AIHealthcareResearch

Breakthrough AI Framework Enhances Prosthetic Hand Control Through Muscle Signal Optimization

A new machine learning framework using L-SHADE optimization has demonstrated significant improvements in surface electromyography-based hand gesture recognition. The system reportedly achieves 87.89% accuracy while reducing processing time to just 3.16 milliseconds, potentially revolutionizing prosthetic control technology.

Revolutionary Optimization Technique Transforms Prosthetic Control Systems

Researchers have developed an advanced machine learning framework that significantly improves hand gesture recognition from muscle signals, according to recent reports published in Scientific Reports. The system, which combines Linear Population Size Reduction Success-History Adaptation Differential Evolution (L-SHADE) with Extra Tree classifiers, has demonstrated substantial improvements in both accuracy and processing speed for surface electromyography (sEMG) based gesture recognition.

AIBusinessTechnology

Sea Limited CEO Forrest Li Envisions AI-Driven Path to Trillion-Dollar Valuation

Sea Limited CEO Forrest Li has reportedly outlined an ambitious vision for the company’s future, suggesting artificial intelligence could drive a tenfold increase in market capitalization. According to internal communications, the Southeast Asian tech giant sees AI as transformative as previous technological revolutions. However, sources indicate significant challenges remain in harnessing AI’s full potential.

Sea’s Ambitious AI-Driven Growth Strategy

Sea Limited founder and CEO Forrest Li has reportedly set an ambitious target for the Southeast Asian technology company, suggesting it could achieve a $1 trillion market capitalization with the help of artificial intelligence integration, according to internal communications obtained by Bloomberg News. The memo to staff reportedly compared AI’s transformative potential to historical technological revolutions that dramatically expanded access to products and services.

AISoftware

Anthropic Launches Browser-Based Claude Code Platform for Cloud Development

Anthropic has launched a web version of Claude Code that operates entirely through browser interfaces, eliminating the need for command-line tools. The platform now supports multiple simultaneous coding tasks and integrates directly with GitHub workflows. Early adopters report significant productivity gains with the cloud-based development environment.

Cloud-Based Coding Environment

Anthropic has launched a web-based version of Claude Code that enables developers to write, fix, and manage code directly through their browsers, according to reports. Sources indicate this represents a significant shift from the previous command-line interface, removing the need for local installations and setup procedures. The platform reportedly runs entirely in the cloud, allowing real-time task assignment, pull request generation, and update tracking from a single interface.