Intelligence is now constrained by physics and power

Artificial intelligence is no longer constrained primarily by ...

AI startups: AI leaving the lab and entering the real world

Artificial intelligence is now being tested in environments ...

Cooling dictates the limits of AI infrastructure

Cooling is no longer a supporting system within ...

How AI could transform networks from cost centres into economic engines

For decades enterprise and telecom networks have been ...
News

AI is becoming the control layer for quantum computing

The path to practical quantum computing has long been defined by a series of unresolved ...

Open architectures emerge as the foundation for AI scale infrastructure

The rapid expansion of artificial intelligence is forcing a reassessment of how data centres are ...

The future of AI will be decided by how systems are balanced

The rapid expansion of artificial intelligence is forcing a reassessment of what constitutes performance in ...

AI models are becoming more autonomous and harder to constrain

The latest generation of artificial intelligence systems is beginning to shift from responsive tools to ...
Features

Intelligence is now constrained by physics and power

Artificial intelligence is no longer constrained primarily by algorithms or models but by the physical ...

AI startups: AI leaving the lab and entering the real world

Artificial intelligence is now being tested in environments that do not tolerate abstraction. In this ...

Cooling dictates the limits of AI infrastructure

Cooling is no longer a supporting system within the data centre, it is becoming the ...
Comments

How intelligent power management helps CIOs do more with less in the race to net zero

As organisations race towards net zero while grappling with rising energy demand, power management is ...

Why edge computing forces a rethink of cooling strategy

Matt Thompson, Managing Director, Airsys, argues that edge computing is exposing the limits of cooling ...

Still trying to catch your breath in 2025 Just wait until 2026

Acceleration is no longer a phase but a permanent condition for the data centre industry, ...
Podcast

Episode 28: The trust gap is the real AI bottleneck

In this episode of Into The Madverse, Mark Venables speaks with Daniel Meyer, Chief Technology Officer at Camunda, about why AI in regulated industries fails at scale when enterprises cannot prove what the system did, why it did it, and who stayed accountable.

Episode 27: Why trusting one AI model is the biggest risk

In this episode of Into The Madverse, Mark Venables speaks with Matt Penton, Director of Data & AI at BIP Group, about why relying on a single large language model is a fundamentally flawed strategy for enterprise AI. They explore multi-LLM consensus, agentic supervision, bias, hallucination.

Episode 26: The control room is asleep, and AI is about to wake it up

Mark Venables is joined by Sean Grimm, US Country Manager at Ipsotek, to explore why security control rooms remain stuck in passive monitoring despite massive investment in surveillance. They discuss how AI is turning video into proactive intelligence.

Podcast

Episode 28: The trust gap is the real AI bottleneck

In this episode of Into The Madverse, Mark Venables speaks with Daniel Meyer, Chief Technology Officer at Camunda, about why AI in regulated industries fails at scale when enterprises cannot prove what the system did, why it did it, and who stayed accountable.

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