March 2026

How Reco transforms security alerts using Amazon Bedrock

How Reco transforms security alerts using Amazon Bedrock

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This post is cowritten by Tal Shapira and Tamir Friedman from Reco. Reco helps organizations strengthen the security of their software as a service (SaaS) applications and accelerate business without compromise. Using Anthropic Claude in Amazon Bedrock, Reco tackles the challenge of machine-readable security alerts that SOC teams struggle to quickly interpret. This implementation helps transform raw alerts into intuitive, human-readable insights, optimizing security operations with AI-powered analytics that help enhance threat detection, streamline alert processing, and provide […]

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Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure

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Autonomous agents operating in continuous environments must decide not only what to do, but when to act. We introduce a lightweight adaptive temporal control system that learns the optimal interval between cognitive ticks from experience, replacing ad hoc biologically inspired timers with a principled learned policy. The policy state is augmented with a predictive hyperbolic spread signal (a "curvature signal" shorthand) derived from hyperbolic geometry: the mean pairwise Poincare distance among n sampled futures embedded in the Poincare […]

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Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure

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Autonomous agents operating in continuous environments must decide not only what to do, but when to act. We introduce a lightweight adaptive temporal control system that learns the optimal interval between cognitive ticks from experience, replacing ad hoc biologically inspired timers with a principled learned policy. The policy state is augmented with a predictive hyperbolic spread signal (a "curvature signal" shorthand) derived from hyperbolic geometry: the mean pairwise Poincare distance among n sampled futures embedded in the Poincare […]

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Integrating Amazon Bedrock AgentCore with Slack

Integrating Amazon Bedrock AgentCore with Slack

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Integrating Amazon Bedrock AgentCore with Slack brings AI agents directly into your workspace. Your teams can interact with agents without jumping between applications, losing conversation history, or re-authenticating. The integration handles three technical requirements: validating Slack event requests for security, maintaining conversation context across threads, and managing responses that exceed Slack’s timeout limits. Developers typically spend time building custom webhook handlers for Slack integrations. AgentCore helps remove this work by providing built-in conversation memory, secure access to agents […]

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Overcoming LLM hallucinations in regulated industries: Artificial Genius’s deterministic models on Amazon Nova

Overcoming LLM hallucinations in regulated industries: Artificial Genius’s deterministic models on Amazon Nova

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This post is cowritten by Paul Burchard and Igor Halperin from Artificial Genius. The proliferation of large language models (LLMs) presents a significant paradox for highly regulated industries like financial services and healthcare. The ability of these models to process complex, unstructured information offers transformative potential for analytics, compliance, and risk management. However, their inherent probabilistic nature leads to hallucinations, plausible but factually incorrect information. In sectors governed by stringent requirements for auditability and accuracy, the non-deterministic behavior […]

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Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes

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The development of machine learning interatomic potentials faces a critical computational bottleneck with the generation and labeling of useful training datasets. We present a novel application of determinantal point processes (DPPs) to the task of selecting informative subsets of atomic configurations to label with reference energies and forces from costly quantum mechanical methods. Through experiments with hafnium oxide data, we show that DPPs are competitive with existing approaches to constructing compact but diverse training sets by utilizing kernels […]

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Global Blockchain Show Riyadh Unveils World-Class Speakers Redefining the Future of Web3 and Digital Assets

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Riyadh, Saudi Arabia, will host the Global Blockchain Show on June 29 and 30, 2026. The show will bring together some of the world’s most influential and widely recognized voices shaping blockchain, Web3, and the global digital assets ecosystem. The Global Blockchain Show is produced by VAP Group with support from The Times of Blockchain and represents the world’s foremost Global Blockchain Show, highlighting blockchain innovation, investment, and collaboration among industry leaders in both blockchain and Web3. The […]

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Global Games Show Riyadh Unveils Star-Studded Speaker Lineup of Gaming Legends and Industry Leaders

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Riyadh, Saudi Arabia- The Global Games Show Riyadh is featuring an exciting line-up of esports personalities, gaming innovators, and expert shakers from the industry at the upcoming event, solidifying the city’s place on the international stage as a gaming, esports, and interactive entertainment destination. These industry leaders will discuss the future of esports, providing insight into game development, content creation, and digital entertainment through keynote addresses, fireside chats, and panel discussions, all while showcasing Saudi Arabia’s rapidly developing […]

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A bit of good news: It's possible to turn around a groundwater crisis

A bit of good news: It’s possible to turn around a groundwater crisis

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Generally, when you hear “water use” and “sustainability,” you expect those words to be followed by some bad news. Humanity’s enduring ability to ignore the math of declining water supplies is almost impressive. But there are cases where actions have successfully reversed our loss of water resources. A new paper in Science by Scott Jasechko of the University of California, Santa Barbara, examines documented cases of groundwater recovery around the world to identify which strategies have worked. Groundwater […]

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MIHT: A Hoeffding Tree for Time Series Classification using Multiple Instance Learning

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Due to the prevalence of temporal data and its inherent dependencies in many real-world problems, time series classification is of paramount importance in various domains. However, existing models often struggle with series of variable length or high dimensionality. This paper introduces the MIHT (Multi-instance Hoeffding Tree) algorithm, an efficient model that uses multi-instance learning to classify multivariate and variable-length time series while providing interpretable results. The algorithm uses a novel representation of time series as "bags of subseries," […]

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