BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20180311T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20171105T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20180309T155458Z UID:379059F7-C997-11E7-A02F-0050568D7F66 DTSTART;TZID=America/Los_Angeles:20171128T183000 DTEND;TZID=America/Los_Angeles:20171128T200000 DESCRIPTION:IEEE San Diego Big Data Science & Engineering Special Interests Group joint by Young Professionals Affiliate Group\, Consumer Electronics \, AESS and RAS present\n\nDiscovering the brain’s internal algorithms: Leveraging neuroscience to develop machine natural intelligence\n\nSpeaker : Dr. Gabriel A. Silva\n\nAbstract:\nThe Center for Engineered Natural Int elligence (CENI) at the University of California San Diego brings together faculty\, students\, and industry partners in order to push the boundarie s of existing artificial intelligence through neuroscience. Our goal is to arrive at engineered natural intelligence in machines that emulates the u nique computational capabilities of the human brain. In particular\, our f ocus is on the development of systems and methods capable of achieving rob ust and adaptive contextual learning and analytics with minimal training a t ultra low power. What are the ‘algorithms’ that achieve this? How do es the neurobiology execute such algorithms? And how can we leverage what we learn to engineer forms of natural machine intelligence? Our philosophi cal approach is grounded in the perspective that pursuing a systems engine ering understanding of the biological brain does not necessarily mean that we have to reverse engineer it to the point that we are modeling every as pect of how the biology itself implements the brain’s internal algorithm s. The ’stuff’\, the wetware\, that the brain is made from necessitate s that biology rely on mechanisms that make use of genetic programs to pro duce proteins\, ion channels\, and other molecular structures that interac t with a wide range of chemical factors in an aqueous environment. But the rules and algorithms that make up the repertoire of its computational pro perties are independent of the biological substrates that implement them. Our goal is to arrive at an understanding of the brain’s algorithms in a way that puts them in context with their biological implementation\, but which are based on mathematical descriptions independent of the biological details responsible for executing them. Towards these goals\, we are purs uing two major projects. The first is aimed at achieving original and crea tive machine-generated data and novel ‘ideas’ in cognitive computing s ystems. The second involves the development of machine learning on network s that structurally adapt in near real time to available data resolution a nd computational resources. At the same time\, an engineering approach to neuroscience provides a unique perspective on systems neuroscience. We wil l also discuss applications of this work to dynamic connectomics and cell signaling.\n\nSpeaker Bio:\nDr. Gabriel A. Silva is Professor and Vice Cha ir of the Department of Bioengineering\, and Professor of Neurosciences at the University of California San Diego. He is the Founding Director of th e Center for Engineered Natural Intelligence and holds a Jacobs Faculty En dowed Scholar in Engineering. He also has additional appointments in the D epartment of NanoEngineering\, the BioCircuits Institute\, the Neuroscienc es Graduate Program\, Computational Neurobiology Program\, and Institute f or Neural Computation. Professor Silva received an Hon.B.Sc. in human phys iology and a B.Sc. in biophysics from the University of Toronto\, Canada i n 1996\, followed by an M.Sc. in neuroscience also from the University of Toronto in 1997. He then did his Ph.D. in bioengineering and neurophysiolo gy at the University of Illinois at Chicago\, graduating in 2001\, followe d by a postdoctoral fellowship in the Institute for BioNanotechnology and Medicine (IBNAM) and the Department of Neurology at Northwestern Universit y in Chicago from 2001 to 2003. He joined the faculty at the University of California\, San Diego in 2003. Prof. Silva has received numerous awards and recognitions for his research and teaching\, including the IEEE/EMBS E xcellence in Neural Engineering award\, Wallace Coulter Foundation Early C areer award\, Faculty of the Year award for undergraduate education from t he Tau Beta Pi Engineering Honors Society\, selection to “Nanoscience: T he best of NATURE publications”\, and the YC Fung Young Investigator Awa rd and Medal. He has published over 50 different peer reviewed papers\, bo ok chapters\, and books\, over 100 abstracts and conference proceedings at national and international meetings\, and has given over 130 lectures and invited talks. He is an Associate Editor of four different journals and i s on the editorial board of 16 journals. He has also reviewed grants for n umerous national federal and private organizations\, including NIH\, NSF\, and DoD\, as well as a number of international organizations from countri es all over the world\, including France\, the UK\, Singapore\, Israel\, C anada\, Hong Kong\, and Ireland. Of particular note\, he served on the NIH Neurotechnology study section as a standing member for eight years. Dr. S ilva is a co-inventor on thirty issued or pending patents\, is a co-founde r of several start-up companies\, and is on a number of executive and scie ntific advisory boards.