A typical dilemma is a choice between two options. However, today’s innovators and CIOs face a different challenge of dealing with both probabilistic and deterministic code, not separately, but ...

Combine scalable analytics with advanced AI capabilities like LLMs and agentic tasks to create a new chipmaking platform.

Data-analysis and modelling positions are already becoming obsolete, but hands-on experimentalists can breathe easy for now.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

The resulting outcome is that you have A.I. systems that have learned what it means to solve a problem that takes quite a while and requires them running into dead ends and needing to reset themselves ...

Open source has always had issues, but the benefits outweighed the costs/risks. AI is not merely exponentially accelerating tasks, it is disproportionately increasing risks.

Something peculiar happens when you spend time in corporate boardrooms across India these days. CIOs walk in looking defeated ...

Some say we’ve entered a new age of AI-enabled scientific discovery. But human insight and creativity still can’t be ...

These early adopters suggest that the future of AI in the workplace may not be found in banning powerful tools, but in ...

No-code and low-code platforms are reducing reliance on heavy IT resources, allowing finance teams to lead AI adoption and apply their domain expertise directly. Clear business logic, data readiness ...

Researchers once struggled to understand unconventional solutions developed by artificial intelligence – a new approach at the University of Tübingen leads to faster and better understanding ...

The underrated Android app boosts my productivity to a 10 ...