
Explore the Perun IoT framework for autonomous machine-to-machine payments, enabling embedded devices to transact securely and scalably in supply chain, logistics, and IoT sectors.

Explore how federal transportation investments can contribute to New Jersey's greenhouse gas emissions reduction goals for 2030 and 2050.

Explore New Jersey's Priority Climate Action Plan for achieving 50% greenhouse gas reduction by 2030, focusing on key sectors and implementation strategies.

Explore New Jersey's Priority Climate Action Plan for transportation, focusing on near-term measures to achieve 50% greenhouse gas reduction by 2030.

Explore key lunar science questions and discoveries with Dr. Parvathy Prem, covering topics from remote sensing to polar volatiles and impact cratering.

Explore CHGNet, a graph-neural-network-based machine-learning potential for modeling universal potential energy surfaces in large-scale simulations with complex electron interactions.

Explore AI agents for autonomous labs, focusing on their applications and potential in scientific research and experimentation.

Explore Coulomb blockade in non-thermalised quantum dots, examining non-equilibrium transport properties and potential conductance peaks as indicators of the non-thermalised regime.

Explore electron wave function effects in optoelectronics and transport, including Berry curvature, topological states in bilayer graphene, anomalous Hall materials, and electron hydrodynamics.

Explore a novel electrical breakdown mechanism for exciton insulators, examining the instability of many-body ground states and its implications for condensation energies and electric fields.

Explore AI agents and environments, learning key concepts and structures for modern problem-solving in intelligent systems.

Explore cache-friendly data structures and algorithms in C++. Learn techniques to analyze and improve cache efficiency, optimizing performance through memory layout and access patterns.

Explore advanced C++ techniques for enhancing type safety in linear algebra libraries, focusing on physical unit annotations for matrices and vectors. Learn efficient implementation strategies and their applications.

Optimize C++ code for hardware efficiency. Learn to identify and overcome CPU and memory bottlenecks, improve instruction-level parallelism, and enhance performance through better resource utilization.

Explore modern C++ features in action through a practical application. Journey through modules, network programming with coroutines, and C++23 innovations for real-world development.

Explore modern C++20 zero-overhead serialization techniques for enhanced performance, embedded support, and simplified development. Learn to optimize data handling and inter-process communication.

Explore modern C++ patterns for efficient embedded programming. Learn to express intent clearly, ease maintenance, and encourage code reuse while optimizing for resource-constrained systems.

Explore heterogeneous multi-core systems for efficient embedded ML, addressing challenges in core optimization, workload mapping, and data sharing. Gain insights from KULeuven MICAS research.

Explore advanced perception systems for autonomous agents in dynamic environments. Covers multi-object tracking, human motion forecasting, and social interaction analysis for safe navigation and interaction.

Learn to program and interact with PIO blocks and state machines on Raspberry Pi Pico W. Covers instantiation, assembly code writing, and Python integration for advanced microcontroller projects.

Explore Diffusion Policy for robotic control with researcher Cheng Chi, covering innovative approaches to decision-making and action generation in complex environments.