Inside OpenAI’s Race to Catch Up to Claude Code

Katy Shi, a researcher who works on Codex's behavior at OpenAI, says that while some folks describe its default personality ...

AI is getting scary good at finding hidden software bugs - even in decades-old code

Researchers have found that LLM-driven bug finding is not a drop-in replacement for mature static analysis pipelines. Studies comparing AI coding agents to human developers show that while AI can be ...

AI-enabled quantum refinement cracks the code of difficult-to-map proteins

Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational chemistry, is not unlike using the Rosetta Stone to unlock the secrets of ancient ...
IEEE

Off-Grid Sparse Array Synthesis With Discrete Phase Constraints: A Mixed-Integer Programming Approach

Abstract: The design of sparse synthesis has been paying much attention in recent years due to the control of system cost. Concurrently, phase quantization is increasingly being considered for system ...

Gigasoft Solves AI’s Biggest Charting Code Problem: Hallucinated Property Names

ProEssentials v10 introduces pe_query.py, the only charting AI tool that validates code against the compiled DLL binary ...
IEEE

Constraint Programming Based Model and Algorithm for Solving Steelmaking and Continuous Casting Scheduling Problem with Adjustable Casting Time

Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...
Analytics Insight

How to Master Algorithmic Problem Solving for Coding Interviews

Want to Crack Coding Interviews at Top Tech Companies by Thinking Clearly, Spotting Patterns Quickly, and Explaining Your Logic with Confidence Instead of Freezing Under Pressure? Strong knowledge of ...