MATIC price prediction points to $0.45-$0.50 recovery zone within 4-6 weeks, contingent on breaking $0.42 resistance and holding $0.35 support levels. With Polygon trading at $0.38 and down 70% from ...

The latest XRP price prediction consensus from leading analysts reveals a cautiously optimistic outlook for Ripple's native token. DigitalCoinPrice presents the most bullish Ripple forecast, targeting ...

Technical analysis suggests SOL could reach $155-$165 range within weeks, with immediate target at $144.30. Current bullish MACD histogram supports upside potential. The SOL price prediction landscape ...

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NVIDIA launches NCCL 2.27 to improve AI workloads with faster GPU communication, lower latency, and enhanced resilience, addressing the demands of modern AI infrastructures. NVIDIA has announced the ...

LangSmith introduces a no code Agent Builder, empowering non-developers to create AI agents. This tool aims to simplify agent creation with guided prompts and memory features. LangSmith has unveiled ...

SpaceX Tokens, a cryptocurrency linked to SpaceX, are allegedly used for decentralized funding and community engagement, but evidence suggests they are part of a scam involving fake advertisements and ...

Character.AI reported a brief incident where user data was exposed to others for ten minutes. The company has implemented additional safeguards to prevent future occurrences. Character.AI recently ...

The Hong Kong Monetary Authority (HKMA) has concluded the e-HKD Pilot Programme, unveiling findings and future plans for the digital currency, focusing on wholesale applications. The Hong Kong ...

Andreessen Horowitz leads a $12.9 million funding round for Zar, a fintech startup in Pakistan, to facilitate cash-to-stablecoin conversions in emerging markets. Andreessen Horowitz, a prominent ...

Closed-Loop Tokens (CLTs) offer enhanced security, compliance, and tailored functionality for specific applications, according to The Sui Blog. Closed-Loop Tokens (CLTs) are emerging as a crucial ...

Scalable Representation for Q-functions: The Q-Transformer uses a Transformer model to provide a scalable representation for Q-functions, trained via offline temporal difference backups. This approach ...