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Transforming Digital Learning: Learning Design Meets Service Design
Best Practices for Biomedical Research Data Management (HE)
Fundamentals of Reinforcement Learning
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Explore deep learning's impact on medical diagnoses, from arrhythmia detection to chest X-ray interpretation, and its potential to revolutionize diagnostic access and decision support in healthcare.
Explore energy-saving and density-increasing techniques in information processing using photonics, focusing on interconnects, quantum impedance conversion, and free-space beam arrays.
In this work, we propose BabbleLabble, a framework for training classifiers in which an annotator provides a natural language explanation for each labeling decision.
Explore the evolution and impact of design thinking, its benefits, and the emergence of design leadership as a transformative approach in problem-solving and innovation.
Explore the future of human-computer interaction with Scalable Intelligent Systems, integrating people, communications, and technology for cooperative environments beyond current social networks.
In this talk, Wen-mei Hwu presents on recent progress in building highly performant AI task libraries, creating full AI applications, providing AI application development tools, and prototyping the Erudite system at the IBM-Illinois C3SR.
Explore semantic AI agent Leela, modeled on Piaget's theories. Learn about her design, capabilities, and potential applications in autonomous systems and natural language interaction.
Explore innovative password security techniques, including passphrases and the Cue-Pin-Select algorithm, to enhance authentication while improving user experience and memorability.
Explore efficient and resilient systems for cognitive computing, covering swarm intelligence, sensor fusion, hardware optimization, and energy efficiency in the context of IBM's research.
Explore low power circuits, embedded intelligence, and 3D stack technologies. Discover innovative approaches to energy efficiency, adaptivity, and neuromorphic hardware in this Stanford seminar.
Explore high-dimensional neural data analysis, focusing on single-trial theories, task complexity, and latent state recovery. Gain insights into advanced neuroscience concepts and methodologies.
Explore computational memory as a potential alternative to traditional computing, covering in-memory computing, resistive memory devices, and applications in AI and data processing.
Explore accessible "making" through assistive technology, 3D printing, and design exercises. Learn to teach high-tech skills and choose appropriate tools and materials for inclusive maker projects.
Explore emerging technologies in computing from an architect's perspective, covering Moore's Law, scaling challenges, new devices, memories, 3D integration, and architectural simulation tools.
Explore deep learning's evolution and impact on speech recognition, from early AI to modern applications like Siri, covering key concepts, historical milestones, and practical implementations.
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