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X-ORIGINAL-URL:https://svec.org
X-WR-CALDESC:Events for Silicon Valley Engineering Council
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DTSTART:20240101T000000
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DTSTART;VALUE=DATE:20250131
DTEND;VALUE=DATE:20250201
DTSTAMP:20260420T022357
CREATED:20250125T230712Z
LAST-MODIFIED:20250125T230712Z
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SUMMARY:Spring Phase 2 Deadline - Schedule Build for Priority Room Scheduling
DESCRIPTION:Deadline to submit schedule changes to be included in priority room scheduling for Spring Quarter
URL:https://svec.org/event/spring-phase-2-deadline-schedule-build-for-priority-room-scheduling/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Pacific/Honolulu:20250131T090000
DTEND;TZID=Pacific/Honolulu:20250131T100000
DTSTAMP:20260420T022357
CREATED:20250122T060915Z
LAST-MODIFIED:20250122T060915Z
UID:64354-1738314000-1738317600@svec.org
SUMMARY:Predictive Engineering and Artificial Intelligence
DESCRIPTION:Humans make decisions and solve problems using heuristics (“thinking fast”) or abstract approaches such as modeling (“thinking slow”). Artificial intelligence approaches can similarly use either heuristics that are related to correlation and categorization\, or use models that are related to causation. Predictive Engineering\, which melds engineering modeling with probabilistic thinking\, aligns closely with causation and an aspect of artificial intelligence called Causal Learning. Issues with some artificial intelligence approaches will be explored\, with real (and sometimes controversial and provocative) examples\, and promising approaches encompassing causation /predictive engineering will be discussed.\n[]\nSpeaker(s): Eric Maass\nVirtual: https://events.vtools.ieee.org/m/445270
URL:https://svec.org/event/predictive-engineering-and-artificial-intelligence/
LOCATION:Virtual: https://events.vtools.ieee.org/m/445270
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Pacific/Honolulu:20250131T090000
DTEND;TZID=Pacific/Honolulu:20250131T100000
DTSTAMP:20260420T022357
CREATED:20250122T060915Z
LAST-MODIFIED:20250122T060915Z
UID:64355-1738314000-1738317600@svec.org
SUMMARY:Predictive Engineering and Artificial Intelligence
DESCRIPTION:Humans make decisions and solve problems using heuristics (“thinking fast”) or abstract approaches such as modeling (“thinking slow”). Artificial intelligence approaches can similarly use either heuristics that are related to correlation and categorization\, or use models that are related to causation. Predictive Engineering\, which melds engineering modeling with probabilistic thinking\, aligns closely with causation and an aspect of artificial intelligence called Causal Learning. Issues with some artificial intelligence approaches will be explored\, with real (and sometimes controversial and provocative) examples\, and promising approaches encompassing causation /predictive engineering will be discussed.\n[]\nSpeaker(s): Eric Maass\nVirtual: https://events.vtools.ieee.org/m/445270
URL:https://svec.org/event/predictive-engineering-and-artificial-intelligence-2/
LOCATION:Virtual: https://events.vtools.ieee.org/m/445270
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250131T190000
DTEND;TZID=UTC:20250201T000000
DTSTAMP:20260420T022357
CREATED:20250124T230349Z
LAST-MODIFIED:20250124T230349Z
UID:64680-1738350000-1738368000@svec.org
SUMMARY:Cross-Issue Creativity for Environmental Justice
DESCRIPTION:A half-day intensive workshop led by the California Allegory Project to share their design-research methodology advancing Environmental Justice through art.\nBrought to you by the EJ Working Group\, Earthtones\, and the Beehive Design Collective.
URL:https://svec.org/event/cross-issue-creativity-for-environmental-justice/
LOCATION:O’Donohue Educational Farm
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250131T220000
DTEND;TZID=UTC:20250131T230000
DTSTAMP:20260420T022357
CREATED:20250124T230347Z
LAST-MODIFIED:20250124T230347Z
UID:64669-1738360800-1738364400@svec.org
SUMMARY:To Cervantes with Love: Cervantine Blackness 
DESCRIPTION:Nicholas R. Jones (Assistant Professor\, Department of Spanish and Portuguese\, Yale University)\nThis presentation delves into the depths of Miguel de Cervantes’s portrayal of black Africans and sub-Saharan Africa in Nicholas R. Jones’s latest scholarly work\, Cervantine Blackness (Penn State UP\, 2024). With Cervantine Blackness\, Jones challenges entrenched paradigms and invites a reevaluation of the complexities surrounding racialized blackness and black social life in Cervantes’s literary corpus. By recalibrating the focus from conventional narratives of “agency” and “resistance” to a nuanced understanding of black subjects within Cervantes’s works\, Jones offers a systematic deconstruction of long-standing prejudices that seeks to forge new paths in literary and cultural criticism. This lecture will challenge its audience to rethink the portrayal of blackness in early modern literature writ large and\, more importantly\, its implications for contemporary discourse.\nRegistration Here
URL:https://svec.org/event/to-cervantes-with-love-cervantine-blackness/
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