Linear attention squeezes the unbounded KV cache into a fixed-size recurrent state, but editing that memory without scrambling existing associations is hard. Prior delta-rule models like Gated DeltaNet and KDA use one scalar gate to control both erasing old content and writing new content. NVIDIA's Gated DeltaNet-2 decouples these into a channel-wise erase gate b_t on the key axis and a channel-wise write gate w_t on the value axis. At 1.3B parameters trained on 100B FineWeb-Edu tokens, it outperforms Mamba-2, Gated DeltaNet, KDA, and Mamba-3 across language modeling, commonsense reasoning, and long-context retrieval — with the largest gains on RULER S-NIAH and multi-key needle retrieval.
The post NVIDIA AI Releases Gated DeltaNet-2: A Linear Attention Layer That Decouples Erase and Write in the Delta Rule appeared first on MarkTechPost.
The post Nvidia just increased dividends; Here’s how much 100 NVDA shares will earn on June 26 appeared on BitcoinEthereumNews.com.
Nvidia (NASDAQ: NVDA) has increased its dividend payout, further strengthening the company’s appeal to investors seeking both growth and income. The chipmaking giant announced the sharp increase on May 20 alongside its blockbuster fiscal first-quarter earnings results. Under the new plan, Nvidia will pay a quarterly dividend of $0.25 per share on June 26, 2026, representing a massive 2,400% jump from the previous quarterly payout of $0.01 per share distributed in April. For investors holding 100 shares of Nvidia stock, the upcoming payout will amount to $25. On an annualized basis, shareholders with 100 shares would earn $100 per year if the company maintains the new dividend rate of $1 per share annually. To qualify for the payment, investors must own Nvidia shares before the June 4, 2026, ex-dividend date. As of press time, Nvidia stock closed at $215.33
Nvidia's strategic focus on China underscores the potential for significant market shifts and diplomatic influence in global tech dynamics.
The post Nvidia CEO Jensen Huang highlights China as long-term opportunity despite US tech tensions appeared first on Crypto Briefing.
Nvidia's strategic focus on China underscores the potential for significant market shifts and diplomatic influence in global tech dynamics.
The post Nvidia CEO Jensen Huang highlights China as long-term opportunity despite US tech tensions appeared first on Crypto Briefing.
Nvidia's strategic presence in Taiwan highlights the critical role of semiconductor supply chains in global AI and tech competition.
The post Nvidia CEO Jensen Huang arrives in Taiwan for GTC Taipei keynote appeared first on Crypto Briefing.
Nvidia's CPU market entry could disrupt industry dynamics, with potential growth hinging on geopolitical shifts and export control policies.
The post Nvidia forecasts $200B CPU market, includes China in its long-term projections appeared first on Crypto Briefing.
Nvidia's ambitious CPU market entry could reshape the AI landscape, challenging existing players and navigating geopolitical complexities.
The post Nvidia forecasts $200B CPU market, includes China demand despite export restrictions appeared first on Crypto Briefing.
The post NVIDIA’s AI Agents Automate Signal Discovery in Quant Finance appeared on BitcoinEthereumNews.com.
Darius Baruo
May 22, 2026 00:59
NVIDIA’s NeMo Agent Toolkit enables AI-driven automation for financial signal discovery, reducing research cycles in quantitative trading.
NVIDIA has unveiled a new application of its NeMo Agent Toolkit, showcasing how multi-agent systems (MAS) can transform financial signal discovery in quantitative trading. By automating traditionally manual processes, the system reduces research cycles and enhances the efficiency of uncovering alpha-generating signals, a critical component of systematic trading strategies. According to the blog post authored by NVIDIA’s Peihan Huo, the system coordinates three specialized AI agents: the Signal Agent, Code Agent, and Evaluation Agent. Together, these agents operate in a continuous loop of hypothesis generation, backtesting, and refinement. This self-improving workflow leverages NVIDIA’s Nemotron
These ETFs could democratize access to tech venture investments but may pose liquidity and concentration risks, especially in volatile sectors.
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