Full-Duplex Voice AI: Why Talking to Software Is Becoming More Natural
Voice AI is moving beyond turn-by-turn assistants. Full-duplex models can listen and speak at the same time, handle interruptions and delegate deeper work to tools and agents.
Section
Website Safety
Deciding whether a site or a link deserves your details, before you type them in.
Synthetic Data in 2026: Why AI Is Learning From Data That Never Happened
Synthetic data is becoming a major part of AI training, especially for robotics, simulation, code and rare scenarios that are expensive or dangerous to collect in the real world.
Agentic Browsers: Why the Browser Is Becoming an AI Workspace
Browsers are changing from passive windows into the web to active AI workspaces that can understand context, automate tasks and operate websites on a user's behalf.
Data Agents: The Next Step Beyond Traditional Business Intelligence
Data agents can investigate business questions, connect to trusted sources and build dashboards through conversation, reducing the gap between a question and analysis.
Android XR in 2026: Google’s Push for a New Spatial Computing Ecosystem
Android XR is expanding across headsets, wired XR glasses and intelligent eyewear, giving developers a shared platform for a new generation of spatial computing devices.
AI Content Provenance: Can We Still Tell Where Digital Media Came From?
As synthetic images, video and audio become harder to identify by sight, the technology industry is expanding watermarking and cryptographic content credentials.
RISC-V for AI: Why an Open Instruction Set Is Moving Toward Servers and Agentic Compute
RISC-V is moving beyond embedded systems as vendors target server-class CPUs and AI infrastructure with an open instruction-set architecture.
Local Open AI Models: Why More Developers Want Intelligence They Can Run Themselves
Open and locally deployable AI models are becoming more capable, giving developers new options for privacy, cost control, offline use and custom agent systems.
Time-Series Foundation Models: AI for Forecasting Without Training From Scratch
Time-series foundation models are bringing the pretrained-model approach to forecasting, letting teams predict future values without building a separate model for every dataset.
The Agentic SOC: How AI Agents Are Changing Cybersecurity Operations
Security operations are adopting coordinated AI agents that investigate threats across endpoint, identity, cloud, SaaS and network data at machine speed.
Questions this section answers
- What does full-duplex mean in voice AI?
- It means the system can listen and speak at the same time instead of forcing strict one-person-at-a-time turns.Answered in Full-Duplex Voice AI: Why Talking to Software Is Becoming More Natural