Hidden Weaknesses: The New Frontier of ML Hardware Security
As machine learning (ML) becomes increasingly embedded in hardware, especially through specialized accelerators, new security risks are emerging. Modern ML accelerators rely on complex, globally distributed supply chains, creating opportunities for attackers to insert malicious modifications—known as hardware Trojans (HTs)—into the design or manufacturing process.
Smarter Touch: Teaching Robots to Predict Human Interaction
With the growing use of wearable tactile sensor arrays, tactile sensory outcomes (TSOs) provide valuable insight into a robot’s dynamic responses to its actions. Accurately estimating a robot’s dynamic state during physical human-robot interaction (pHRI) is essential for handling real-world uncertainty. Enabling robots to adapt effectively in pHRI remains a key challenge for embodied intelligence, making reliable dynamic state estimation during interactions critically important.
Securing Artificial Intelligence Systems
The growing integration of artificial intelligence into critical infrastructure, finance, and security-sensitive environments introduces a new and complex attack surface that conventional cybersecurity approaches alone cannot adequately address. The proliferation of AI in smart cities, finance, and public services amplifies the need to examine security threats targeting both the models and their ecosystems. While AI systems offer capabilities such as real-time analytics and automated decision-making, they also introduce unique vulnerabilities.
Building EV Infrastructure with Clean Energy
The transition to renewable energy sources (RESs) plays a pivotal role in reducing greenhouse gas emissions and promoting sustainable development. Integrating renewable energy into the transportation sector can substantially lower fossil fuel dependency and associated emissions. Electric Vehicles (EVs) are notably more energy-efficient than traditional combustion vehicles (CVs), primarily due to their simpler drivetrains and regenerative braking. The global transition toward electric mobility underscores the urgent need for sustainable, intelligent charging infrastructure powered by renewable energy.
Advances in Aerospace Engine Design Health Monitoring
Sophisticated mechanical systems, including aerospace engines, possess intricate structures and operate in harsh environments with multisource disturbances, leading to rapid fault propagation, frequent false alarms, and distorted health assessments. Liquid aerospace engines, in particular, have limited operating margins and are therefore highly susceptible to failure in launch vehicles.
Generative AI for Semantic Communication: Applications and the Way Ahead
The exponential increase in mobile data traffic, coupled with the widespread adoption of Internet of Things (IoT) devices, has imposed significant demands on contemporary communication systems. The rapid advancement of generative artificial intelligence (GenAI) has introduced novel opportunities for semantic communication (SemCom) systems by enabling systems to transmit more efficiently than traditional approaches.
Power Systems: A Roadmap for System Stability
Power systems worldwide are undergoing a fundamental transformation as they move toward climate neutrality. Renewable energy sources (RES) are rapidly becoming the dominant form of generation, while conventional power plants are phased out. At the same time, electrification is accelerating across sectors, such as transport, industry, and hydrogen production, with battery storage and distributed energy resources increasingly connected at the local grid level.
Building Robots for Uncertain Terrain
Humanoid robots serve as a critical platform for advancing research in embodied intelligence, integrating dexterous manipulation, agile locomotion, and artificial intelligence. To be effectively deployed in daily human environments, robots must be capable of traversing complex, uncertain terrain—such as cobblestone surfaces and sloped ground—while simultaneously maintaining sufficient upper-body stability to execute tasks.
Leveraging AI to Advance Sustainability in Smart Manufacturing
The term “Industry 4.0” refers to the integration of digital technologies into industrial environments. New technologies have had a profound impact on manufacturing, as intelligent systems generate exponentially increasing amounts of data and require a higher level of workforce expertise.
AgeTech Innovation: Wearable Fall Detection
Falls are a common and high-risk event among older adults and individuals with mobility impairments. As one of the leading causes of injury and mortality in elderly populations, timely detection of falls is critical for improving quality of life and reducing long-term healthcare burdens. In recent years, there has been growing interest in developing wearable fall detection systems that offer high accuracy, low latency, and long-term usability in daily environments.
Fueling the Fourth Industrial Revolution
The Fourth Industrial Revolution is upon us, and IEEE is leading the way. Learn more about key technologies that will change the way we live in this new era and how IEEE research is fostering innovation and education in these fields.












