Fluid thinking about collective intelligence

Malone, T. W. & Bernstein, M. S. (eds) Handbook of Collective Intelligence (MIT Press, 2022). Flack, J., Ipeirotis, P., Malone, T. W., Mulgan, G. & Page, S. E. Editorial to the inaugural issue of Collective Intelligence. Collect. Intell. 1, 26339137221114179 (2022). Article  Google Scholar  Yang, X.-S., Cui, Z., Xiao, R., Gandomi, A. H. & Karamanoglu, […]

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Using the latest AI tools in humanitarian aid — IR Insider

In April 2017, Deputy Secretary of Defense Bob Work established the Algorithmic Warfare Cross-Functional Team. project mavenan initiative aimed at integrating artificial intelligence (AI) and machine learning into military intelligence and combat operations. 2017 was a significant turning point for AI technology, defined as the transition period from early development to large-scale integration. Project Maven […]

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DeepSeek’s new model significantly reduces inference costs • The Register

Chinese AI darling DeepSeek is back with a new openweight large-scale language model that promises performance comparable to the best proprietary LLMs in the US. Perhaps more importantly, it claims to significantly reduce inference costs and expands support for Huawei’s Ascend family of AI accelerators. Announced Friday, DeepSeek V4 is available for download from popular […]

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Programmable RNA translation by IRES discovery and new generation using deep learning

Komar, AA & Hatzoglou, M. Exploring internal ribosome entry sites as therapeutic targets. front. Oncor. 5233 (2015). Article Google Scholar Martinand-Mari, C., Lebleu, B. & Robbins, I. Oligonucleotide-based strategies to inhibit human hepatitis C virus. oligonucleotide 13539–548 (2003). Article Google Scholar Nulf, CJ & Corey, D. Intracellular inhibition of hepatitis C virus (HCV) internal ribosome […]

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Real-time fraud detection at Coinbase

Gain faster insights at a fraction of the cost Since introducing RTM, Coinbase has improved its ability to mitigate fraud by ensuring its risk models operate on the most up-to-date transaction data. Latency was reduced to sub-second freshness, achieving 150 ms for aggregated stateless streaming features and 250 ms for aggregated stateful streaming features. Consistency […]

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Federated Learning without Refactoring Overhead with NVIDIA FLARE

Federated learning (FL) is no longer a research curiosity. This is a practical response to the severe constraint that most valuable data cannot be moved. Regulatory boundaries, data sovereignty rules, and organizational risk tolerance routinely prevent centralized aggregation. On the other hand, sheer data gravity makes even permitted transfers slow, expensive, and vulnerable at scale. […]

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Deep Learning in Machine Vision Market Insights 2026 |

Deep learning in the machine vision market According to a newly released report by QY Research, the global deep learning in machine vision market in 2026 will provide comprehensive, data-driven analysis aimed at enhancing business decisions and unlocking high-growth opportunities across industries. This research provides deep insights into market dynamics, competitive environment, and future growth […]

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Applied Statistics and Machine Learning courses provide students with hands-on experience using the latest AI tools

Carson Easterling plans to specialize in control theory when he enters graduate school at Auburn University this fall, but he needed more preparation. Applied Statistics and Machine Learning (ELEC 5970 6970 600) is an interdisciplinary course in the Department of Electrical and Computer Engineering that introduces students to basic and advanced machine learning tools through […]

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