Reuters

Exclusive: China's DeepSeek trained AI model on Nvidia's best chip despite US ban, official says

WASHINGTON, Feb 23 (Reuters) - Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's (NVDA.O), opens new tab most advanced AI chip, the ...
marktechpost

A Coding Implementation to Build Bulletproof Agentic Workflows with PydanticAI Using Strict Schemas, Tool Injection, and Model-Agnostic Execution

In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define ...
GitHub

Hierarchical Deep Temporal Models for Group Activity Recognition

A PyTorch implementation of "Hierarchical Deep Temporal Models for Group Activity Recognition" (CVPR 2016). This repository reproduces and extends the baselines described in the paper and provides ...
IEEE

Development of a Long Short-Term Memory (LSTM)-Based Statistical Model for Earthquake Forecasting in Central Asia

Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
EurekAlert!

Model-based control of a continuum manipulator with online Jacobian error compensation using Kalman filtering

(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...
CNET

Apple to Reportedly Pay Google $1 Billion a Year for Siri's Custom Gemini AI Model

Imad was a senior reporter covering Google and internet culture. Hailing from Texas, Imad started his journalism career in 2013 and has amassed bylines with The New York Times, The Washington Post, ...
EurekAlert!

Massively parallel implementation of nonlinear functions using an optical processor

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...
Medicine Buffalo

Identifying and Using Implementation Strategies to Address Barriers and Facilitators

This workshop will introduce the importance of identifying, understanding, and addressing implementation barriers and facilitators. It will also feature a review of common methods of data collection ...
GitHub

HMAC-based key derivation function (HKDF) standalone implementation using pure Python.

This library contains a pure-Python implementation of the HMAC-based key derivation function (HKDF) as specified in RFC 5869. The order and names of arguments within the function signatures in this ...
Wall Street Journal

Large Language Models Get All the Hype, but Small Models Do the Real Work

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention.