Abstract: Nonlinear networks are often multistable, exhibiting coexisting stable states with competing regions of attraction (ROAs). As a result, ROAs can have complex “tentacle-like” morphologies ...
Anthropic opened its virtual "Briefing: Enterprise Agents" event on Tuesday with a provocation. Kate Jensen, the company's head of Americas, told viewers that the hype around enterprise AI agents in ...
On Thursday, OpenAI released its first production AI model to run on non-Nvidia hardware, deploying the new GPT-5.3-Codex-Spark coding model on chips from Cerebras. The model delivers code at more ...
Publish your MATLAB® functions to MATLAB Production Server™ as Model Context Protocol (MCP) tools. This allows AI agents to call your functions, enhancing their capabilities with domain-specific ...
Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...
If you're new to vibe coding, these tips might help you on your journey to creating apps with natural language. Blake has over a decade of experience writing for the web, with a focus on mobile phones ...
It’s the moment software engineers, executives and investors turn their work over to Anthropic’s Claude AI—and then witness a thinking machine of shocking capability, even in an age awash in powerful ...
On Monday, Anthropic announced a new tool called Cowork, designed as a more accessible version of Claude Code. Built into the Claude Desktop app, the new tool lets users designate a specific folder ...
Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company insiders, the team ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Multilayer nonlinear diffraction neural networks with programmable and fast ReLU activation function
Optical diffractive neural networks are emerging for improving speed and energy efficiency in machine learning. However, the challenges of nonlinear activation functions (e.g., latency issues, high ...
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...
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