Alison Derbenwick Miller brings extensive executive leadership experience to ACM, with a focus on research, education, and global partnerships. As CEO, she aims to strengthen ACM's role in advancing computing, promoting technical excellence, and supporting member growth.
Devadas pioneered the field of hardware security, making foundational contributions to Trusted Execution Environments (TEEs), Physical Unclonable Functions (PUFs), and Side Channel Resistant Processors. His innovations have shaped both academia and industry, safeguarding data in a digital world.
The Association for Computing Machinery (ACM) will publish Theory and Practice of Logic Programming (TPLP), an international venue for refereed papers on logic programming. The entire TPLP archive dating back to 2001 will be openly accessible via the ACM Digital Library.
The ACM Technology Policy Council's TechBrief examines agentic AI's legal liability, security risks, and workforce impacts. Existing frameworks fall short in addressing accountability questions, highlighting the need for defined authentication and delegation standards, robust audit trails, and sector-specific guidance.
Allen Liu's dissertation resolves major questions in understanding quantum phenomena and simulating physics through learning theory perspectives. Groundbreaking algorithms prove a new physical law, with far-reaching implications still being unraveled by the quantum computing community.
Elisa Bertino, Purdue University professor, has been elected ACM President, aiming to strengthen the organization's role in promoting computing excellence. She plans to support early-career researchers, promote open access to publications, and expand ACM's reach globally.
The Association for Computing Machinery announced three technical awards for innovations in global wireless standards, machine learning, and 3D generative AI. Erdal Arikan received the Paris Kanellakis Theory and Practice Award for his discovery of channel polarization and polar codes.
ACM recognizes educators Yasmin Kafai and Mitchel Resnick for their contributions to creative computing and Scratch. Ed Felten receives the ACM Policy Award for his work on technology policy, while Jodi Tims is honored with the Outstanding Contribution to ACM Award for increasing women's participation in computing
Monika Henzinger, an Austrian researcher, has made significant contributions to dynamic graph algorithms and web algorithms. She is recognized for her outstanding work in processing large datasets and mentoring the next generation of researchers.
Nicki Washington, a Duke University professor, has been recognized by the Association for Computing Machinery (ACM) for her exceptional commitment to diversifying the computing community. Her mentoring programs have led to increased student success and career opportunities.
The report examines how generative AI tools are transforming software development, offering benefits such as increased productivity but also raising security vulnerabilities and technical debt. Strong software engineering practices are still required to ensure systems are secure, reliable, and maintainable.
Ricardo Baeza-Yates has made fundamental contributions to computer science through his pioneering work in algorithms and information retrieval. He has fostered a vibrant transnational research community across Latin America, inspiring young people with the South American Programming Contest.
Matei Zaharia's work on open-source systems like Apache Spark, Delta Lake, and MLflow has enabled large-scale machine learning, analytics, and AI at global scale. His innovations have made scalable computing accessible to researchers, nonprofits, and enterprises across every industry.
The Association for Computing Machinery has published its inaugural issue of ACM AI Letters, a premier venue for rapid and timely AI research. The journal aims to bridge the gap between traditional conferences and journals, featuring short, peer-reviewed contributions that accelerate knowledge dissemination across academia and industry.
Researchers will gather to discuss how to engineer AI systems that work in the real world, focusing on composition, optimization, verification, and evaluation. The conference aims to establish shared foundations for a new class of software, including methods for evaluating models and ensuring durability, efficiency, and dependability.
The Association for Computing Machinery has named 72 new Fellows for their technical innovations and service to the field. The honorees represent the top 1% of professionals worldwide, with contributions in AI for healthcare, computer graphics, data management, and more.
The ACM's Technology Policy Council has issued a report on automated speech recognition (ASR) highlighting the need for rigorous audit and governance practices. The report raises concerns about technological bias, inequity, and lack of transparency in ASR systems.
The Association for Computing Machinery has named 61 new Distinguished Members, recognized for their contributions to AI for healthcare, data management, human-computer interaction, and other areas. The recipients include experts from top universities, corporations, and research institutions worldwide.
The ACM Gordon Bell Prize-winning team developed a full-physics Bayesian inversion framework called 'digital twin' to predict tsunami early warning. This approach enabled real-time, data-driven forecasting with dynamic adaptivity, achieving a ten-billion-fold speedup over existing state-of-the-art methods.
A team of researchers developed a groundbreaking Full Earth System Simulation at 1 km resolution, capturing energy, water, and carbon flow through the atmosphere, ocean, and land. This innovation has enormous potential to provide detailed global information on local scales about future warming implications.
The Association for Computing Machinery's global Technology Policy Council recommends six key pillars for successful government digital transformation, emphasizing reliability, security, and accessibility. The report aims to inform policymakers on how to modernize responsibly and sustainably.
Amarasinghe recognized for groundbreaking work in domain-specific languages and exceptional mentorship, advancing the global computing community. His contributions have successfully bridged the gap between software and hardware to fully exploit modern hardware resources.
Ana Veroneze Solórzano recognized for broadening HPC's societal impact with privacy-preserving mechanisms, while Yafan Huang advances exascale computing with ultra-fast compression algorithms. Both receive fellowships to support their research on high-performance computing applications.
The new journal aims to accelerate knowledge dissemination in AI by prioritizing theoretical breakthroughs, practical applications, and societal implications. It features short peer-reviewed contributions and opinion pieces to facilitate swift engagement with contemporary AI issues.
