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What is the NOVA food classification system? An explainer

The NOVA food classification system is shaping the new U.S. Dietary Guidelines. Learn what it is, how it works, and how to use it to identify ultra-processed foods.
GitHub

NOVIC: Unconstrained Open Vocabulary Image Classification

💡 TL;DR: Given an image and nothing else (i.e. no prompts or candidate labels), NOVIC can generate an accurate fine-grained textual classification label in real-time, with coverage of the vast ...
CNN

Text messages and a moved SUV: How the government’s case against a Chicago woman shot by a Border Patrol agent fell apart

Even with a federal indictment hanging over her, claiming she had been a threat to law enforcement, Marimar Martinez was confident she could eventually prove her innocence. “I know the truth,” ...
IEEE

TeDFL: Toward Text-Driven Few-Shot Learning for Forest Tree Species Classification With Airborne Hyperspectral Images

Abstract: Tree species classification is fundamental for forest inventory and sustainable silviculture. Airborne hyperspectral images (HSIs) can capture subtle spectral differences between tree ...
Bleeping Computer

Fake 'Inflation Refund' texts target New Yorkers in new scam

An ongoing smishing campaign is targeting New Yorkers with text messages posing as the Department of Taxation and Finance, claiming to offer "Inflation Refunds" in an attempt to steal victims' ...
Scientific Research Publishing

Layer Cake: On Language Representation and Compute Characteristics in Text Classification ()

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.
GitHub

Small Language Model Inference, Fine-Tuning and Observability. No GPU, no labeled data needed.

At this time, we support 10 models, all of which can be used out-of-the-box on CPU and can be fine-tuned on CPU. Task Description Default Model Size Code Examples Text Classification Classifies text ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
marktechpost

LangGraph Tutorial: A Step-by-Step Guide to Creating a Text Analysis Pipeline

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...
Reuters

IPO duo lay out textbook examples of buyout bind

NEW YORK, July 25 (Reuters Breakingviews) - Buyout shops learned some hard lessons this week. The initial public offerings for educational publisher McGraw Hill (MH.N), opens new tab and market ...
Frontiers

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...