Job Title: Vice President and Distinguished Scientist
Affiliation: Nuance Communications
Bio: Ron Kaplan is a Vice President and Distinguished
Scientist at Nuance Communications and directs the Natural Language and
Artificial Before that, he was Chief Technology Officer
and Chief Scientific Officer at Powerset, a deep semantic-search company
that Microsoft acquired and merged into Bing. Powerset was a spin-out
of the (Xerox) Palo Alto Research Center and was based on technology
developed by the natural language research group that Ron
directed for many years at PARC. He holds 36 patents for inventions in the
language technology field.
Talk Title: The Conversational User Interface
Abstract: Work on both the graphical user interface (GUI) and the conversational user interface (CUI) started at about the same time, about 40 years ago. The GUI was a lot easier to implement, and it made computing and information resources available to ordinary people and not just to technical specialists. But over the years the GUI has lost much of its simplicity and charm. The CUI has taken many more years to develop, requiring major scientific and engineering advances in speech, natural language processing, user-modeling, and reasoning, not to mention increases in cost-effective computation. This talk surveys some of the technologies that are evolving to support natural conversation and suggests that natural conversation is what will permit simple interaction with the complex digital devices that we now encounter in our everyday lives.
Job Title: Director
Affiliation: Silicon Valley AI Lab, Baidu Research
Bio: Adam Coates is Director of the Silicon Valley AI Lab at Baidu Research in Sunnyvale. He received his PhD in 2012 from Stanford University and subsequently was a post-doctoral researcher at Stanford. During his graduate career, Coates co-developed the most sophisticated autonomous helicopter in the world, capable of advanced aerobatic maneuvers. He also worked on perception systems for household robots before studying deep learning algorithms. His thesis work investigated issues in the development of deep learning methods, particularly the success of large neural networks trained from large datasets. He also led the development of large scale deep learning methods using distributed clusters and GPUs. At Stanford, his team trained artificial neural networks with over 11 billion connections—the largest in the world—using techniques for high performance computing systems
Talk Title: Deep Speech
Abstract: (to come later)
Co-founder and CTO
Dr. Emmanuel Munguia Tapia received his MS and PhD degrees from the Massachusetts Institute of Technology (MIT) and has over 15 years of multi-disciplinary expertise combining machine learning, context awareness and novel sensor hardware to make mobile, wearable and IoT devices smarter. He is presently the cofounder and chief technology officer of AlgoSnap Inc., a startup focused on creating intelligent algorithms and analytics from massive sensor datasets to achieve unprecedented IoT device intelligence. Dr. Munguia Tapia was previously a technologist and strategist at Intel Corporation in the areas of machine learning, context awareness, sensors, and biosensors. As the former director of Context Awareness and Mobile Sensing for Samsung he won the Samsung Gold Medal Award for creating the most innovative technology company wide in 2014. He was also the recipient of the 10 year impact award at UBICOMP 2014, the top International Joint Conference on Pervasive and Ubiquitous Computing.
Dr. Munguia Tapia also holds a diploma in Engineering Leadership from University of California Berkeley and has 36+ international publications and 10+ patents. Past employers include Nokia Research, Oracle America, Mitsubishi Electric Research Labs, and Intel Research Labs. He obtained his bachelor’s degree with honors from the Instituto Politecnico Nacional (IPN), Mexico. At the time, he was named one of the best graduating engineers of the country by ANFEI and received the "Presea Lazaro Cardenas" award, one of the highest recognitions to academic excellence given by the President of Mexico.
BAMMF is a Bay Area Multimedia Forum series. Experts from both academia and industry are invited to exchange ideas and information through talks, tutorials, posters, panel discussions and networking sessions. Topics of the forum will include but not limited to emerging areas in vision, audio, touch, speech, text, sensors, human computer interaction, natural language processing, machine learning, media-related signal processing, communication, and cross-media analysis etc. Talks in the event may cover advancement in algorithms and development, demonstration of new inventions, product innovation, business opportunities, etc. If you are interested in giving a presentation at the forum, please contact us.
9th BAMMF Jan 21, 2016 @ Huawei Auditorium, San Jose
We are starting 2016 with the 9th BAMMF event on January 21 from 1:00 -5:00pm. The event is hosted by bo begole and Oliver Brdiczka and will take ...
Posted Nov 24, 2015, 7:34 PM by Bee Low
8th BAMMF Event Agenda - Nov 5, 2015 (Thur)
We are pleased to announce the agenda for the 8th BAMMF event on Nov 5, 2015:
Please note the new venue, Prysm Theater (180 Baytech Drive, Suite 200, San Jose ...
Posted Nov 4, 2015, 7:36 PM by Bee Low
7th BAMMF Event Agenda - Aug 21, 2015 (FRI)
Here is the agenda for the 7th BAMMF event on Aug 21, 2015:
1:00pm - 1:25pm Check-In,
Networking, and Short Announcements
1:30pm - 2:15pm Zhengyou Zhang (Microsoft ...
Posted Aug 19, 2015, 1:52 PM by Bee Low
Speakers for August 21, 2015 BAMMF
We're looking forward to have Susie Wee (Cisco), Zhengyou Zhang (Microsoft Research) and Bo Begole (Huawei) for the upcoming BAMMF event. Please mark your calendar on August 21, 2015 ...
Posted May 19, 2015, 8:25 PM by Bee Low