Research
News about the latest peer-reviewed research by the world's most authoritative association for computing.
Recent Articles
By IEEE Computer Society Team
Security verification for hardware is literally foundational: hardware resides on technology's ground floor, so attacks on it can impact every floor above it, including
operating systems,
applications, and
communications.
To examine technology's hardware foundation, a group of researchers recently used simulation-based hardware in...
By IEEE Computer Society Team
Software-only solutions for preventing attackers from exploiting memory errors face two problems:
They are too expensive to be broadly deployed.
They are prone to circumvention.
These issues have motivated researchers to explore how to build and implement more reliable, efficient defensive features in hardware.
Exploring Hardware ...
By IEEE Computer Society Team
When traditional semiconductor technologies are unable to meet specific nonfunctional requirements of emerging products—including for factors such as energy consumption, peak power dissipation, and chip cost and/or size—new technologies must emerge to fill the gap.
In a recent IEEE Security & Privacy column, "Hardware Security in the Era of ...
By IEEE Computer Society Team
Deep neural networks will be crucial to future human–machine teams aiming to modernize safety-critical systems. Yet DNNs have at least two key problems:
Researchers have proposed many defense schemes to counter many attack vectors, yet none have yet secured DNNs from adversarial examples (AEs).
This DNN vulnerability to AEs renders th...
By IEEE Computer Society Team
As AI applications proliferate across industries and sectors, two key security questions arise:
Are these AI applications cyber-secure?
Can bad actors exploit them through attacks?
A recent article discusses these questions in relation to AI's Achilles' heel: adversarial machine learning (AdvML).
In "Lights Toward Adversarial Machin...
By IEEE Computer Society Team
For all its promised benefits and applications across industries, AI remains neither fully transparent nor explainable. For this and other reasons, AI is challenging us in myriad ways, both in what we must learn and how we must learn it—and it is doing so at warp speed.
The Computer article, "Grow Your Artificial Intelligence Competence," by C...
By IEEE Computer Society Team
In hardware, when an electronic chip fails or a functional module generates erroneous outputs, it can wreak havoc on people's lives—from private key leakages to radar failing in battle zones during incoming air strikes.
For hardware system vendors, such security breaches can be catastrophic both to their reputation and to the essential trust t...
By Aparna Krishna Bhat
Introduction to the Evolution of AI
The journey of artificial intelligence (AI) has been marked by significant milestones, transformative technologies, and an ever-expanding horizon of possibilities. From its inception in the mid-20th century to its current state of rapid innovation, AI has evolved through distinct phases, each characterized by ...
By IEEE Computer Society Team
Among the ripples proliferating from rapid AI development and use, few are more complicated than those hitting our natural environment and resources.
As society attempts to mitigate the increasingly devastating impacts of climate change, AI systems—which require vast amounts of energy and water to train and use—are clearly exacerbating the p...
By Sujan Abraham
Can we harness AI to empower every customer with their very own personal shopper, consultant and guide?
Does everything feel the same in the age of AI? Whether we talk about search results, articles and papers written by AI, chatbots, or image and video searches - many have rightly pointed out a feeling of sameness pervading everything that AI t...
By IEEE Computer Society Team
Despite AI's wild-fire spread across sectors, AI governance and regulation is still in its nascent stages. This creates massive gaps in AI oversight and society's ability to determine two key things:
who benefits from this reality-altering technology, and
who is responsible for its outputs and outcomes.
What this means and how we can...
By IEEE Computer Society Team
AI systems and applications are being unleashed across sectors without formalized accountability, impact assessment, or regulatory oversight of key ethical issues. As the authors of a 2024 Computer article point out, this makes voluntary standards and independent scrutiny all the more imperative.
The article, "Artificial Intelligence For the Ben...
By IEEE Computer Society Team
From serving up an unexpectedly perfect song in your music app to charting the safest evacuation routes for residents trapped by wildfires, AI is having an increasingly pervasive and impactful role in human life.
In the United States, however, the massive amounts of power and data AI research and development currently requires limits this work t...
By Nihad Bassis
In today's rapidly evolving world of artificial intelligence (AI), managing projects effectively is crucial for success. One of the essential activities in this process is the use of cost models. These tools are vital for understanding and managing the complex financial dynamics involved in AI projects. Given the significant investments requi...
By IEEE Computer Society Team
Does the promise of artificial intelligence outweigh its environmental impact? That is the subject of a recent paper published in the IT Professional journal by Nir Kshetri at the University of North Carolina at Greensborough, which scrutinizes the energy and water consumption AI and generative AI (GAI) models require along with the carbon emission...
The rapid emergence of generative AI has ushered in a new era of human-machine collaboration, with profound implications for various fields, including visualization. These powerful AI models have sparked speculation about the potential for augmenting or replacing traditional visualization approaches.
However, as Rahul C. Basole (Atlanta, GA, USA) ...
The vision of virtual reality has been the recreation of reality. However, in pursuing this vision, researchers and developers have largely prioritized visual fidelity over integrating other sensory modalities. Favoring a visual perception and, more recently, combining it with audio has led to the design of virtual worlds that look strikingly real ...
By IEEE Computer Society Team
Machine learning (ML) via classical computing has long been used by industries and researchers to meet a nearly infinite variety of challenges. Quantum machine learning (QML), on the other hand, is relatively new and generally underutilized in both industry and research.
Given the recent advances in quantum computing, researchers attending the 202...
By IEEE Computer Society Team
Quantum computing holds immense promise for revolutionizing many fields. However, unlocking this potential hinges on robust and efficient software development, a domain facing unique challenges unlike its classical counterpart.
This idea is explored in the conference proceeding, "Quantum Software Engineering Challenges from Developers' Perspective...
By IEEE Computer Society Team
The field of quantum software engineering (QSE) is rapidly growing, fueled by the potential for quantum computers to solve problems beyond the reach of traditional computers. But building functional quantum software requires a solid foundation, just like any other software project. That's where requirements engineering (RE) comes in as the critical...
There are no results for this search.
Analysis, Blogs, Commentary