New Economic Policy for American AI Innovation
Artificial intelligence (AI) technologies could create more economic opportunity than entire industries. But AI poses threats as well and U.S. political leaders seem unaware of potential consequences. Do we need an AI czar? asks James Heskett.
How Deep Learning Improves Machine Vision in Factories
Factory automation is evolving, once again. Machine vision technology remains popular in the manufacturing environment, due to its proven track record of results. However, the introduction of artificial intelligence (AI) technology and machine learning applications will transform many conventional factories.
Deep Learning Software Revenue Will Reach $67.2B
“Deep learning has been a key point of focus for many companies, given its potential to transform entire industries,” says principal analyst Keith Kirkpatrick. “Current leaders in the deep learning market include Google, Facebook, Microsoft, IBM, Amazon, Baidu, and others.”
Artificial Intelligence: The Early Adopter Advantage
Nearly half of survey respondents said their companies embedded at least one AI capability in their business processes, and another 30% are piloting AI. Still, only 21% say their organizations have embedded AI in several parts of the business, and just 3% of large firms have integrated AI across their full enterprise workflows.
How Machine Vision Revenues will Reach $193.8 Billion
Machine vision is in the process of transition and dramatic expansion. Deep learning (DL) techniques are taking machine vision systems to next level, driving the mass adoption in several industries — including the automotive, retail, consumer, industrial, and surveillance sectors.
Progress Report: State of AI in the Enterprise
According to new survey findings, early adopters are ramping up their AI investments, launching more initiatives, and getting positive returns. Cloud-based cognitive services are increasing adoption by reducing the investment and expertise required to get started.
Deep Learning with Flexible Computing Solutions
“A deep learning application using this flexible computing solution could reduce energy consumption by 15 percent, according to our preliminary experiment. The proposed solutions can be reconfigured to simultaneously perform multiple operations requiring low numerical precision and improve performance.”
via The Conversation
Artificial Intelligence Experts Envision the Future
“Almost every expert who had an opinion hedged their bets — most responses to the question were peppered with caveats and “maybes.” There’s a lot that we don’t know about the path towards HLAI, such as questions over who will pay for it or how we’re going to combine our algorithms that can think or reason but can’t do both.”
Artificial Intelligence: 2018 Global Executive Study
Pioneer organizations are pulling ahead of their counterparts. By deepening their commitment to artificial intelligence (AI) and focusing on revenue-generating applications over cost savings — these early implementers are positioning themselves to reap the benefits of AI at scale.
via MIT Sloan
Top Healthcare AI Trends to Watch in 2019
One of the biggest hurdles for artificial intelligence (AI) in healthcare will be overcoming inertia to overhaul current processes that no longer work, and experimenting with emerging technologies. That said, AI faces both technical and feasibility challenges that are unique to the healthcare industry.
via CB Insights
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