Getting on with RAMageddon: How the AI bubble is impacting electronics industries
Major electronic memory-chip producers have been forthcoming in their warnings of a protracted drought and price surge across electronic products
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AI continues to cause customer service workforce streamlining in global businesses: Bloomberg report
Although multinational corporations rarely cite automation or AI as the cause, the scale of savings strongly implies a connection.
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Smart glass manufacturer sharpens its focus on potential privacy risks
Taking on a new lens at current backlashes facing other smart glass makers, one major player is pondering various workarounds.
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Global chatbot outage disrupts access amid ongoing reliability concerns
Blocked logins, prompts, conversations, APIs for users across the globe raise concerns about reliability, recoverability and user over-reliance on the service
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Questions over industry influence surface as EU considers forced removal of foreign telco vendors
Critics highlight methodological gaps, arguing projections overlook routine upgrades while warning of potential lobbying influence shaping the policy narrative
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New quantum processors exceed 100 qubits at room temperatures
Sulfur co-implantation enables 512-qubit NV-center systems running in standard racks with 99.92% gate fidelity and multi-core entanglement.
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EU finalizes AI Act guidance on deepfakes, transparency ahead of August enforcement
The transparency guidance details disclosure standards, identification of AI works, member-state enforcement rights, and a list of exemptions
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How do you fix automation when the real bottleneck is brittle document workflows?
Singapore Management University adopts agentic AI to tackle brittle automated workflows streamline document handling, and reduce manual errors across administrative teams.
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Rising trend: Communities oppose data center expansion amid AI infrastructure surge concerns
Moratoriums, protests, and policy responses emerge worldwide, citing strain on resources, rising costs, environmental impact, and concentrated development proposals.
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How an “honest mistake” by generative AI destroyed files and VMs without user permission
Can errors in generative AI models really be characterized as “honest” when they stem from foreseeable design risks and insufficient safeguards?
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