Where wild things roam: Identifying wildlife with SpeciesNet
Climate & Sustainability
Climate & Sustainability
Google expanded its Gemini model family with the release of Gemini Embedding 2. This second-generation model succeeds the text-only gemini-embedding-001 and is designed specifically to address the high-dimensional storage and cross-modal retrieval challenges faced by AI developers building production-grade Retrieval-Augmented Generation (RAG) systems. The Gemini Embedding 2 release marks a significant technical shift in how…
The landscape of Text-to-Speech (TTS) is moving away from modular pipelines toward integrated Large Audio Models (LAMs). Fish Audio’s release of S2-Pro, the flagship model within the Fish Speech ecosystem, represents a shift toward open architectures capable of high-fidelity, multi-speaker synthesis with sub-150ms latency. The release provides a framework for zero-shot voice cloning and granular…
In this tutorial, we build a Meta-Agent that designs other agents automatically from a simple task description. We implement a system that analyzes the task, selects tools, chooses a memory architecture, configures a planner, and then instantiates a fully working agent runtime. We go beyond static agent templates and instead build a dynamic, self-configuring architecture…
The race to build autonomous AI agents has hit a massive bottleneck: data. While frontier models like Claude Code and Codex CLI have demonstrated impressive proficiency in terminal environments, the training strategies and data mixtures behind them have remained closely guarded secrets. This lack of transparency has forced researchers and devs into a costly cycle…
Survey of 650 global IT and security leaders reveals that fewer than one-quarter of companies test disaster recovery every six months, and 24 percent never test their plans at all Quest Software, a global leader in data management, cybersecurity, and platform modernization, today released findings from its annual global security survey examining how organizations approach…
UNISYST MRAM unifies code storage and data memory in a high-density, non-volatile architecture for edge AI, industrial and mission-critical designs Everspin Technologies, Inc. (NASDAQ: MRAM), the world’s leading developer and manufacturer of magnetoresistive random access memory (MRAM) persistent memory solutions, today announced the UNISYST MRAM family, a new generation of unified memory designed to fundamentally change how…
In this tutorial, we build an advanced agent system that goes beyond simple response generation by integrating an internal critic and uncertainty estimation framework. We simulate multi-sample inference, evaluate candidate responses across accuracy, coherence, and safety dimensions, and quantify predictive uncertainty using entropy, variance, and consistency measures. We implement risk-sensitive selection strategies to balance confidence…
An independent orchestration layer enabling enterprises to build, deploy, and govern AI systems at scale for the world’s leading companies Introducing three first-to-market products: a business-friendly AI agent generator, systems of agents that run entire business lines, and cross-platform observability to track the business outcomes agents produce Dataiku today announced the launch of the Platform for AI…