The Association for Computing Machinery (ACM) has announced a new open-access journal, TAISAP, focusing on AI security and privacy. The journal aims to develop methods for assessing the security of AI models, systems, and environments, including adversarial attacks, privacy concerns, and cybersecurity applications.
Ashish Sharma's dissertation developed fundamental advances in natural language processing to positively impact mental health. His AI-supported tools have been used by over 160,000 people, with more than fifty percent of users reporting a household income of less than $40,000 per year.
The Association for Computing Machinery has recognized five individuals with awards for their impactful service to the computing field. Manish Parashar received the ACM Distinguished Service Award for his leadership in furthering the transformative impact of computer science on science and engineering.
This year's ACM awards recognize groundbreaking innovations in autonomous systems, cryptography, and software for parallel computers. Peter Stone receives the Allen Newell Award for contributions to AI, while William Gropp and his team receive the Software System Award for developing MPICH.
Schmid's contributions have helped computers recognize complex objects, understand video analysis, and process realistic settings. Her leadership has built active research communities, mentoring and supervising peers across the field of computer vision.
ACM has joined India's ONOS initiative, providing 6,500 government-funded institutions with Premium Access to the ACM Digital Library. This enables authors to publish unlimited Open Access articles without APCs, increasing global visibility and reach of Indian research.
Jason Cong recognized for contributions to field-programmable system design and customizable computing, enabling efficient FPGA programming from software languages like C/C++.
Rachid Guerraoui has made groundbreaking contributions to distributed computing, shaping the landscape of concurrent environments. He also promotes computer science education in Africa, fostering academic excellence through initiatives like the Excellence in Africa program.
Torsten Hoefler's groundbreaking work on high-performance computing and AI has revolutionized the capabilities of supercomputers. His innovations include MPI-3 nonblocking collective operations, 3D parallelism, and routing protocols that power modern AI systems.
Barto and Sutton introduced the main ideas, constructed mathematical foundations, and developed algorithms for reinforcement learning, a key approach for intelligent systems. Their work has been influential in AI research, with applications in areas like robotics, network optimization, and natural language processing.
The Association for Computing Machinery's Technology Policy Council issues brief calls on policymakers and tech companies to address tech abuse in intimate partner violence, human trafficking, and child exploitation. The report highlights disturbing statistics and recommends expanding laws and regulations to protect users.
The Association for Computing Machinery (ACM) has named 56 professionals as Distinguished Members, selected by peers for significant technical achievements and volunteer service. The program recognizes up to 10% of the global ACM membership based on professional experience and impact in computing.
The Association for Computing Machinery (ACM) has named 55 Fellows for their transformative contributions to computing science and technology. The inductees represent a diverse range of fields, including cybersecurity, artificial intelligence, human-computer interaction, machine learning, and programming languages.
A team of researchers developed a new technique combining methods to simulate molecules, achieving accuracy and efficiency on the Frontier exascale supercomputer. They broke records with simulations of over one million electrons and scaled their algorithm to an EFlop/s processing quintillion calculations per second.
The winning team presented an exascale climate emulator that addresses the growing computational and storage requirements of high-resolution Earth System Models. This innovation enables more advanced climate modeling capabilities, holding significant potential for advancing climate research and policy-making.
Randles developed computational tools to harness supercomputers, creating highly precise simulations of biophysical processes. Her work has direct impacts on patient care, including simulations of 700,000 heartbeats and cancer cells moving through the body.
Communications of the ACM has been revamped as a web-first, open-access publication, enabling rapid article publication and enhanced reader experience. The new model aims to increase engagement with the broader computer science community, expand author reach, and showcase cutting-edge ideas and research.
The journal covers high-quality research and practice-driven advancements in distributed ledger technologies. Featured articles include Byzantine Fault Tolerance, incentivizing data quality, decentralized federated learning, and scalable trustworthy infrastructure.
Margaret Martonosi's work on power-aware microarchitectures and narrow bit-widths has led to new fields of research. She has authored over 175 publications, including papers on dynamic thermal management and formal control-theoretic approaches for balancing power and performance.
The ACM Conference on Human Factors in Computing Systems (CHI 2021) is being held virtually from May 8-13, with over 4,500 participants registered. The conference will feature keynote speakers, including Chieko Asakawa and Ruha Benjamin, as well as numerous workshops and accepted papers.
The Association for Computing Machinery has published the first issue of its new peer-reviewed journal, Transactions on Quantum Computing, focusing on the theory and practice of quantum computing. The journal aims to publish high-impact research papers and surveys on topics in quantum information science.
A team of researchers has introduced Deep Potential Molecular Dynamics (DPMD), a new machine learning-based protocol that can simulate over 100 million atoms per day. The protocol achieves ab initio accuracy and was recognized with the ACM Gordon Bell Prize for its achievement in high-performance computing.
A team of researchers wins an award for their AI-driven multiscale simulations that illuminate the mechanisms of SARS-CoV-2 spike dynamics. The project simulates the physical characteristics of the virus using heterogeneous HPC resources.
ESEC/FSE 2020, a leading software engineering conference, presents outstanding research results and trends in virtual format. The conference features keynote addresses on human-computer collaboration, diversity, and inclusion initiatives.
Researchers and practitioners will gather to discuss foundational challenges in data science, including prediction, inference, fairness, and ethics. The event features keynote speakers on AutoML, NLP, and machine learning in healthcare, as well as papers on algorithmic fairness and ecosystem forecasting.
The inaugural ACM International Conference on AI in Finance (ICAIF) will explore how artificial intelligence is transforming the finance industry. The conference features a dynamic program of work from top researchers, including papers on machine learning methods to detect money laundering and algorithms in future capital markets.