IEEE

Output-Feedback Based Simplified Optimized Backstepping Control for Strict-Feedback Systems with Input and State Constraints

Abstract: In this paper, an adaptive neural-network (NN) output feedback optimal control problem is studied for a class of strict-feedback nonlinear systems with unknown internal dynamics, input ...

Canada’s manufacturing sector expands again in May as firms rush to secure goods

Potential for higher prices and product shortages stemming from Middle East war likely boosted demand, PMI data show ...
Memeburn

Claude Opus 4.8: Anthropic Launches Its Most Capable AI Model Yet With Dynamic Workflows and Agent Swarms

Anthropic releases Claude Opus 4.8 with dynamic workflows, 1,000 parallel subagents, and 3x cheaper fast mode. Here's what ...

How to Cut AI API Costs by 80%: AI.cc Publishes Step-by-Step Token Optimization Guide for Engineering Teams

SINGAPORE, SINGAPORE, SINGAPORE, May 28, 2026 /EINPresswire.com/ -- Free guide draws on analysis of 2.4 billion API ...

Google AI Studio Cheat Sheet: Features, Pricing, and More

Google AI Studio lets users test Gemini models, build apps, generate media, and export code. Here’s what it does, costs, and ...

Vibe Coding Cheat Sheet: Tools, Prompts, Security Tips, and More

This vibe coding cheat sheet explains how plain-language prompts can build apps fast, plus the planning, testing, and ...
GitHub

8v is one binary that reads, writes, searches, checks, builds, tests, and formats code, using fewer input and output tokens than the agent's native tools.

Today, 8v supports Claude Code. More agents next. Rust, TypeScript, JavaScript, Python, Go, Deno, .NET, Ruby, Java, Kotlin, Swift, Terraform, Dockerfile, Helm ...
IEEE

Physics-Based Analytical Model for Input, Output, and Reverse Capacitance of a GaN HEMT With the Field-Plate Structure

Abstract: This paper presents an analytical model for input, output, and reverse capacitance of a normally on AlGaN/GaN high-electron mobility transistor (HEMT) with a gate field-plate structure, when ...
GIGAZINE

The AI model 'MiniMax-M1', which can handle the world's longest context window of 1 million token inputs and 80,000 token outputs, was trained for only 78 million yen and is ...

MiniMax, an AI company based in Shanghai, China, has announced that it will open-source its latest large-scale language model (LLM), MiniMax-M1. MiniMax-M1 supports the world's longest context window ...