AI & Machine Learning

For decades, humanoid robots belonged to the realm of science fiction. But today, they’re one of Silicon Valley’s hottest markets. According to consulting firm McKinsey, automation could transform up to 30 percent of all hours worked across the US economy by 2030. Dozens of companies are already developing robots that can interact with people and even help […]

Finland, wary of misinformation from Moscow and beyond, has a leg up on other nations in spotting fake news. But A.I. is a whole new challenge.

Plus, why veterinarians are learning to handle honeybees.

TL;DR VCF 9.1 Private AI security is not one firewall rule, one dashboard, or one product. It is an architecture in which VCF Private AI Services supplies the AI service layer, VCF Networking and NSX control connectivity and segmentation, VMware vDefend provides lateral security and threat prevention, and operations tooling correlates model activity with identity,

TL;DR AI assistant failures are usually system failures, not just model failures. A production assistant can fail because of weak retrieval, stale content, poor routing, missing telemetry, slow tools, unclear handoff logic, prompt drift, or access-control gaps. Treat the assistant like an operational system with traces, failure domains, validation tests, rollback paths, and accountable owners.

When tech executives call a reporter, they usually have a point to make. The job is to listen, but also push and prod, Mike Isaac says.

TL;DR VMware Live Recovery has been renamed and integrated into VMware Cloud Foundation as VCF Protection and Recovery. The name describes a broader protection model, but it does not represent one universal backup product. The practical model has several layers: vSAN Protection and Recovery provides local VM snapshot protection and operational recovery. Remote replication moves

TL;DR Kubernetes Dynamic Resource Allocation changes NVIDIA GPU scheduling from an opaque integer request into an explicit device-selection workflow. Instead of asking only for nvidia.com/gpu: 1, a workload can claim a class of GPU, filter by architecture or memory, request full GPUs or MIG devices, and let the scheduler bind a specific device through a

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