The reality of AI in the workplace is more complex than either complete job displacement or simple augmentation ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Abstract: In order to improve the productivity of the workshop and reduce the manufacturing cost, this paper carries out an in-depth analysis and research on the complex workshop environment based on ...

Siddhesh Surve is an accomplished Engineering leader with topics of interest including AI, ML, DS, DE, Cloud compute.

In this work, we frame PDE solving as tool invocation via LLM-driven agents and introduce PDE-Agent, the first toolchain-augmented multiagent collaboration framework, inheriting the reasoning capacity ...

Abstract: The Reentrant Flexible Flow Shop Scheduling Problem (RFFSP) involves multiple repetitions of job processing in the production system, which leads to higher scheduling complexity. To solve ...

Modern AI Agents are now typically powered by Large Language Models (LLMs). The LLM acts as the Agent’s reasoning core, ...

Sometimes it’s the simplest things in life that make the biggest difference – like these 10 life hacks. Why struggle to open a box when inserting a piece of string when you tape it closed can make ...

Tool-space interference occurs when adding an otherwise reasonable agent or tool to a team or agent reduces end-to-end task performance. We study the phenomenon in an analysis of 1470 MCP servers and ...