MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even SmarterTowards Data Science MobileNetV3 with PyTorch — now featuring SE blocks and hard activation functions
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MobileNetV3 with PyTorch — now featuring SE blocks and hard activation functions
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Comparing the Top 6 OCR (Optical Character Recognition) Models/Systems in 2025MarkTechPost Optical character recognition has moved from plain text extraction to document intelligence. Modern systems must read scanned and digital PDFs in one pass, preserve layout, detect tables, extract key value pairs, and work with more than one language. Many teams now also want OCR that can feed RAG and agent pipelines directly. In 2025, 6
The post Comparing the Top 6 OCR (Optical Character Recognition) Models/Systems in 2025 appeared first on MarkTechPost.
Optical character recognition has moved from plain text extraction to document intelligence. Modern systems must read scanned and digital PDFs in one pass, preserve layout, detect tables, extract key value pairs, and work with more than one language. Many teams now also want OCR that can feed RAG and agent pipelines directly. In 2025, 6
The post Comparing the Top 6 OCR (Optical Character Recognition) Models/Systems in 2025 appeared first on MarkTechPost. Read More
From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data CentersTowards Data Science From ARIMA to N-BEATS: Comparing forecasting approaches that balance accuracy, interpretability, and sustainability
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From ARIMA to N-BEATS: Comparing forecasting approaches that balance accuracy, interpretability, and sustainability
The post From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers appeared first on Towards Data Science. Read More
A Coding Implementation of a Comprehensive Enterprise AI Benchmarking Framework to Evaluate Rule-Based LLM, and Hybrid Agentic AI Systems Across Real-World TasksMarkTechPost In this tutorial, we develop a comprehensive benchmarking framework to evaluate various types of agentic AI systems on real-world enterprise software tasks. We design a suite of diverse challenges, from data transformation and API integration to workflow automation and performance optimization, and assess how various agents, including rule-based, LLM-powered, and hybrid ones, perform across these
The post A Coding Implementation of a Comprehensive Enterprise AI Benchmarking Framework to Evaluate Rule-Based LLM, and Hybrid Agentic AI Systems Across Real-World Tasks appeared first on MarkTechPost.
In this tutorial, we develop a comprehensive benchmarking framework to evaluate various types of agentic AI systems on real-world enterprise software tasks. We design a suite of diverse challenges, from data transformation and API integration to workflow automation and performance optimization, and assess how various agents, including rule-based, LLM-powered, and hybrid ones, perform across these
The post A Coding Implementation of a Comprehensive Enterprise AI Benchmarking Framework to Evaluate Rule-Based LLM, and Hybrid Agentic AI Systems Across Real-World Tasks appeared first on MarkTechPost. Read More
How to Create AI-ready APIs?MarkTechPost Postman recently released a comprehensive checklist and developer guide for building AI-ready APIs, highlighting a simple truth: even the most powerful AI models are only as good as the data they receive—and that data comes through your APIs. If your endpoints are inconsistent, unclear, or unreliable, models waste time fixing bad inputs instead of producing
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Postman recently released a comprehensive checklist and developer guide for building AI-ready APIs, highlighting a simple truth: even the most powerful AI models are only as good as the data they receive—and that data comes through your APIs. If your endpoints are inconsistent, unclear, or unreliable, models waste time fixing bad inputs instead of producing
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LongCat-Flash-Omni: A SOTA Open-Source Omni-Modal Model with 560B Parameters with 27B activated, Excelling at Real-Time Audio-Visual InteractionMarkTechPost How do you design a single model that can listen, see, read and respond in real time across text, image, video and audio without losing the efficiency? Meituan’s LongCat team has released LongCat Flash Omni, an open source omni modal model with 560 billion parameters and about 27 billion active per token, built on the
The post LongCat-Flash-Omni: A SOTA Open-Source Omni-Modal Model with 560B Parameters with 27B activated, Excelling at Real-Time Audio-Visual Interaction appeared first on MarkTechPost.
How do you design a single model that can listen, see, read and respond in real time across text, image, video and audio without losing the efficiency? Meituan’s LongCat team has released LongCat Flash Omni, an open source omni modal model with 560 billion parameters and about 27 billion active per token, built on the
The post LongCat-Flash-Omni: A SOTA Open-Source Omni-Modal Model with 560B Parameters with 27B activated, Excelling at Real-Time Audio-Visual Interaction appeared first on MarkTechPost. Read More
DeepAgent: A Deep Reasoning AI Agent that Performs Autonomous Thinking, Tool Discovery, and Action Execution within a Single Reasoning ProcessMarkTechPost Most agent frameworks still run a predefined Reason, Act, Observe loop, so the agent can only use the tools that are injected in the prompt. This works for small tasks, but it fails when the toolset is large, when the task is long, and when the agent must change strategy in the middle of reasoning.
The post DeepAgent: A Deep Reasoning AI Agent that Performs Autonomous Thinking, Tool Discovery, and Action Execution within a Single Reasoning Process appeared first on MarkTechPost.
Most agent frameworks still run a predefined Reason, Act, Observe loop, so the agent can only use the tools that are injected in the prompt. This works for small tasks, but it fails when the toolset is large, when the task is long, and when the agent must change strategy in the middle of reasoning.
The post DeepAgent: A Deep Reasoning AI Agent that Performs Autonomous Thinking, Tool Discovery, and Action Execution within a Single Reasoning Process appeared first on MarkTechPost. Read More
The Pearson Correlation Coefficient, Explained SimplyTowards Data Science A simple explanation of the Pearson correlation coefficient with examples
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A simple explanation of the Pearson correlation coefficient with examples
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Too much screen time may be hurting kids’ heartsArtificial Intelligence News — ScienceDaily More screen time among children and teens is linked to higher risks of heart and metabolic problems, particularly when combined with insufficient sleep. Danish researchers discovered a measurable rise in cardiometabolic risk scores and a metabolic “fingerprint” in frequent screen users. Experts say better sleep and balanced daily routines can help offset these effects and safeguard lifelong health.
More screen time among children and teens is linked to higher risks of heart and metabolic problems, particularly when combined with insufficient sleep. Danish researchers discovered a measurable rise in cardiometabolic risk scores and a metabolic “fingerprint” in frequent screen users. Experts say better sleep and balanced daily routines can help offset these effects and safeguard lifelong health. Read More
Anthropic’s New Research Shows Claude can Detect Injected Concepts, but only in Controlled LayersMarkTechPost How do you tell whether a model is actually noticing its own internal state instead of just repeating what training data said about thinking? In a latest Anthropic’s research study ‘Emergent Introspective Awareness in Large Language Models‘ asks whether current Claude models can do more than talk about their abilities, it asks whether they can
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How do you tell whether a model is actually noticing its own internal state instead of just repeating what training data said about thinking? In a latest Anthropic’s research study ‘Emergent Introspective Awareness in Large Language Models‘ asks whether current Claude models can do more than talk about their abilities, it asks whether they can
The post Anthropic’s New Research Shows Claude can Detect Injected Concepts, but only in Controlled Layers appeared first on MarkTechPost. Read More