There have been
technical breakthroughs,
acquisitions,
funding deals,
open source releases in the field, and even the establishment of a
nonprofit research lab backed by the likes of Elon Musk and Peter Thiel.
All of the startups I included in my roundup
“5 deep learning startups to follow in 2015” (as well as others, like
Clarifai) have made progress of some kind this year. Now, as we wrap up 2015 and get ready for 2016, a different set of deep learning startups are top of mind for me.
Here they are:
Deep Instinct
Here’s a startup that’s trying to use deep learning to get big in the antivirus software market.
Deep Instinct officially
launched last month. Chief technology officer Omid “Eli” David, who received a Ph.D. in computer science at Israel’s Bar-Ilan University, is a longtime computer chess researcher who published a
paper(PDF) on deep belief networks for malware classification earlier this year. Deep Instinct’s investors include UST Global and Blumberg Capital.
Lunit
Lunit, whose cofounders come from the
DARPA Robotics Challenge-winningSouth Korean university KAIST, helps radiologists understand medical images. U.S. startup
Enlitic also does that, but Lunit is different by virtue of its Data-driven Imaging Biomarker (DIB) algorithm and its focus on chest X-rays, cofounder and chief executive Anthony Paek told VentureBeat in an email. Earlier this year the startup participated in the
ImageNet image recognition competition, going up against researchers from Google, Microsoft, Tencent, and other big technology companies. Last month Lunit raised $2 million from Formation 8, SoftBank Ventures Korea, and Daum Kakao’s K Cube Ventures.
Nnaisense
This early-stage startup hails from the Swiss city of Lugano. The name
Nnaisense“is pronounced like nascense, because it’s about the birth of a general purpose neural network-based artificial intelligence (NNAI),” cofounder and president Jürgen Schmidhuber told VentureBeat in an email.
Schmidhuber is scientific director of the Swiss AI lab IDSIA, which is also located in Lugano. Schmidhuber has a track record in artificial intelligence and
influence in the field as a result of his contributions.
TeraDeep
TeraDeep has built technology for image recognition, which is a very common use of deep learning. Based in Santa Clara, California, the startup has a few
YouTube videos demonstrating the applications of the technology. The startup offers Learning Camera software alongside application programming interfaces (APIs) that developers can incorporate into their applications. Facebook’s LeCun is an advisor of the startup, as is Clément Farabet, cofounder and chief technology officer of Madbits, the deep learning startup Twitter
acquired in 2014.