Evaluating OCR-to-Markdown Systems Is Fundamentally Broken (and Why That’s Hard to Fix)

NanonetsJanuary 20, 202616Views 0Likes 0Comments

Evaluating OCR systems that convert PDFs or document images into Markdown is far more complex than it appears. Unlike plain text OCR, OCR-to-Markdown requires models to recover content, layout, reading order, and representation choices simultaneously. Today’s benchmarks attempt to score this with a mix of string matching, heuristic alignment, and format-specific rules—but in practice, these…

3 Hyperparameter Tuning Techniques That Go Beyond Grid Search

Data AnalyticsJanuary 20, 202624Views 0Likes 0Comments

Image by Author # Introduction When building machine learning models with moderate to high complexity, there is an ample range of model parameters that are not learned from data, but instead must be set by us a priori: these are known as hyperparameters. Models like random forest ensembles and neural networks have a…

Black Forest Labs Releases FLUX.2 [klein]: Compact Flow Models for Interactive Visual Intelligence

AI NewsJanuary 20, 202672Views 0Likes 0Comments

Black Forest Labs releases FLUX.2 [klein], a compact image model family that targets interactive visual intelligence on consumer hardware. FLUX.2 [klein] extends the FLUX.2 line with sub second generation and editing, a unified architecture for text to image and image to image, and deployment options that range from local GPUs to cloud APIs, while keeping…

New video generation model updates

OpenAIJanuary 20, 202618Views 0Likes 0Comments

Today, Veo is getting more expressive, with improvements that help you create more fun, creative, high-quality videos based on ingredient images, built directly for the mobile format. We’re excited to bring new creative possibilities for everyone from casual storytellers to professional filmmakers. We’re releasing: Improvements to Veo 3.1 Ingredients to Video, our capability that lets…

Google DeepMind Introduces SIMA 2, A Gemini Powered Generalist Agent For Complex 3D Virtual Worlds

RoboticsJanuary 20, 202624Views 0Likes 0Comments

Google DeepMind has released SIMA 2 to test how far generalist embodied agents can go inside complex 3D game worlds. SIMA’s (Scalable Instructable Multiworld Agent) new version upgrades the original instruction follower into a Gemini driven system that reasons about goals, explains its plans, and improves from self play in many different environments. From…

When Algorithms Dream of Photons: Can AI Redefine Reality Like Einstein? | by Manik Soni | Jan, 2025

Human AiFebruary 10, 202520Views 0Likes 0Comments

In 1905, Albert Einstein published a paper on the photoelectric effect — a deceptively simple observation that light could eject electrons from metals. This work, which later won him the Nobel Prize, didn’t just explain an oddity in physics. It shattered classical mechanics, birthing quantum theory and reshaping our understanding of reality. But here’s a…

This AI Paper Introduces MAETok: A Masked Autoencoder-Based Tokenizer for Efficient Diffusion Models

AI NewsFebruary 10, 202518Views 0Likes 0Comments

Diffusion models generate images by progressively refining noise into structured representations. However, the computational cost associated with these models remains a key challenge, particularly when operating directly on high-dimensional pixel data. Researchers have been investigating ways to optimize latent space representations to improve efficiency without compromising image quality. A critical problem in diffusion models is…

2.0 Flash, Flash-Lite, Pro Experimental

OpenAIFebruary 10, 202517Views 0Likes 0Comments

In December, we kicked off the agentic era by releasing an experimental version of Gemini 2.0 Flash — our highly efficient workhorse model for developers with low latency and enhanced performance. Earlier this year, we updated 2.0 Flash Thinking Experimental in Google AI Studio, which improved its performance by combining Flash’s speed with the ability…

π0 Released and Open Sourced: A General-Purpose Robotic Foundation Model that could be Fine-Tuned to a Diverse Range of Tasks

RoboticsFebruary 10, 202563Views 0Likes 0Comments

Robots are usually unsuitable for altering different tasks and environments. General-purpose models of robots are devised to circumvent this problem. They allow fine-tuning these general-purpose models for a wide scope of robotic tasks. However, it is challenging to maintain the consistency of shared open resources across various platforms. Success in real-world environments is far from…

The Gamma Hurdle Distribution | Towards Data Science

Data ScienceFebruary 10, 202520Views 0Likes 0Comments

Which Outcome Matters? Here is a common scenario : An A/B test was conducted, where a random sample of units (e.g. customers) were selected for a campaign and they received Treatment A. Another sample was selected to receive Treatment B. “A” could be a communication or offer and “B” could be no communication or no…

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