Author: pwesling
Quantitative Analysis of Machine Learning Model Performance and the Need to Consider Explainability in It
— Machine Learning KPIs, Confusion Matrix, Precision, Recall, G-measure, ROC Curve, Youden’s J statistic, Type II Adversarial attack, R-squared, LIME, SHAP …
Heterogeneous Integration for AI Architectures: Advanced Packaging Approaches
— scaling, unique challenges, interposers, WLP, silicon bridges, 2.5D, 3D …
Artificial Intelligence Driven Smart Digital Diagnostics and Therapeutics for Neurological Disorders
— smart wearables, digital rehabilitation, augmented reality, virtual reality, cognitive therapy, psychiatric assessments, security issues in smart diagnostics …
Energy-Efficient High Speed Avalanche Photo Diode (APD) Optical Links for HPC, Data Centers
— high-performance & AI computing, SiPho, optical interconnects, low power, 1.6Tb/s, Si(Ge) …
AMA (Ask me Anything) on Data Privacy, Machine Unlearning, and more with Prof. Gautam Kamath
— IEEE Day event, research, directions, issues and solutions, career advice …
Hot Chips 2024 Conference (Hybrid)
— Attend In-Person at Stanford, or Virtually …
IEEE New Era World Leaders AI Summit
— two-day opportunity to check out this new technology, and potentially re-focus your SW/CS career …
Third International Conference on Applied Data Science (ICADS) 2024
— GenAI, keynotes, panels, workshops …
Blockchain Innovations: AI Integration and Security Trust
— blockchain, artificial intelligence, AI, security, decentralization, trust, smart contracts, bitcoin …
Nonfungible Tokens (NFTs): Transformative Potential and Risk Management
— emergence, tokens, blockchain technology, applications, workflows, challenges, strategies …
23rd New Frontiers in Computing Conference (NFIC 2022): Emerging Trends in Applied Data Science (Virtual)
Date: Saturday, August 13, 2022 from 4:00 PM – 8:00 PM (PDT) Program Book: New Frontiers in Computing 2022 Program Book Video: https://youtu.be/GuS6LqqB_hc Cost: none Speakers: Experts from USA and… Read more
Limitations of AI Systems with Respect to Explainability, Interpretability, Fairness, Ethics, and Causality
— domains, training, trust, predictability, explainable AI, research efforts …
Artificial Intelligence (AI) Opportunities and Risks
(CS program) — machine learning, deep learning, disruptions, trust, ethical, resilient, explainable …
Cybersecurity and Critical Infrastructure Protection
(CS program) — threats, attacks, awareness, ransomware, supply chain management, mitigation …
5 Practical Ways to Meta-Orchestrate Automation Across Multi-Cloud, Hybrid Cloud, Containers and Beyond
(CS program) — multi-cloud environments, workflows, on-premises, data transfers, examples …