The evolution of AI coding tools has raised the prospect of “disposable software” that would reduce the need for expensive, long-term maintenance. But although appealing, this paradigm shift would be challenging for government to implement. A SpecOps approach, though, may solve the problem.
Upgrading an existing data center for AI/ML needs can be done, but there are many factors to consider.
Looking for guidance on what AI can do and how to implement it? Check out this roundup of quick, insightful blog posts.
The basics of quantum computing can be hard to comprehend — and even more difficult to remember. Here are five key points to keep in mind, in commonsense language.
Quantum computing poses one clearly identified threat — the ability to compromise almost all current digital encryption. Here’s how to prepare today.
Responsible for ensuring the safety of the various ways we travel, transportation agencies are challengedto reduce crashes and ensure the efficient movement of people and goods. In order to do that effectively, agencies must rely on data to help create new approaches to safety, resiliency, operations, and planning, and to address challenges such as congestionRead… Read more »
Agencies seek AI transformation but still use procurement systems designed for the last century. To fix it, embed agility and accountability into every acquisition.
The basic unit of quantum computing, the qubit, sounds like something you could buy one at a store. But it’s not. Here’s some background on quantum.
Quantum technology will require a specialized workforce — but it won’t all be high-level researchers, engineers and computer scientists.
AI pilots may seem affordable, but production-scale inference brings spiraling costs and energy demands. Make AI both scalable and responsible.