At a glance Many real-world business problems can benefit from optimization, but translating decisions, constraints, and goals from natural language into optimization algorithms is slow. OptiMind is a small language model designed to convert business problems described in natural language into the mathematical formulations needed by optimization software. OptiMind is trained on a carefully curated, expert-aligned dataset and

Something interesting just happened in China’s AI scene, and it didn’t come with fireworks or chest-thumping press conferences. Instead, it arrived almost casually – which somehow makes it more impressive. Zhipu AI, a well-known Chinese artificial intelligence company, says it has trained a cutting-edge image generation model entirely on Huawei’s homegrown chips. No Nvidia GPUs.

Chinese company Zhipu AI has trained image generation model entirely on Huawei processors, demonstrating that Chinese firms can build competitive AI systems without access to advanced Western chips. The model, released on Tuesday, marks the first time a state-of-the-art multimodal model completed its full training cycle on Chinese-made chips, Zhipu said in a statement. The

Popular vibe coding platforms consistently generate insecure code in response to common programming prompts, including creating vulnerabilities rated as ‘critical,’ new testing has found. Security startup Tenzai’s top-line conclusion: the tools are good at avoiding security flaws that can be solved in a generic way, but struggle where what distinguishes safe from dangerous depends on

JetBrains has released Compose Multiplatform 1.10.0, the latest version of the Kotlin-based declarative framework for building shared UIs across multiple platforms. Unveiled January 13, the update supports automatic resizing for native interop elements on both desktop and iOS deployments. Resizing of these elements means they now can adapt their layout to their content, eliminating the

A massive surge in attacks on the npm ecosystem over the past year reveals a stark shift in the software supply‑chain threat landscape. What once amounted to sloppy typosquatting attempts has evolved into coordinated, credential-driven intrusions targeting maintainers, CI pipelines, and the trusted automation that underpins modern development. For security leaders, these aren’t niche developer

The way software is developed has undergone multiple sea changes over the past few decades. From assembly language to cloud-native development, from monolithic architecture to microservices, from manual testing to CI/CD automation, we’ve seen the emergence of numerous software architectures, technologies, and tools to meet the ever-changing demands of enterprises and their developers. Most recently,

Software engineering didn’t adopt AI agents faster because engineers are more adventurous, or the use case was better. They adopted them more quickly because they already had Git. Long before AI arrived, software development had normalized version control, branching, structured approvals, reproducibility, and diff-based accountability. These weren’t conveniences. They were the infrastructure that made collaboration

Despite many worthy contenders, React remains the most popular front-end framework, and a key player in the JavaScript development landscape. React is the quintessential reactive engine, continually innovating alongside the rest of the industry. A flagship open source project at Facebook, React is now part of Meta Open Source. For developers new to JavaScript and

Product teams regularly approach platform organizations with requests that make complete business sense. A team launching in new markets needs regional payment processor integration. Another team piloting a new discounting strategy needs a new incentive construct. A third team building an enterprise offering needs custom invoicing capability. These requests are well-scoped and clearly valuable. Yet