- Unity, the most popular cross-platform game engine favored by video game developers, on Tuesday opened up its platform for machine learning researchers to test their algorithms.
- Reinforcement learning is a strand of machine learning that teaches agents to perform a specific task in a given environment.
- The platform, known as Unity Machine Learning Agents, includes additional features like the Agent Monitor class, which allows researchers to better understand how agents make decisions so that mistakes are easier to debug.
- Since Unity Engine and Editor are geared toward game development, it also makes it easier for machine learning researchers to construct scenarios or even create full games to use as testbeds for their reinforcement learning algorithms.
- But there is a slight tradeoff for having prettier graphics and more complex environments – it makes it more difficult for the algorithms to comprehend the play field, and requires more processing power from accelerators such as GPUs, so it’ll be more expensive to train agents.
Unity, the most popular cross-platform game engine favored by video game developers, on Tuesday opened up its platform for machine learning researchers to test their algorithms.
Continue reading “Top video game dev nerve-center Unity can now be used to train AI • The Register”
- When Unanimous AI developed UNU in 2015, the goal was to create artificial intelligence (AI) systems that “keep people in the loop,” amplifying human intelligence instead of replacing it.
- Unanimous AI’s March Madness bracket was able to beat all but three percent of ESPN brackets across the country on the first day of the tournament.
- The technology makes use of the collective intelligence of people — combining “knowledge, insights, and intuitions,” as Unanimous AI puts it — to develop a kind of artificial intelligence that’s inherently human.
- As Unanimous AI explains, “We empower people to act as ‘data processors’ that come together online and form an intelligent system, connected by AI algorithms.
- One day, perhaps we’ll be able to combine the intelligence of Watson with that of a swarm of medical professionals to improve healthcare, or combine the insights of an investment-making AI with a swarm of finance experts.
The collective intelligence is killing it on ESPN.
Continue reading “March Madness: A Swarm Intelligence Is Predicting the Future”
- Recipients must have client access to read the full report.
- Systems Of Engagement Technologies Keep Customers Coming Back
- The report presents Forrester’s top emerging technologies in three groups of five – systems of engagement technologies, systems of insight technologies, and supporting technologies.
- Invest In Emerging Technologies That Drive Customer Obsession
- The Top Emerging Technologies To Watch: 2017 To 2021
Recipients must have client access to read the full report. Use Click & Share to grant full access to recipients who are not Forrester clients.
Continue reading “The Top Emerging Technologies To Watch: 2017 To 2021”
- Our list focuses on those technologies that will have the biggest business impact in the next five years.
- We organize this year’s list into three groups – systems of engagement technologies will help you become customer-led, systems of insight technologies will help you become insights-driven, and supporting technologies will help you become fast and connected.
- Intelligent agents coupled with AI/cogntive technologies will automate engagement and solve tasks.
- The technology gives firms visibility into and control of customer and operational realities.
- Hybrid wireless technology will eventually ereate connected cverything.
Forrester: As a refresh to my 2014 blog and report, here are the next 15 emerging technologies Forrester thinks you need to follow closely. We organize this year’s list into three groups — systems of engagement technologies will help you become customer-led, systems of insight technologies will help you become insights-driven, and supporting technologies will…
Continue reading “Forrester’s Top Emerging Technologies To Watch: 2017-2021”