\n\nQuestions: yongxin.zhang@ieee.org\n\nAgenda: \n 6:30 – 6:45 PM: Networking and Refreshments\n7:00 – 8:00 PM: Presentat ion\n8:00 – 8:15: Open Q/A and open forum discussions\n\nRoom: Auditoriu m\, Bldg: AZ\, Qualcomm Building AZ Auditorium\, 10155 Pacific Heights Blv d\, San Diego\, California\, United States\, 92121 LOCATION:Room: Auditorium\, Bldg: AZ\, Qualcomm Building AZ Auditorium\, 10 155 Pacific Heights Blvd\, San Diego\, California\, United States\, 92121 ORGANIZER:yongxin.zhang@ieee.org SEQUENCE:2 SUMMARY:Discovering the brain’s internal algorithms: Leveraging neuroscie nce to develop machine natural intelligence URL;VALUE=URI:https://events.vtools.ieee.org/m/48464 X-ALT-DESC:Description: <br /><p>IEEE San Diego Big Data Science &amp\; Eng ineering Special Interests Group joint by Young Professionals Affiliate Gr oup\, Consumer Electronics\, AESS and RAS present</p>\n<p><strong>Discover ing the brain&rsquo\;s internal algorithms: Leveraging neuroscience to dev elop machine natural intelligence</strong></p>\n<p><strong>&nbsp\;</strong ><strong><em>Speaker:&nbsp\;&nbsp\;Dr. Gabriel A. Silva</em></strong></p>\ n<p><strong>Abstract:&nbsp\;<br /> </strong>The Center for Engineered Natu ral Intelligence (CENI) at the University of California San Diego brings t ogether faculty\, students\, and industry partners in order to push the bo undaries of existing artificial intelligence through neuroscience. Our goa l is to arrive at engineered natural intelligence in machines that emulate s the unique computational capabilities of the human brain. In particular\ , our focus is on the development of systems and methods capable of achiev ing robust and adaptive contextual learning and analytics with minimal tra ining at ultra low power. What are the &lsquo\;algorithms&rsquo\; that ach ieve this? How does the neurobiology execute such algorithms? And how can we leverage what we learn to engineer forms of natural machine intelligenc e? Our philosophical approach is grounded in the perspective that pursuing a systems engineering understanding of the biological brain does not nece ssarily mean that we have to reverse engineer it to the point that we are modeling every aspect of how the biology itself implements the brain&rsquo \;s internal algorithms. The &rsquo\;stuff&rsquo\;\, the wetware\, that th e brain is made from necessitates that biology rely on mechanisms that mak e use of genetic programs to produce proteins\, ion channels\, and other m olecular structures that interact with a wide range of chemical factors in an aqueous environment. But the rules and algorithms that make up the rep ertoire of its computational properties are independent of the biological substrates that implement them. Our goal is to arrive at an understanding of the brain&rsquo\;s algorithms in a way that puts them in context with t heir biological implementation\, but which are based on mathematical descr iptions independent of the biological details responsible for executing th em. Towards these goals\, we are pursuing two major projects. The first is aimed at achieving original and creative machine-generated data and novel &lsquo\;ideas&rsquo\; in cognitive computing systems. The second involves the development of machine learning on networks that structurally adapt i n near real time to available data resolution and computational resources. At the same time\, an engineering approach to neuroscience provides a uni que perspective on systems neuroscience. We will also discuss applications of this work to dynamic connectomics and cell signaling.</p>\n<p>&nbsp\;< /p>\n<p><strong>Speaker Bio:<br /> </strong>Dr. Gabriel A. Silva is Profes sor and Vice Chair of the Department of Bioengineering\, and Professor of Neurosciences at the University of California San Diego. He is the Foundin g Director of the Center for Engineered Natural Intelligence and holds a J acobs Faculty Endowed Scholar in Engineering. He also has additional appoi ntments in the Department of NanoEngineering\, the BioCircuits Institute\, the Neurosciences Graduate Program\, Computational Neurobiology Program\, and Institute for Neural Computation. Professor Silva received an Hon.B.S c. in human physiology and a B.Sc. in biophysics from the University of To ronto\, Canada in 1996\, followed by an M.Sc. in neuroscience also from th e University of Toronto in 1997. He then did his Ph.D. in bioengineering a nd neurophysiology at the University of Illinois at Chicago\, graduating i n 2001\, followed by a postdoctoral fellowship in the Institute for BioNan otechnology and Medicine (IBNAM) and the Department of Neurology at Northw estern University in Chicago from 2001 to 2003. He joined the faculty at t he University of California\, San Diego in 2003. Prof. Silva has received numerous awards and recognitions for his research and teaching\, including the IEEE/EMBS Excellence in Neural Engineering award\, Wallace Coulter Fo undation Early Career award\, Faculty of the Year award for undergraduate education from the Tau Beta Pi Engineering Honors Society\, selection to & ldquo\;Nanoscience: The best of NATURE publications&rdquo\;\, and the YC F ung Young Investigator Award and Medal. He has published over 50 different peer reviewed papers\, book chapters\, and books\, over 100 abstracts and conference proceedings at national and international meetings\, and has g iven over 130 lectures and invited talks. He is an Associate Editor of fou r different journals and is on the editorial board of 16 journals. He has also reviewed grants for numerous national federal and private organizatio ns\, including NIH\, NSF\, and DoD\, as well as a number of international organizations from countries all over the world\, including France\, the U K\, Singapore\, Israel\, Canada\, Hong Kong\, and Ireland. Of particular n ote\, he served on the NIH Neurotechnology study section as a standing mem ber for eight years. Dr. Silva is a co-inventor on thirty issued or pendin g patents\, is a co-founder of several start-up companies\, and is on a nu mber of executive and scientific advisory boards.</p>\n<p>&nbsp\;<strong>Q uestions:</strong><strong>&nbsp\;</strong><a href="mailto:yongxin.zhang@ie ee.org">yongxin.zhang@ieee.org</a></p><br /><br />Agenda: <br /><p>6:30 &n dash\; 6:45 PM: Networking and Refreshments<br />7:00 &ndash\; 8:00 PM:&nb sp\;Presentation<br />8:00 &ndash\; 8:15: Open Q/A and open forum discussi ons</p> END:VEVENT END:VCALENDAR