2020 AI Predictions
Neurala CEO Max Versace predicts where AI is headed in 2020.
In the past year, there have been many unexpected breakthroughs in the rapidly growing artificial intelligence industry that previously weren’t feasible. As a result, everyone wants to know what to expect from AI in 2020. Will this be the year of at the edge learning or perhaps the democratization of AI? The logical thing to do would be to ask an AI expert. It just so happens that we have many here at Neurala, 9 PhD’s in fact, including CEO Max Versace. Below, Max paints the landscape of what he believes is to come in the AI sector in 2020 and beyond.
“With AI and data becoming centralized, manufacturers are forced to pay massive fees to top cloud providers to access data that is keeping systems up and running. As a result, new routes to training AI that can be deployed and refined at the edge will become more prevalent. As we move into the new year, more and more manufacturers will begin to turn to the edge to generate data, minimize latency problems and reduce massive cloud fees. By running AI where it is needed (at the edge), manufacturers can maintain ownership of their data”—Max Versace, PhD, Co-Founder CEO, Neurala
Originally published by Gil Press, Forbes
“Customizable approaches to deep learning will make or break AI applications. Traditional approaches to deep learning can be tedious and time-consuming due to the need for massive amounts of data which need to be retrained over and over again. Moreover, data is often not available online or is confidential to one organization, so it cannot be combined with other data to create massive AI systems. In 2020, we’ll see the emergence of new paradigms and approaches to deep learning to solve these challenges. Manufacturers will move toward the edge."
Originally published by AITrends
“2020 will be the year that the manufacturing industry embraces AI to modernize the production line,” said Massimiliano Versace, CEO, and co-founder of Neurala. “For the manufacturing industry, one of the biggest challenges is quality control. Product managers are struggling to inspect each individual product and component while also meeting deadlines for massive orders.”
“By integrating AI solutions as a part of workflows, AI will be able to augment and address this challenge, Versace believes: “In the same way that the power drill changed the way we use screwdrivers, AI will augment existing processes in the manufacturing industry by reducing the burden of mundane and potentially dangerous tasks, freeing up workers’ time to focus on innovative product development that will push the industry forward.”
Originally published by Ben Dickson, TNW