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The State of Artificial Intelligence in Six Visuals
We cover many emerging markets in the startup ecosystem. Previously, we published posts that summarized Financial Technology, Internet of Things, Bitcoin, and MarTech in six visuals. This week, we do the same with Artificial Intelligence (AI). At this time, we are tracking 855 AI companies across 13 categories, with a combined funding amount of $8.75billion. To see all of our AI related posts, check out our blog!
Roads Signs Are As Important To The Future Of Driverless Cars As Artificial Intelligence - ARC
Vehicle-to-vehicle communication is critical for the future of the autonomous car. But vehicle-to-infrastructure communication is what will tie everything together. "If we look at it in a very basic level, automated and connected vehicles, to make this happen … it requires an ecosystem to work together," said Tammy Meehan Russell, global portfolio manager for intelligent transportation at 3M. "Very basically that ecosystem is vehicle, human and infrastructure." While visiting the University of Michigan's Mobility Transformation Center in Ann Arbor, our group of reporters was given a tour of Mcity, a testing and training ground for autonomous, automated and self-driving vehicles. Mcity is a 32-acre artificial town built by MTC and opened in July 2015 for the specific purpose of testing autonomous cars in real world conditions. Just about everything an autonomous car might encounter is represented at Mcity: different kinds of roadways (concrete pavement, grooved pavement etc.), different kinds of road signs and lines, various types of traffic signals, highway conditions, urban conditions and so forth.
DARPA selects BAE to develop new counter to modern radars
Machine learning as a service market grow at a CAGR of 43.7% to reach USD 3755.0 million by 2021 AI startup Tend.ai nabs $2 mln seed Is Elon Musk Right And Will AI Replace Most Human Jobs? Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.
The Deep Learning Market Map: 60 Startups Working Across E-Commerce, Cybersecurity, Sales, And More
New York-based Calrifai -- backed by investors including Google Ventures, Lux Capital, and NVidia -- entered the R/GA accelerator this year, after raising $10M in Series A in Q2'15. BI, Sales & CRM: Applications here include voice analytics to extract information from calls, automated customer response solutions, business data analytics, and sales targeting. To name a few, Palo Alto-based Mariana raised $2M in seed money from investors including Blumberg Capital; London-based True AI, previously seed funded by Entrepreneur First, entered the Microsoft Ventures Accelerator in Q3'16; another UK-based startup, Ripjar, raised funds from Winton Ventures in Q2'16. Three startups in the private sector using AI in e-commerce raised funding rounds this year: Reflektion raised $18M in Q1'16 from investors including Intel Capital, Battery Ventures, and Marc Benioff; ViSenze raised $10.5M in Series B from investors including Rakuten Ventures, Enspire Capital, and Phillip Private Equity; India-based Staqu raised angel funds in Q2'16.
DeepMind: AI is Heading to StarCraft
Artificial intelligence (AI) in games is often confused with programmed bots (or NPCs). Yes, these bots are "intelligent," so to speak, because they interact with human players, but those interactions are limited by the bots' programming -- they don't behave outside their coding. Conversely, AI applications in games can react to the behavior of human players with their own assessment of the situation -- like in that historic game of Go -- using an algorithm called deep learning. At BlizzCon 2016 on Friday, Google and Blizzard Entertainment announced a partnership to bring Google's deep-learning AI, DeepMind, to StarCraft II. DeepMind will use the real-time strategy game as a testing environment for AI research, using deep reinforcement learning to develop an AI agent that can play StarCraft II effectively.
Artificial Intelligence as a Bridge for Art and Reality
How to get people interested in art? How to expose permanent-collection works that sit in storage? These are questions art museums constantly ponder. Recently, Tate Britain asked another one: How can artificial intelligence help? It put the question to anyone who wanted to compete for the 2016 IK Prize, which promotes the use of digital technology in the exploration of art at Tate Britain or on the Tate website.
Utilising Machine Learning To Combat IoT Security Nightmare
Fast pace of today's tech evolution is giving rise to new business models and disrupting existing businesses. Your organization is competing with many others that you know of and several more that might not be on your radar yet. We keep an eye out for the latest opportunities in emerging tech and help you leverage these to leapfrog your competitors. Flarrio is a global leader in the field of emerging technologies. We help businesses become future-ready with product management, new solution building, learning, and transformation programs - powered by insights from 600 global experts and 300 emerging tech products.
Will smart cities need AI to truly flourish?
A Deutsche Telekom official says artificial intelligence (AI) will be needed to break smart city data out of its silos. As reported by Mobile World Live, thoughts about smart city evolution appeared on the blog of Claudia Nemat, the Deutsche Telekom (DT) board member who oversees Technology & Innovation Europe. In her piece, Nemat described current smart city practices as trapping data from sensors in an isolated "landlocked lake." But as sensors proliferate at blinding speed in global smart cities, the rivers of data being produced will turn into oceans. This will be complicated by the multiple digital platforms running simultaneously in each city.
Facebook shows off a feature it says is a big breakthrough in artificial intelligence
But Facebook has managed to pack AI into its app, which allows people to add filters to their videos in real-time, meaning that computing tasks that once required large data centers can now be done on the mobile device. "This is one application of AI on the device, it's one of the first. But the real breakthrough here is being able to train and build models on a big server…and deploy them directly to your pocket so you can run them in real time wherever you are. That is the exciting future of AI," Schroepfer said during a keynote speech. This so-called "deep learning" system is called Caffe2Go, and it is what makes stylized videos in the app possible.