Commentary for the casual reader...
This is important stuff as it articulates what a BIG DOG sees..
Intelligence ON THE DEVICE.
Todd Mozer ( Sensory Inc. CEO) has seen the same thing for decades.
QUIK's CTO ( Dr. Saxe) must be very happy to hear this stuff from Fscebook as he too has spoken ofmore intelligence ON THE DEVICE>

It's a big pic item of some urgency now for everybody.

FPGA IP has much greater value from this new adjacent possible.

Applied Research Scientist, Machine Translation
(Menlo Park, CA)
Facebook's mission is to give people the power to share, and make the world more open and connected. Through our growing family of apps and services, we're building a different kind of company that helps billions of people around the world connect and share what matters most to them. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to make the world more open and accessible. Connecting the world takes every one of us—and we're just getting started.
Facebook is seeking an Applied Research Scientist to join our Machine Translation Team in Menlo Park. This team is part of the Applied Machine Learning organization within Facebook, working to break language barriers to create a world where everyone on Facebook can understand everyone else, no matter what languages they speak. In pursuit of this mission, the team has created machine translation systems that serve over 2 billion translations every day across 2000 different language pairs. However, this journey is still only 1% finished, and the team won't rest until they can produce human quality translations for all language directions. The ideal candidate will have a strong background in developing machine translation systems, a strong knowledge of neural networks, and have experience working with massive amounts of data. They should also have strong software engineering skills and the ability to build systems that reach Facebook scale.
Responsibilities

• Conduct research to advance the state of the art in neural networks and machine translation.
• Utilize that research to develop and deploy scalable neural network models into production to impact billions of people using Facebook.
• Contribute to helping the team develop machine learning models that help solve other language related problems, such as language identification and user language modeling.
• Collaborate with team members from other research and applied research teams working on a variety of deep learning and NLP problems.

Minimum Qualifications

• PhD/MS with relevant experience in the fields of machine translation, machine learning, deep learning, parsing or language modeling.
• 3+ years of experience in building in large-scale machine translation systems from the level of researching a prototype to the level of production.
• Experience with developing and training neural network models.
• Experience in C++ and Python.

Facebook wants the spoken word and the written word. Always with stuff like this is the sad part....those who can speak many languages are such great people to know.

There are MANY more such interesting jobs at Facebook.

On FPGA IP value...

The intrinsic scalability demonstrated by our FPGA implementation can be utilized to implement complex CNN – Convolutional Neural Networks on increasingly smaller and lower power FPGAs at the expense of some performance.



Give up the notion that QUIK don't got no IP worth a dime.
It is worth much more than you realize.