The Deep Learning for Robotics summit June 28-29 could provide a sense of how this important technology is being utilized by major tech firms.
You’ve probably heard of artificial intelligence (AI), but the next wave of technological transformation might be “deep learning.” A meeting of the major players this week could provide investors with the latest news and trends about the concept.
Deep learning isn’t just one innovation in technological development. It aims to reboot the entire way we think about technology, and potentially could generate a huge market across multiple industries. Deep learning might help usher in the age of thinking machines, and many investors are watching how some major tech companies incorporate this evolutionary concept.
Exploring the intersection between Artificial Intelligence (AI) and the “real world” is the central theme of the Deep Learning for Robotics Summit scheduled to take place in San Francisco this Thursday and Friday. The summit will gather some of the most influential technologists, startups, and tech giants to discuss recent developments in deep learning.
The roster of attendees reads like a “who’s who” of large tech companies and potentially disruptive startups. Big names include Amazon (AMZN), Apple (AAPL), Capital One (COF), Cisco (CSCO) Facebook (FB), Alphabet (GOOG), Intel (INTC), Microsoft (MSFT), Twitter (TWTR), and many others.
“Deep learning has opportunities to solve challenges across all types of industries,” wrote Amit Karp, vice president at Bessemer Venture Partners, in a recent guest blog for VentureBeat.
To appreciate the potential scope and power of deep learning, let’s see how it evolved:
Deep learning algorithms are designed as “artificial neural networks” that mirror the function of the human brain. And deep learning’s ability to learn and devise solutions in a nearly self-sufficient manner not only differentiates it from machine learning, but also gives it a significant technological advantage over other subsets of artificial intelligence.
In short, deep learning might herald the age of thinking machines. And that’s a reason why many tech companies are competitively seeking ways to harness its capabilities, incorporating it into their products and systems, and pushing it toward the share-driven community of open source development.
Here’s a brief look at how three major players are implementing deep learning now:
Ultimately, what might be at stake in deep learning is its potential to empower a large body of existing technologies, which in turn may affect a large number of new and emerging industries.
In a report from 2017, Persistence Market Research estimated that by 2027, the deep learning market may generate up to $261 billion. Another research firm, Stratics MRC, forecasts revenue deep learning revenue of $72.1 billion by 2023.
Given the nascent state of this technology, there’s no one path for those who want to invest in deep learning. There are generally two categories of “players”: small startups, and large tech companies, many of which have increased their acquisitions of the smaller startups. TD Ameritrade provides resources that can help clients research opportunities in technology stocks and other industries.
According to tech research firm CB Insights, whose own platform is powered by machine-learning AI, acquisitions of AI-based startups jumped by 44% in 2017; a total acquisition of 115 companies compared with only 22 companies acquired in 2013.
Here’s a shortlist of AI and deep learning startup acquisitions by large tech firms:
To learn more about the latest developments in artificial intelligence, machine learning, and deep learning, consider checking the Deep Learning Summit website. The information might give you a sense of just how massive an impact deep learning potentially has across a wide range of industries.
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