How Endava builds an agentic organization with Codex
Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours.
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Quiz: BNF Notation: Dive Deeper Into Python’s Grammar
In this quiz, you’ll test your understanding of BNF Notation: Dive Deeper Into Python’s Grammar. By working through this quiz, you’ll revisit how to read Python’s grammar rules, recognize terminals and nonterminals, and interpret the BNF fragments that appear throughout the official documentation. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]
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YOLO11-LREP: A Lightweight Detection Method for Water-Surface Floating Objects on Inland Waterways Under Low-Light and Reflection Interference
Reliable visual detection of small floating objects on the water surface is a prerequisite for environmental monitoring and clean-up tasks performed by unmanned surface vehicles (USVs) on inland waterways. Such scenes are routinely degraded by low illumination at dawn and dusk, strong specular reflections, ripple-induced clutter, and large object-scale variations, which together cause missed detections, false alarms, and unstable localization. This paper proposes YOLO11-LREP, a lightweight detection framework built upon YOLO11n and tailored for water-surface floating-object recognition under […]
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A Unified Benchmark of Machine Learning and Deep Neural Networks for Tennis Match Prediction
Tennis match prediction has been studied extensively, yet the literature offers no controlled comparison of Elo ratings, classical machine learning, and deep neural networks under identical experimental conditions, leaving practitioners without clear guidance on model selection. We address this gap with a unified empirical study on 133,138 professional men’s tennis matches from the Association of Tennis Professionals tour (1968–2024). Four approaches are evaluated on the same temporally split data with a common 16-feature set and an aligned evaluation […]
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How flat is replacing fat in AWS data center networks
Routing in today’s data centers is usually governed by a data structure called a “fat tree”, which is similar to a corporate organizational chart, with nodes in each layer connecting to multiple nodes in the layer below. Here, however, the nodes of the bottom layer represent routers that want to send messages to each other, and the layers above them contain extra routers that simplify the routing procedure. A message sent by one bottom-layer router climbs the tree […]
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NBA plans AI system for automatic out-of-bounds calls
NBA Commissioner Adam Silver said the league plans to introduce an automated system for certain officiating decisions, including out-of-bounds calls. The system would use AI and cameras placed around the court to determine possession. Silver compared the approach to Hawk-Eye, the tracking technology used for line calls in tennis. Disputed call preceded Silver’s comments Silver’s appearance came after a disputed call in Game 5 of the Western Conference finals between the Oklahoma City Thunder and San Antonio Spurs. […]
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A Survey on Foundation Models for Structured Data: Tabular, Time Series, and Graphs
Foundation models have emerged as a dominant paradigm in machine learning, enabling broad generalization and efficient adaptation across diverse tasks and domains. While this paradigm has achieved remarkable success in language and vision data, its extension to structured data remains far less understood. Foundation models for structured data are an emerging yet highly impactful research area with a rapidly growing body of literature. In this survey, we provide a systematic analysis of foundation models for structured data, focusing […]
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The Email Problem That Kills M&A Deals Is Not the One Anyone Is Watching
Every M&A deal has a moment where someone realizes the integration plan was missing something obvious, and that moment almost always arrives after the deal has closed, the timeline is fixed, and the budget has been spent on everything else. That something is usually email, and it is usually a disaster. This is not a prediction. It is a pattern that plays out reliably enough that it should be embarrassing for an industry that spends billions on due […]
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A world model for proteins is here
Read Online | Sign Up | Advertise Good morning, {{ first_name | AI enthusiasts }}. Demis Hassabis told us AI can cut drug discovery from years to months…and the industry is already showing signs. Today, Biohub, the nonprofit backed by Mark Zuckerberg and Priscilla Chan’s CZI, dropped a “world model of protein biology,” setting a much-needed open foundation for molecular tools that can prevent or cure diseases. P.S. Our next live workshop, ‘Claude Co-Work: With More Power Comes […]
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Rethinking Kleppmann’s “Designing Data-Intensive Applications”
How Martin Kleppmann’s iconic book evolved for AI and cloud-native architectures Since its release in 2017, Designing Data-Intensive Applications (DDIA) has become known as the bible for anyone working on large-scale, data-driven systems. The book’s focus on fundamentals (like storage engines, replication, and partitioning) has helped it age well. Still, the world of distributed systems has evolved substantially in the past decade. Cloud-native architectures are now the default. Object storage has become a first-class building block. Databases increasingly run everywhere […]
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