Evernorth says XRP drives 92% of RLUSD swaps on XRP Ledger DEX in 2026
🚨 Evernorth says XRP was used in 92% of 2026 RLUSD swaps on its native DEX. Continue Reading:Evernorth says XRP drives 92% of RLUSD swaps on XRP Ledger DEX in 2026 The post Evernorth says XRP drives 92% of RLUSD swaps on XRP Ledger DEX in 2026 appeared first on COINTURK NEWS.
🚨 Evernorth says XRP was used in 92% of 2026 RLUSD swaps on its native DEX. Continue Reading:Evernorth says XRP drives 92% of RLUSD swaps on XRP Ledger DEX in 2026 The post Evernorth says XRP drives 92% of RLUSD swaps on XRP Ledger DEX in 2026 appeared first on COINTURK NEWS.
Yabba dabba doo! Could these bulging, Flintstones-style towers be the future of eco-building?
Ruggedly good-looking and greener than bricks and concrete, Petra Heights are made of three-metre slabs of rough rock. Could they herald a new stone age? Our writer fires up his Flintmobile There’s been a geological eruption on London’s Finchley Road. Great chunks of pink basalt and igneous larvikite appear to have exploded from the railway cutting, shooting skywards to form teetering towers. Anyone trying to find Finchley Road & Frognal station need wonder no more: just look for the multistorey Stonehenge. Countless apartment towers have sprouted above London’s stations in recent years, a res
Ruggedly good-looking and greener than bricks and concrete, Petra Heights are made of three-metre slabs of rough rock. Could they herald a new stone age? Our writer fires up his Flintmobile There’s been a geological eruption on London’s Finchley Road. Great chunks of pink basalt and igneous larvikite appear to have exploded from the railway cutting, shooting skywards to form teetering towers. Anyone trying to find Finchley Road & Frognal station need wonder no more: just look for the multistorey Stonehenge. Countless apartment towers have sprouted above London’s stations in recent years, a res
ETH Hits a Sell Wall Near $2,300 as Wall Street Keeps Unloading Ethereum
Ethereum trades near $2,120 below both key averages as funds sell and whales buy. See why resistance near $2,300 and support near $1,850 now decide the trend.
Ethereum trades near $2,120 below both key averages as funds sell and whales buy. See why resistance near $2,300 and support near $1,850 now decide the trend.
Why murder mysteries and cryptic crosswords go hand in hand
From Agatha Christie to a new generation of crime writers, cryptic crosswords have long held a place in murder fiction. Debut novelist and Guardian crossword setter Alys Cummings explains why the two make such natural companions
From Agatha Christie to a new generation of crime writers, cryptic crosswords have long held a place in murder fiction. Debut novelist and Guardian crossword setter Alys Cummings explains why the two make such natural companions
AI-assisted firms increase flaw disclosures by 120% with no detected repair slowdown, study finds
A Project Glasswing preprint links AI access to more disclosures while measured fixes kept pace, leaving hidden backlogs and attack prevention unresolved. Read the full story on CryptoSlate Understand the crypto stories that matter and what to watch next. Get The Catalyst in your inbox
A Project Glasswing preprint links AI access to more disclosures while measured fixes kept pace, leaving hidden backlogs and attack prevention unresolved. Read the full story on CryptoSlate Understand the crypto stories that matter and what to watch next. Get The Catalyst in your inbox
CryptoQuant reports $6.6 billion drop in USDT market cap over 60 days
🔎 $6.6 billion left the $USDT market in just 60 days, double the post-FTX drop. Continue Reading:CryptoQuant reports $6.6 billion drop in USDT market cap over 60 days The post CryptoQuant reports $6.6 billion drop in USDT market cap over 60 days appeared first on COINTURK NEWS.
🔎 $6.6 billion left the $USDT market in just 60 days, double the post-FTX drop. Continue Reading:CryptoQuant reports $6.6 billion drop in USDT market cap over 60 days The post CryptoQuant reports $6.6 billion drop in USDT market cap over 60 days appeared first on COINTURK NEWS.
Goldman Sachs: Potential selling pressure on S&P 500 futures in the next month reaches $45 billion
Bloomberg cited a Goldman Sachs model that estimated S&P 500 futures could face about $45 billion in potential selling pressure over the next month. After the U.S. stock market plummeted last week, the world […] Goldman Sachs: Potential selling pressure on S&P 500 index futures in the next month will reach US$45 billion> This article was first published in BlockTempo "Dongqu Dongzhi - the most influential blockchain news media".
