The battle for AI is shifting from models to the silicon beneath them
The next phase of artificial intelligence competition is increasingly being defined not by software alone, but by the hardware that underpins it. As demand for large-scale inference and real-time AI services grows, companies are moving to design their own silicon, seeking greater control over performance, efficiency and cost. Meta has expanded its partnership with Broadcom […]
The future of AI may depend on how machines learn from the real world
Artificial intelligence has advanced at extraordinary speed in the digital domain, but its transition into the physical world remains constrained by a fundamental limitation. Unlike large language models, which are trained on vast quantities of internet data, robots must learn from far more limited and complex real-world environments. This gap is increasingly being recognised as […]
Enterprise AI confronts its trust problem as analytics moves inside the model
Alteryx has introduced a new AI Insights Agent on the Google Cloud Marketplace, embedding governed analytics directly into Gemini Enterprise in an attempt to address a persistent weakness in enterprise artificial intelligence. As organisations accelerate their use of generative systems to inform decisions, the gap between speed and trust is becoming harder to ignore. The […]
AI infrastructure is forcing a rethink of how electricity grids maintain stability
ABB and VoltaGrid have extended their collaboration on data centre power systems, underlining how the rapid expansion of artificial intelligence is reshaping not only demand for electricity, but the technical requirements needed to keep it stable. The agreement, signed at the energy industry conference CERAWeek in Houston, will see ABB supply 35 synchronous condensers with […]
Telecom networks are being rebuilt around AI at the edge
The architecture of telecommunications networks is undergoing a structural shift as artificial intelligence and real-time applications push compute away from centralised data centres and towards the network edge. What was once a model built around dense metropolitan hubs is being replaced by a more distributed approach, designed to process growing volumes of data closer to […]
The intelligence problem AI has been avoiding
Artificial intelligence has scaled faster than its own understanding of how intelligence forms. The result is a generation of systems that perform impressively but behave in ways their creators cannot reliably explain, control, or sustain. Artificial intelligence has spent a decade convincing itself that intelligence is a function of scale, that if enough parameters are […]
The hidden limits behind modern compute scale
AI infrastructure is being constrained not by software or silicon, but by the physical systems that connect them. Cabling, optics, and density are no longer implementation details, they are defining what AI architectures can actually be built. The assumption that AI scales cleanly with compute is beginning to fail in places that are difficult to […]
AI startups: Where AI meets industrial reality
Artificial intelligence is being forced into environments where systems must operate continuously, not just perform occasionally. In this second article drawn from companies presenting at NVIDIA GTC, the focus shifts to industrial settings, where labour shortages, infrastructure limits, and physical constraints are shaping how AI is deployed and scaled. The language around industrial AI still […]