Perplexity Computer orchestrates 19 AI models and 400+ tools, but its middleware position leaves it exposed to hyperscaler consolidation.
Introduction Climate-sensitive mortality in rapidly urbanising tropical Africa is poorly characterised, and how pandemics disrupt established seasonal patterns remains underexplored. We analysed ...
Dexterity.ai, the leader in industrial robotics and Physical AI, today detailed how its production-proven world model, Foresight, is unlocking new levels of performance on NVIDIA hardware as the ...
The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
New framework combines Copilot, Claude, ChatGPT, Gemini, Perplexity, and multi-model LLMs to transform Power BI and ...
The insurance industry has always depended on history. Actuaries study past losses, build models, price risk, and quantify ...
Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
Z.ai says GLM-5-Turbo is currently closed-source, but it also says the model’s capabilities and findings will be folded into its next open-source model release ...
New architecture integrates Copilot, Azure OpenAI, Claude, and Perplexity to transform Microsoft Power BI into an ...
The 120B parameter model aims to improve compute efficiency and accuracy for complex multi-agent workloads such as software development and cybersecurity triage.
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Appier unveils risk aware decision framework for agentic AI
SINGAPORE, March 11, 2026 /PRNewswire/ -- Appier today announced new research advancing the reliability of Agentic AI systems. To expand the impact of its research and development efforts, Appier's AI ...
The application that inspires this work is the percussion drilling. This problem has impacts and presents uncertainties. In this first analysis the focus is on the construction of an efficient reduced ...
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