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

Intelligent Contact Center and QC Copilot

Neural Search and Recommendation in Classified Ads Platforms

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

Storage-Centric Computing

Towards Understanding of Complex Activity Videos

Membership Inference Attacks

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

Mean-field Analysis of Generalization Errors

Using Artificial Intelligence to Solve Combinatorial Problems

Neuroscience-Inspired Evaluation and Architecture for Generative AI

Hardware Security and Machine Learning: A Winning Combo!

HW/SW Co-design, and the Branch Prediction

Privacy Mechanisms for Sharing Datasets and Machine Learning Models

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

Inversion of Deep Face Recognition Templates

SCION: The Next Generation Internet Architecture

Artificial and Morphological Intelligence for Human Locomotion Assistance

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

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

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

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

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

Motion Forecasting with Generative Models

Utilizing Machine Learning in Bioinformatics and Computational Biology

Fault Tolerance in Vehicular Cloud Computing

Evaluation of Generative Models in Federated Learning

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

Unleashing The Invisible World of Wireless Signals

Entrepreneurship for Improving Public Health

AI Methods in Drug Discovery