Explore how the AI infrastructure boom is reshaping technology through advanced chips, memory, data centers, cybersecurity, energy demands, and consumer hardware.
Crusoe raised over $3 billion at roughly a $30 billion valuation — close to triple its October 2025 mark — while building a 1.2 gigawatt cluster for OpenAI in Texas. The number that matters in AI infrastructure is no longer GPUs. It is gigawatts.
OpenAI released GPT-6 Astra on 3 September, calling it a new capability level for coding, research and computer use. Within a day the launch had produced a public apology, a restricted consumer build, and the first model ever rated Critical for cyber capability.
Artificial intelligence (AI) is taking the world by storm, and the software industry is at the forefront of the curve. However, while AI-powered tools have received accolades for their ability to perform repetitive coding and debugging tasks, their role in the design phase has received less attention. But AI is indeed entering the design phase
Artificial Intelligence (AI) continues to rapidly evolve, fundamentally changing how apps are conceptualized, developed, and maintained. As we look forward, the role of AI in app development is becoming increasingly sophisticated, empowering developers to build smarter, more intuitive, and highly personalized apps. Here’s a look at the future of AI in app development, along with
As artificial intelligence (AI) tools gain more prevalence in the software industry, many positions are evolving to adapt to the changing workflows. AI can complete many of the time-consuming tasks that were previously done by software professionals, allowing software development companies to streamline their teams and shift their workflows to account for AI’s growing presence.
Artificial intelligence continues to redefine industries, unlocking powerful capabilities and opportunities. However, alongside these advancements come significant challenges and ethical questions. As businesses and developers, it’s critical for us to understand and navigate the complexities of AI, including issues related to bias, transparency, privacy, and workforce implications. Let’s explore these challenges and outline some practical
Approximately 70-95% of software developers have begun incorporating artificial intelligence (AI) into their workflows, according to recent surveys by GitHub and Stack Overflow. AI-powered tools have the power to help make the development process more efficient and enjoyable for software engineers, especially once they can fully incorporate the tools into their workflows. GitHub Copilot has
Artificial intelligence (AI) is shaking things up in app development, making everything from automation to personalization feel like magic. Companies across industries are harnessing AI to improve efficiency, reduce costs, and deliver innovative products to their users. In this blog post, we’ll explore some real-world examples of companies that have successfully integrated AI into their
AI is rapidly transforming app development by optimizing workflows, refining user experiences, and enhancing decision-making at every stage of the development lifecycle. From ideation to post-deployment, AI tools are enabling development teams to work smarter, and more efficiently. Here are some practical examples of how AI is transforming each phase of modern app development, as
Congratulations- you’ve launched your app! The work is finally done… right? Wrong. Once your app is deployed, maintenance and enhancements are regularly required to keep it running smoothly. While these tasks have typically required a continual influx of time and money, artificial intelligence (AI) tools are now allowing app owners to automate many of these
Today’s digital age demands speed, innovation, and precision — qualities that traditional app development methods often struggle to deliver consistently. Enter artificial intelligence (AI), a transformative force reshaping the way apps are conceptualized, designed, built, and maintained. AI is not just a buzzword; it’s a game-changer that empowers developers to work smarter, create faster, and
