Jay van Zyl @ ecosystem.Ai

Jay van Zyl @ ecosystem.Ai

Artificial Intelligence Predicts Outcomes of Chemical Reactions – IEEE Spectrum

IEEE SpectrumArtificial Intelligence Predicts Outcomes of Chemical ReactionsIEEE SpectrumHowever, organic chemicals can be extraordinarily complex, and simulations of their behavior can prove time-consuming and inaccurate. Instead, researchers at IBM t…

Machine Learning: A Guide for Non-Technical Readers – insideBIGDATA


insideBIGDATA

Machine Learning: A Guide for Non-Technical Readers
insideBIGDATA
In an effort to reach non-technical readers, Dataiku has released a new report that offers a guide to machine learning basics. And no, you don’t have to be an AI expert to understand the content—complete with easy-to-understand diagrams and

Artificial Intelligence Still Isn’t a Game Changer – Bloomberg – Bloomberg


Bloomberg

Artificial Intelligence Still Isn’t a Game Changer – Bloomberg
Bloomberg
Not much time passes these days between so-called major advancements in artificial intelligence. Yet researchers are not much closer than they were decades ago to the big goal: actually replicating human intelligence. That’s the most surprising

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Introduction to Altair – A Declarative Visualization Library in Python

Introduction Visualization is one of the most exciting parts of data science. Plotting huge amounts of data to unveil underlying relationships has its own …
The post Introduction to Altair – A Declarative Visualization Library in Python appear…

Future-proofing AI: Embrace machine learning now because healthcare adoption is picking up speed – Healthcare IT News


Healthcare IT News

Future-proofing AI: Embrace machine learning now because healthcare adoption is picking up speed
Healthcare IT News
The dependence of today’s AI on data has major consequences for healthcare. The industry is highly regulated, and so is access and use of medical data. So when systems are set up for accessing healthcare data in a compliant way, one will increasingly

Simultaneous Localization and Mapping (SLAM) for AI Self-Driving Cars

By Lance Eliot, the AI Trends Insider Where am I? I know that I am standing in a dark room. It is so dark that I cannot see anything at all. I was led into the room while wearing a blindfold. Once inside the room, I was walked around in a circuitous manner, making numerous […]

Software 2.0: Neural Nets Represent Shift in How We Write Software

By Andrej Karpathy, Director of AI at Tesla I sometimes see people refer to neural networks as just “another tool in your machine learning toolbox”. They have some pros and cons, they work here or there, and sometimes you can use them to win Kaggle competitions. Unfortunately, this interpretation completely misses the forest for the trees. […]

51 Artificial Intelligence (AI) Predictions For 2018

It is somewhat safe to predict that AI will continue to be at the top of the hype cycle in 2018. But the following 51 predictions also envision it becoming more practical and useful, automating some jobs and augmenting many others, combining machine learning and big data for fresh insights, with chatbots proliferating in the […]

Who’s Hiring AI Talent in America?

By Dr. Andrew Chamberlain, chief economist at Glassdoor When it comes to the future of work, artificial intelligence (AI) and automation are poised to impact nearly every facet of the workforce in some way. Many studies have examined the likely impact of AI on jobs. But few have looked at hiring trends in AI-related jobs […]

AI World 2017 – a Cross-Section of AI Marketplace

by John Desmond, Editor, AI Trends The 85+ sponsors and exhibitors at AI World Conference & Expo happening Dec. 11-13 in Boston represent a cross-section of the emerging AI marketplace, including companies seeking growth and development by riding atop the AI wave. Here is an account of a selection of a few of the AI World exhibitors. […]