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[Paper] Controlled Self-Evolution for Algorithmic Code Optimization
Self-evolution methods enhance code generation through iterative 'generate-verify-refine' cycles, yet existing approaches suffer from low exploration efficiency...
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How DoorDash scaled without a costly ERP overhaul
Presented by NetSuite Most companies racing from startup to an industry leader face a choice: limp along with scrappy early systems or endure a costly platform...
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[Paper] A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems
The rapid emergence of multi-agent AI systems (MAS), including LangChain, CrewAI, and AutoGen, has shaped how large language model (LLM) applications are develo...
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[Paper] The Potential Impact of Neuromorphic Computing on Radio Telescope Observatories
Radio astronomy relies on bespoke, experimental and innovative computing solutions. This will continue as next-generation telescopes such as the Square Kilometr...
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[Paper] SC-MII: Infrastructure LiDAR-based 3D Object Detection on Edge Devices for Split Computing with Multiple Intermediate Outputs Integration
3D object detection using LiDAR-based point cloud data and deep neural networks is essential in autonomous driving technology. However, deploying state-of-the-a...
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[Paper] Neuromorphic FPGA Design for Digital Signal Processing
In this paper, the foundations of neuromorphic computing, spiking neural networks (SNNs) and memristors, are analyzed and discussed. Neuromorphic computing is t...
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[Paper] Zer0n: An AI-Assisted Vulnerability Discovery and Blockchain-Backed Integrity Framework
As vulnerability research increasingly adopts generative AI, a critical reliance on opaque model outputs has emerged, creating a 'trust gap' in security automat...
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This new Apple Intelligence feature in iOS 26 might be one of my all-time favorites
It’s been half a year since iOS 26 debuted in beta, so I’ve had quite a bit of time to sit with it. In a release with such a massive redesign, it’s easy for som...
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[Paper] MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning
Log parsing converts semi-structured logs into structured templates, forming a critical foundation for downstream analysis. Traditional syntax and semantic-base...
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[Paper] Calibrating Agent-Based Financial Markets Simulators with Pretrainable Automatic Posterior Transformation-Based Surrogates
Calibrating Agent-Based Models (ABMs) is an important optimization problem for simulating the complex social systems, where the goal is to identify the optimal ...
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[TIL] A Three-Hour Interview with Ji Yichao, Chief Scientist at Manus (Acquired by Meta)
January 5th, 2026 Full Videohttps://www.youtube.com/watch?v=UqMtkgQe-kI This three‑hour interview with Ji Yichao, Chief Scientist at Manus later acquired by Met...
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[Paper] MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences
While autonomous software engineering (SWE) agents are reshaping programming paradigms, they currently suffer from a 'closed-world' limitation: they attempt to ...