communications
From University Research to Global Impact
Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. In an era defined by rapid technological advancement, particularly in fields such as artificial intelligence (AI), there is a growing discourse surrounding the pivotal role of academia and the impact of federal funding on innovation. The following conversation sheds light on an often-underdiscussed facet of this relationship: the profound influence of academic research on the formation and continued success of large technology companies such as Google. The participants include Magda Balazińska (MB) and three senior Google engineers--Urs Hölzle (UH), Jeff Dean (JD), and Parthasarathy Ranganathan (PR)--who collectively have more than a century of experience spanning both academia and industry, and between them represent different disciplines across the computing stack (distributed systems, AI, hardware). The discussion delves into the foundational role of academia in Google's inception, the long-term impact of federally funded research, the stories behind key innovations, and the grand challenges that lie ahead for academic research.
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Computing in the Arab World: Innovations, Challenges, and Advances amidst a Rich Mosaic of Scientific Activity
Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. The Regional Special Section of the Arab World highlights some of the region's exciting, innovative, and socially relevant advances in computing and its applications. It is with great pleasure that we present this Communications of the ACM Regional Special Section of the Arab World. In this second edition, we highlight some of the region's exciting, innovative, and socially relevant advances in computing and its applications. The Arab world is home to a rich mosaic of cultures, histories, and geographies, stretching from the Atlantic Ocean to the Gulf.
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Technical Perspective: Where Is My Data?
Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Technical Perspective: Where Is My Data? Smash: Flexible, Fast, and Resource-Efficient Placement and Lookup of Distributed Storage, by Yi Liu et al., introduces a storage system that is the first of its kind to apply minimal perfect hashing (MPH) to storage research. When making a storage system distributed across many machines, designers are faced with a critical question: Where is my data? At the heart of every storage system is a mechanism for determining where to find data based on an identifier.
Aerial Solutions for Supporting Large-Scale Events: A Case Study of the Hajj Pilgrimage
Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Networked tethered flying platforms' superior monitoring coverage compared to ground-based cameras make them well-suited for surveillance and long-range detection. Large-scale events, such as the Hajj, constitute complex logistical events that attract approximately two to three million pilgrims annually to Makkah, Saudi Arabia. The immense scale of these gatherings presents significant challenges related to crowd management, infrastructure, public safety, and connectivity which can adversely impact both the pilgrimage experience and their well-being. The Hajj presents significant challenges in mobility, security, and connectivity, impacting the pilgrimage experience and requiring improved solutions.
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How Generative Models Are Ruining Themselves
Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Generative AI models are trying to depict reality, but instead embed glitches from their own inherited content. I argue that with the increased use of generative AI, there will be a decrease in the quality of the generated content because this generated content will be more and more based on artificial and general data. For instance, automatically generating a new picture will be based on original images authentically generated by persons (such as photographers) plus machine-generated images; however, the latter are not as good as the former in terms of details like contrast and edges. Besides, AI-generated text will be based on original creative content by real persons'plus' machine-generated text, where the latter might be repetitive and standard.
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Can AI Expand the Human Mind?
Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Can AI Expand the Human Mind? LLMs could represent a new layer of human cognition, which researchers call'System 0.' Giuseppe Riva first started to think about the role that artificial intelligence (AI) can play in human cognition when he and a colleague were trying to find someplace to have dinner in Los Angeles. Both pulled out their phones and started perusing Google Maps for suggestions of nearby restaurants. Riva quickly noticed that the list of possibilities on his phone was very different from what his companion was seeing.
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Federal Research Investment and Innovation in Information Technology: A Virtuous Cycle
Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Federal investment in research has consistently served as the bedrock of American innovation, driving scientific breakthroughs, fostering economic growth, and enhancing national security. This is particularly evident in the field of computing, where foundational government funding has translated into transformative technologies and the rise of entirely new industries. Far from being a drain on public resources, these strategic investments act as a powerful catalyst, creating a virtuous cycle of discovery, application, and prosperity. One of the most compelling arguments for federal research funding lies in its ability to support basic, high-risk, long-term research the private sector is often unwilling or unable to undertake.
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Unlocking the Potential of Arabic Voice-Generation Technologies
Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Addressing linguistic complexities, the scarcity of high-quality datasets, and other challenges is crucial for advancing Arabic text-to-speech technology. Voice-generation technology enables machines to synthesize human-like speech--text-to-speech (TTS)--revolutionizing digital communication by fostering more inclusive and accessible experiences. What began as simple robotic speech synthesis has evolved into highly sophisticated voice-cloning systems that can produce natural, coherent, expressive, and personalized voices using minimal data. These technologies empower individuals with cross-lingual communication through virtual agents, assist in overcoming visual or speech impairments or literacy challenges via assistive tools, and support educators and industries such as entertainment with creative content generation.
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Language Models Wrestle with Gaps in Understanding
Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Language models seem to be more than stochastic parrots. Does this knowledge stop them from making mistakes, or do they need more help? If you want a job done well, you are probably better off not using a language model to do it. Thanks to the internal connections they create from terabytes of data ingested during pretraining, they produce results that can seem like rudimentary reasoning.
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