AI transformation cannot be "AI for everything." Successful enterprises focus on a limited set of high-impact use cases with measurable outcomes.

AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Anthropic, a Generative AI company, introduced a new solution that is free. This noteworthy solution would seem to put many enterprise software vendors at risk.

As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...

Relying on GA4 alone leaves AI SEO analytics lost in the Bermuda Triangle of measurement. Learn what’s missing – and what to track instead.

From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...

Embodied AI is central to modern autonomous driving systems. These systems do not merely perceive the environment; they ...

At a recent roundtable with legal, risk, and audit leaders from India's top enterprises, a consistent concern emerged: AI ...

Explore how quantum sensors are revolutionizing scientific measurement. Learn about superposition, entanglement, and high-precision data acquisition.

Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...