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DTSTART:20261101T020000
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UID:calendar.71603.field_date.0@calendar.lafayette.edu
DTSTAMP:20261013T214253Z
DESCRIPTION:*Title: *Computing with ultra-sparse spikes: toward brain-inspi
 red algorithms  \nfor energy-efficient AI\n\n*Abstract:* AI has achieved o
 r surpassed human-level performance in many  \ntasks\, but current artific
 ial neural networks require substantial  \ncomputational and energy resour
 ces. These costs increasingly constrain the  \nscaling of AI models and th
 eir deployment on edge devices such as robots. In  \ncontrast\, the brain 
 performs sophisticated real-time computations with  \nremarkable energy ef
 ficiency. Understanding the computational principles that  \nenable this e
 fficiency may therefore provide new directions for  \nenergy-efficient AI.
 \nNeurons in the brain communicate primarily through spikes\, which are  
 \nnonlinear excursions of membrane potentials. Because generating and  \nt
 ransmitting spikes is energetically costly\, the brain often operates with
   \nremarkably sparse spiking activity. This raises a fundamental question
 : how  \nmuch useful computation can be achieved with very few spikes?\n\n
 In this talk\, I will show that important computations\, including finding
  the  \nmaximum among competing inputs and recognizing auditory objects in
  continuous  \nsensory streams\, can be performed using ultra-sparse spike
 s. I will also  \ndiscuss how these computational principles can be implem
 ented in neuromorphic  \nhardware\, including spin-based systems\, providi
 ng a potential route toward  \nmore energy-efficient AI.\n\n* **Anyone fro
 m the campus community is welcome\, but note that the talk will  \nassume 
 at least 1-2 years of physics classes as background.*\n \n 
DTSTART;TZID=America/New_York:20261021T161500
DTEND;TZID=America/New_York:20261021T173000
LAST-MODIFIED:20261001T172436Z
LOCATION:Hugel 100
SUMMARY:Physics Colloquium: Prof. Dezhe Jin
URL;TYPE=URI:https://calendar.lafayette.edu/node/71603
END:VEVENT
BEGIN:VEVENT
UID:calendar.71606.field_date.0@calendar.lafayette.edu
DTSTAMP:20261013T214253Z
DESCRIPTION:More details will be uploaded shortly. 
DTSTART;TZID=America/New_York:20261111T161500
DTEND;TZID=America/New_York:20261111T173000
LAST-MODIFIED:20260821T175452Z
LOCATION:Hugel 100
SUMMARY:Physics Colloquium: Prof. Carolyn Raithel
URL;TYPE=URI:https://calendar.lafayette.edu/node/71606
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