Bloomberg cited a Goldman Sachs model that estimated S&P 500 futures could face about $45 billion in potential selling pressure over the next month. After the U.S. stock market plummeted last week, the world […] Goldman Sachs: Potential selling pressure on S&P 500 index futures in the next month will reach US$45 billion> This article was first published in BlockTempo "Dongqu Dongzhi - the most influential blockchain news media".
Alibaba Cloud wins China Patent Gold Award: Solving the problem of ultra-large-scale intelligent computing power scheduling in the AI era
On November 6, the 26th China Patent Awards Ceremony was held in Wuxi. The patent "A User Request Processing Method and Device" submitted by Alibaba Cloud won the China Patent Gold Award. This was the only cloud vendor to win the gold award this year. This patented technology can dynamically sense changes in computing power demand in real time, especially in response to the violent demand tides in the Internet and AI era, and achieves on-demand allocation, on-demand scaling, and safe supply of ultra-large-scale intelligent computing power—it can sustain it during peak times, recover it during troughs, and securely isolate multiple tenants. The China Patent Award is jointly selected by the State Intellectual Property Office and the World Intellectual Property Organization. It is the highest honor in the field of patents in my country. There are no more than 30 invention patent gold awards in each national selection. It is a national-level authoritative certification of corporate innovation capabilities and patent industrialization value. At present, Alibaba Cloud has deployed more than 10,000 patents around the world, covering more than ten countries and regions, focusing on core technology fields such as cloud computing, artificial intelligence, large models and chips. Solve three major problems in ultra-large-scale intelligent computing power scheduling in the AI era. Ultra-large-scale intelligent computing power clusters in the AI era are faced with violent demand tides: sudden traffic, training peaks, and inference peaks are intertwined and superimposed, continuously testing the limits of computing power elasticity. Between peaks and valleys, the demand for computing power can vary hundreds of times - according to peak configuration, a large number of resources will be idle under normal conditions; according to daily configuration, when the peak comes, there will be risks of insufficient capacity and unstable service. Therefore, the elastic unification of heterogeneous computing power, instantaneous response to dynamic loads, and safe isolation in a multi-tenant environment have become the three core challenges of ultra-large-scale computing power in the AI era. The core invention of Alibaba Cloud's patent is a new way of processing user requests. Traditional solutions rely on pre-allocating resources and passively waiting for requests, resulting in a long-term mismatch between resource configuration and real load. However, the method proposed by this patent can dynamically sense demand changes in real time and intelligently match requests with the underlying heterogeneous computing power.
On November 6, the 26th China Patent Awards Ceremony was held in Wuxi. The patent "A User Request Processing Method and Device" submitted by Alibaba Cloud won the China Patent Gold Award. This was the only cloud vendor to win the gold award this year. This patented technology can dynamically sense changes in computing power demand in real time, especially in response to the violent demand tides in the Internet and AI era, and achieves on-demand allocation, on-demand scaling, and safe supply of ultra-large-scale intelligent computing power—it can sustain it during peak times, recover it during troughs, and securely isolate multiple tenants. The China Patent Award is jointly selected by the State Intellectual Property Office and the World Intellectual Property Organization. It is the highest honor in the field of patents in my country. There are no more than 30 invention patent gold awards in each national selection. It is a national-level authoritative certification of corporate innovation capabilities and patent industrialization value. At present, Alibaba Cloud has deployed more than 10,000 patents around the world, covering more than ten countries and regions, focusing on core technology fields such as cloud computing, artificial intelligence, large models and chips. Solve three major problems in ultra-large-scale intelligent computing power scheduling in the AI era. Ultra-large-scale intelligent computing power clusters in the AI era are faced with violent demand tides: sudden traffic, training peaks, and inference peaks are intertwined and superimposed, continuously testing the limits of computing power elasticity. Between peaks and valleys, the demand for computing power can vary hundreds of times - according to peak configuration, a large number of resources will be idle under normal conditions; according to daily configuration, when the peak comes, there will be risks of insufficient capacity and unstable service. Therefore, the elastic unification of heterogeneous computing power, instantaneous response to dynamic loads, and safe isolation in a multi-tenant environment have become the three core challenges of ultra-large-scale computing power in the AI era. The core invention of Alibaba Cloud's patent is a new way of processing user requests. Traditional solutions rely on pre-allocating resources and passively waiting for requests, resulting in a long-term mismatch between resource configuration and real load. However, the method proposed by this patent can dynamically sense demand changes in real time and intelligently match requests with the underlying heterogeneous computing power.
