Google has added a Kernel Profiling suite to XProf. This is its open-source profiler for TPU workloads. Now, developers can see cycle-level details in custom Pallas kernels. Before, these kernels...

The vast majority of Europe’s truck-related revenue flows after a vehicle is sold. Capturing that value presents a major growth opportunity.

Only a few software teams are seeing real impact from incorporating AI. The key is launching an AI-driven redesign of the entire product development system, rather than just deploying new tools.

Cycle recently introduced a separate EU-based control plane, allowing European customers to keep platform management data and telemetry within Europe. The new offering is designed to improve...

Miro cofounder and CEO Andrey Khusid reflects on the company’s evolution from a digital whiteboard to an AI-powered workflow platform—and how AI is reshaping competitive advantage in software.

Aditya Kumarakrishnan explains how to move past the "amnesia phase" of AI. He shares a blueprint for engineering leaders to build modular agent frameworks using CoALA, leverage decades of process...

Platform engineering succeeds when reliability and ergonomics reinforce each other rather than compete. This article explores three foundational pillars: automated reliability, developer...

AI enablement of healthcare providers’ revenue cycle could cut cost to collect by 30 to 60 percent, optimize payment accuracy, and refocus the workforce on high-value expertise and patient experience.

The IT service management (ITSM) landscape is evolving rapidly. The 2025 Gartner Hype Cycle offers IT leaders a sharp lens on where to focus—and where to proceed with caution. ITSM has moved...

本研究探讨了全球工作空间理论下选择-广播周期结构的功能优势，尤其是在动态实时场景中的应用。该结构具有动态思维适应、基于经验的适应和即时实时适应三大优势，为复杂决策和自适应性能提供新的认知架构，推动更强大的人工智能和机器人系统的发展。

本研究提出了一种信息瓶颈语言模型（IBLM），通过压缩内部表征来提升模型的泛化能力。引入了门控相变（GAPT）算法，实现了记忆与压缩的自适应切换，实验结果表明GAPT显著提升了模型性能。

本研究探讨了单幅图像超分辨率中的模块可转移性，提出了“普适性”概念及评估方程（UAE），量化模块在不同模型中的转移便利性。优化后的循环残差块（CRB）和深度循环残差块（DCRB）在各类数据集上显著提升了网络性能。

本研究提出了PsyCounAssist，一个AI驱动的心理咨询助手系统，旨在解决心理咨询中的个性化和动态性不足问题。该系统结合多模态情感识别和大型语言模型，实现实时情感分析和自动化会议报告，从而提高咨询实践的可靠性和灵活性。

AI has the potential to fundamentally transform the development of software products, increasing the pace of the process and the quality of the final output.