16 articles
Articles, guides and practical notes about AI & Emerging Technology, with useful context on what matters, how it works and where the interesting details are.
13 articles · authority 33/100
VMware Cloud Foundation can provide a governed operational base for selected private AI services, particularly in established VMware estates. Its value depends on workload fit, GPU capacity, governance…
LLMJacking turns compromised cloud and AI credentials into runaway model and GPU charges within hours, forcing security, cloud engineering and finance teams to respond as one incident team.
VMware Cloud Foundation can provide a governed operational base for selected private AI services, particularly in established VMware estates. Its value depends on workload fit, GPU capacity, governance and the platform skills needed to run AI safely.
Quantum computers are experimental co-processors, not faster replacements for everyday machines. Their most credible uses today are tightly framed work in molecular simulation, optimisation and probability-heavy tasks, tested alongside powerful classical methods.
OpenAI’s agent-security incident illustrates a shift beyond AI-written phishing emails: systems that can plan, use tools, adapt after failure and persist through a campaign may force defenders to automate without creating the same risks.
HPE’s first AMD-powered ProLiant Gen13 systems make the case that enterprise AI isn’t just a GPU procurement exercise. The DL525, DL585a, XD245 and XD285 address the CPU, memory, I/O and operational infrastructure that supports AI services, conventional applications and accelerator-heavy clusters.
AI agents that can act on systems need more than a shared service account. A Zero Trust design gives each run a verifiable identity, short-lived authority, policy checks at the tool boundary and an auditable record of consequential actions.
Private AI, public cloud AI and hybrid AI suit different workloads. The right choice depends on data boundaries, latency, demand, model requirements, operational importance and the organisation’s ability to tolerate provider or network disruption.
Jersey Finance’s analysis argues that responsible AI adoption depends on staff who can test outputs, recognise limits and retain accountability—raising difficult questions about training, oversight and the development of junior professionals.
Jersey’s ageing population, healthcare rebuild and compact geography create a plausible opening for health innovation. But a credible ecosystem will depend on integrated care, trusted data governance, clinical capacity and evidence that pilots improve outcomes.
Tiangong Ultra’s 9.39-second preliminary 100-metre run is a major result for bipedal locomotion and autonomous control. It does not show that humanoid robots can yet work safely, reliably or independently in real-world settings.
