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DTSTART;TZID=America/Los_Angeles:20250812T173000
DTEND;TZID=America/Los_Angeles:20250812T173000
DTSTAMP:20260421T040417
CREATED:20250724T070000Z
LAST-MODIFIED:20250925T231319Z
UID:10000081-1755019800-1755019800@events.ucsc.edu
SUMMARY:Effective Multigenerational Communication
DESCRIPTION:Join the Silicon Valley NHRA and learning partner Steps for an interactive session using drama-based learning to improve communication across generations in the workplace. Through scenario-based activities\, you'll explore real-world challenges and uncover how different generations approach work\, communication\, and leadership. Learn how this approach supports HR and talent strategies by equipping teams with the tools to build stronger connections and a greater sense of belonging. Discover how generational differences can become a strength—not a barrier—to organizational success. \nThis event is sponsored by the UCSC Silicon Valley Extension Human Resource Management Certificate Program.
URL:https://events.ucsc.edu/event/effective-multigenerational-communication/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training
GEO:37.3796975;-121.9765484
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DTSTART;TZID=America/Los_Angeles:20250813T100000
DTEND;TZID=America/Los_Angeles:20250813T100000
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CREATED:20250805T070000Z
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SUMMARY:Interested in a paralegal career?
DESCRIPTION:You are invited to join a free\, online informational session to learn more about the Center for Legal Studies Paralegal Certificate Course©\, a professional education program taught through the UCSC Silicon Valley Extension Paralegal Studies program. \nTopics \n\n\nCareer growth and earning potential \n\n\nAn overview of how CLS works with accredited college and university partners \n\n\nCourse pricing and payment options \n\n\nCourse materials and textbooks \n\n\nInstructor and peer/student interactions \n\n\nHow the online course works \n\n\n\nQ&A: There will be 15 minutes dedicated to Q&A\, so please bring any questions you might have.  \nRegister to receive the event recording \nIf you are unable to attend the webinar at this date and time\, please still register and the BARBRI team will send out the recorded webinar for you to view. \nThis event is co-sponsored by the UCSC Silicon Valley Professional Education Legal Studies program.
URL:https://events.ucsc.edu/event/interested-in-a-paralegal-career-8312/
CATEGORIES:Lectures & Presentations,Training
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DTSTART;TZID=America/Los_Angeles:20250813T120000
DTEND;TZID=America/Los_Angeles:20250813T120000
DTSTAMP:20260421T040417
CREATED:20250924T212032Z
LAST-MODIFIED:20250924T212032Z
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SUMMARY:Lunch & Learn: Onboarding Graduate Students for Research
DESCRIPTION:Join colleagues from the Office of Research Compliance Administration and Baskin Engineering on August 13\, 12-1 p.m.\, for a practical overview of onboarding graduate students in their role as researchers. This session will cover key institutional requirements needed before students begin research activities. Speakers will highlight common pitfalls\, share best practices\, and offer strategies to set students up for success.
URL:https://events.ucsc.edu/event/lunch-learn-onboarding-graduate-students-for-research/
CATEGORIES:Training
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DTSTART;TZID=America/Los_Angeles:20250816T090000
DTEND;TZID=America/Los_Angeles:20250816T090000
DTSTAMP:20260421T040417
CREATED:20250610T070000Z
LAST-MODIFIED:20250925T231618Z
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SUMMARY:AI Workshop: Spiking Neural Networks
DESCRIPTION:Welcome to our immersive AI technology workshop series. During these sessions you will be introduced to new and established AI tools that will help you create and manipulate content in new and powerful ways. Each session is led by an industry expert who will guide you through the material and share its real-world implications. \nLearning Outcomes \nAt the conclusion of the workshop\, you should be able to \n\nDescribe and discuss the fundamental principles of Spiking Neural Networks (SNNs)\, including spike-based data representation\, key neuron models (e.g.\, Leaky Integrate-and-Fire)\, synaptic operations\, the current state-of-the-art in neuromorphic hardware\, and the realistic short-term and long-term potential of SNNs in the broader AI landscape.\nExplain the differences between Spiking Neural Networks (SNNs) and traditional Artificial Neural Networks (ANNs)\, articulating the motivational factors for SNN adoption such as energy efficiency and event-driven computation.\nDemonstrate an ability to properly and effectively implement simple SNN applications (e.g.\, the XOR problem and a more complex use case) using tools like Nengo\, understanding how information is encoded and processed through spike trains\, and applying different training approaches for SNNs while contrasting them with traditional backpropagation and evaluating the challenges and opportunities in SNN learning.\n\nTopics Include \n\nIntroduction to Spiking Neural Networks: What are SNNs? Visualizing spike-based computation.\nWhy SNNs Matter: Motivations (energy efficiency\, neuromorphic hardware)\, real-world applications (robotics\, IoT)\, and a realistic look at when they are most beneficial.\nCore Concepts of SNNs: Spike-based representation (events\, timing\, frequency)\, simplified neuron models (LIF)\, synaptic function\, and encoding strategies (rate vs. temporal).\nHands-On with SNNs (Nengo Demo): Interactive exploration of spike generation\, parameter tuning\, and visualizing network behavior.\nProblem Solving with SNNs:\nThe XOR problem: Understanding challenges with discrete logic.\nApplying SNNs to continuous\, real-world analog-like problems.\nTraining Spiking Neural Networks: Exploring alternatives to backpropagation (e.g.\, evolutionary computation\, PSO) and understanding the associated challenges.\nThe Neuromorphic Landscape: Introduction to key neuromorphic hardware (e.g.\, Intel Loihi\, BrainChip Akida)\, their architectures\, and real-world case studies.\nCurrent Limitations and Future Outlook: Discussing speed vs. efficiency\, challenges in tooling and frameworks\, and the short-term and long-term vision for SNN adoption.\n\nStudents are required to bring laptops for class exercises. \nThis event is co-sponsored by the UCSC Silicon Valley Professional Education Artificial Intelligence program.
URL:https://events.ucsc.edu/event/ai-workshop-spiking-neural-networks/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training
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