of the models we learn through Bayesian prior beliefs. I’m currently reading “How We Learn” by Stanislas Dehaene. First off, I cannot recommend this book enough to anyone interested in learning, teaching, or AI.Read More
This post was originally published by Matthew Hutson at Science Mag An artificial intelligence taught itself to manipulate blocks by setting increasingly difficult goals. OPENAI Unlike human students, computers don’t seem to get bored or frustrated…Read More
Many have strived to make computers ‘think’, ‘learn’ and therefore ‘act’ like humans, all with varying levels of success to date; from machine learning and deep neural networks to knowledge graphs with semantic reasoning.Read More
Python is easy to use, versatile, and the right programming language to learn in 2020. It is an excellent choice for beginners and experts alike. There is no doubt Python is booming!Read More
Embodied agents operating in human spaces must be able to master how their environment works: what objects can the agent use, and how can it use them? We introduce a reinforcement learning approach for exploration for interaction, whereby an embodied agent autonomously discovers the affordance landscape of a new unmapped 3D environment (such as an unfamiliar kitchen).Read More
In this article, we will try to understand where On-Policy learning, Off-policy learning and offline learning algorithms fundamentally differ. Though there is a fair amount of intimidating jargon in reinforcement learning theory, these are just based on simple ideas.Read More
Computer science is the science that researches everything. It should be good in mathematics and arithmetic. It is a science that studies the processes that interact with data using algorithms to process and store digital information.Read More
A report from Microsoft warns that the UK faces an AI skills gap which may harm its global competitiveness. The research, titled AI Skills in the UK, shines a spotlight on some concerning issues. For its UK report, Microsoft used data from a global AI skills study featuring more than 12,000 people in 20 countries…Read More
Deep Learning. Have you heard about it?
This text is not technical, but didactic. There is no need for any theoretical background. So, what do you know about Deep Learning? How do you think it works? Take some time to think about it.
There’s nothing stagnant about the financial services industry any longer.
Tectonic shifts in technology have created positive and transformational
reverberations in the world of personal finance. And the more we understand these shifts, the more informed decisions we can make around spending, saving, and investing.