That wet suit we bought with the plans to learn scuba diving and the sewing machine we thought would get us started on making clothes, they're all gathering dust.
A Tape Recorder Museum would show off the vast, imperishable Grundig reel-to-reel machines on which we once recorded "My Generation" and "Flowers in the Rain", machines we thought were the last word in techno-wizardry but which were made redundant by cassettes overnight.
When most of us think of machine translation, we think of Google Translate (sorry Facebook and my 8th grade Spanish teacher).
"At IBM, we're very interested in anything that enables higher performance, better business outcomes for data science and machine learning — and we think Nvidia has something very unique here," Rob Thomas, the GM of IBM Analytics told me.
Also, because of the importance of high-quality, relevant data for machine learning models, we think that industry-specific applications or applications for specialized uses will present the most immediate pockets of opportunity at the Finished Services or application layer.
"We think machine learning as it relates to healthcare and life sciences is extraordinary," she said.
We think machine learning (aided by reinforcement learning) will soon allow robots to compete [with humans]." TechCrunch asked Gross why set aside a separate track for AI startups.
