Walletverse and StealthEX Announce Strategic Integration: Empowering Users with Instant, Non-Custodial Swaps

Need to know what happened in crypto today? Here is the latest news on daily trends and events impacting Bitcoin price, blockchain, DeFi, NFTs, Web3 and crypto regulation.

The Chief AI Council is identifying pain points for agencies to understand and avoid around everything from AI and cybersecurity to IT procurement and privacy.

Outset Media Index helps Web3 marketing agencies replace fragmented PR research, media benchmarking, and reporting workflows with one unified media intelligence platform built for data-driven campaign planning.

Learn how ChatGPT safeguards your privacy, reduces personal data in training, and gives you control over whether your conversations improve AI models.

Anonymous or licensed Web3 sportsbook? Compare how bettors choose between privacy and regulation for football and esports, and why Dexsport combines both.

Three key advantages of SLMs Division of labor: Modern AI architecture uses routers to send routine tasks to 7B-parameter SLMs, reserving trillion-parameter LLMs only for complex reasoning. Economic efficiency: For high-volume, repetitive tasks, SLMs can reduce cloud inference costs by up to 90% while providing near-instant latency. Privacy at the edge: Because SLMs can run locally on-device or on-premises, they reduce the data leakage risks inherent in sending sensitive telemetry to the public cloud. Large language models (LLMs) are the workhorses of AI, supporting ever more sophisticated capabilities and workflows, and approaching near-human level performance. But sometimes more isn’t always better — it’s just more. Specialized data and limited capabilities are just fine for some workflows. This realization is driving the evolution of small language models (SLMs), rather than one-size-fits-all LLMs. SLMs — coming in the form of domain-specific models, statistical langua

KuCoin Web3 has integrated Ondo Global Markets into its self-custodial wallet, extending asset access beyond native perpetual trading to include tokenized real-world assets.

Google says it respects user privacy in AI, but the reality is not so black and white.