Quantum computing should supercharge this machine-learning technique MIT Technology ReviewCertain machine-learning tasks could be revolutionized by more powerful quantum computers.
How to Build Your Own Search Ranking Algorithm with Machine Learning Search Engine JournalThis article breaks down the machine learning problem known as Learning to Rank and can teach you how to build your own web ranking algorithm.
Clinical applications of machine learning algorithms: beyond the black box The BMJBMJ 2019; 364 doi: https://doi.org/10.1136/bmj.l886 (Published 12 March 2019) Cite this as: BMJ 2019;364:l886. Article · Related *content* · Metrics · Response…
IBM takes on Alzheimer’s disease with machine learning ZDNetIBM hopes ML can provide the framework for a way to diagnose the illness without the need for spinal fluid extraction.
Earn certifications in machine learning and data science Boing BoingBig companies want automation on a big scale. Doing that means diving into the tricky world of machine learning and data science. And no matter what platform …
Using machine learning to improve subseasonal climate forecasting MIT NewsJudah Cohen, director of seasonal forecasting at AER (Atmospheric and Environmental Research) and visiting scientist in MIT’s Department of Civil and …
Reap the benefits: 5 practical uses of machine learning for SMBs TechGenixMachine learning is not just a pie-in-the-sky concept, and it is not just for giant enterprises. Smaller companies can profit from ML technologies too.
RSAC 2019: The Dark Side of Machine Learning ThreatpostAs smart devices permeate our lives, Google sends up a red flag and shows how the underlying systems can be attacked.
The next step for machine learning and AI TechRepublicDavid Karandish, founder and CEO of Jane.ai, discusses the next step for machine learning and AI through chatbots and natural language processing.
Machine Learning Can Use Tweets to Automatically Spot Critical Security Flaws WIREDResearchers built an AI engine that uses tweets to predict the severity of software vulnerabilities with 86 percent accuracy.
