Encryption algorithm.This computing algorithm transforms data according to specified actions to protect it. A symmetrickeyalgorithm, such as theData Encryption Standard, for example, uses the same key to encrypt and decrypt data. If the algorithm is sufficiently sophisticated, no one lacking the key ...
With data showing increasing efficiency, productivity, and convenience, there is no slowing down. The diversity of AI workloads across industries, including generative artificial intelligence, large language models, and scientific computing, underscores the critical role of AI hypercomputing in efficiently ...
AI is currently theoretical and no known AI systems approach this level of sophistication. Researchers argue that if AGI is even possible, it requires major increases in computing power. Despite recent advances in AI development, self-aware AI systems of science fiction remain firmly in that realm...
AI can be used to monitor equipment and predict when failures are likely to occur. This allows businesses to take proactive steps to prevent downtime and costly repairs. This application is particularly valuable in industries like manufacturing and transportation, where equipment failures can be disrup...
AI is currently theoretical and no known AI systems approach this level of sophistication. Researchers argue that if AGI is even possible, it requires major increases in computing power. Despite recent advances in AI development, self-aware AI systems of science fiction remain firmly in that realm...
This paper argues that the terms ‘Sustainable artificial intelligence (AI)’ in general and ‘Sustainability of AI’ in particular are overused to the extent that they have lost their meaning. The AI for (social) good movement is a manifestation of this trend in which almost any application ...
Making matters more complicated, new approachesexemplified in DeepSeek's R1 modelsuggest that farlesscomputing is required to train new foundation models -- a finding that, following the model's January 2025 release, triggered a massive sell-off of shares in Nvidia and other AI-related tech ...
The widespread accessibility of AI is partly due to cloud computing and open-source software, which have lowered the barriers to entry for using many of these technologies. Today's AI is not just about automating routine tasks; it's about augmenting human capabilities and creating new opportunitie...
The Turing test is arguably one of the pillars of AI. Initially referred to as the Imitation Game5inComputing Machinery and Intelligence, it is a means of determining whether a computer (or any machine) is intelligent and can think.
Amazon Web Servicesexemplifies this approach, transforming computing infrastructure into on-demand services. Theirinnovative revenue modelsgenerate billions by eliminating customer capital expenditures in favor of operational expenses. Data-driven monetization strategies create value from information byproducts. Com...