Challenges of Modelling from Aristotle to Deep Learning

Different Levels of Inference About Pairwise Regional Interactions: Testing for Shared Information in Brain and in Models

Neural Search and Recommendation in Classified Ads Platforms

Intelligent Contact Center and QC Copilot

Multi-Device Intelligence with a Data-Centric Approach to Federated Learning

Storage-Centric Computing

Membership Inference Attacks

Towards Understanding of Complex Activity Videos

Exploring the Intersection of AI, Quantitative Finance, and Fintech: Customized and Monetizable Products

Exploring the Intersection of AI, Quantitative Finance, and Fintech: Leveraging Reinforcement Learning for Algorithmic Trading

Robust Out-of-Distribution Detection

Interpersonal Alignment of Neural Evidence Accumulation to Social Exchange of Confidence

Data Infrastructure Architecture

Tapsage: Generative AI Solution and Infrastructure

Neuroscience-Inspired Evaluation and Architecture for Generative AI

Mean-field Analysis of Generalization Errors

Using Artificial Intelligence to Solve Combinatorial Problems

HW/SW Co-design, and the Branch Prediction

Hardware Security and Machine Learning: A Winning Combo!

Privacy Mechanisms for Sharing Datasets and Machine Learning Models

Brain-Inspired Machine Learning for Internet of Things (IoT)

SCION: The Next Generation Internet Architecture

Inversion of Deep Face Recognition Templates

Security/Reliability Landscape of Multi-Processor System-on-Chips

Artificial and Morphological Intelligence for Human Locomotion Assistance

Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems

Submodular Maximization for Data Summarization

Building Platforms with Worker at the Center: Building in Uber Alternative in San Diego

Building Platforms with Worker at the Center: Building in Uber Alternative in San Diego

Large Multimodal Models: From Flamingo to GPT-4V and Gemini

Scaling Robot Learning with Offline Data

Deep Dive into Cutting-Edge FPGA Design: Unleashing Performance Excellence

Navigating Software and System Flaws: Unveiling Vulnerabilities and Strategies for Addressing Them

Self-Supervised Learning Beyond Images

Utilizing Machine Learning in Bioinformatics and Computational Biology

Motion Forecasting with Generative Models

Evaluation of Generative Models in Federated Learning

Fault Tolerance in Vehicular Cloud Computing

Lost in Translation: A Study of Bugs Introduced by LLMs while Translating Code

Unleashing The Invisible World of Wireless Signals

AI Methods in Drug Discovery

Entrepreneurship for Improving Public Health