Market Overview - In the last 24 hours, a total of 75,226 people were liquidated, with a total liquidation amount of $165 million [1] - Increased volatility was observed on Monday, with a recommendation to remain patient during the day [1] - The liquidity over the weekend was at its lowest in nearly a month, indicating a potential increase in demand this week [1] Bitcoin (BTC) Analysis - BTC has been trading in a narrow range between 9.04 and 9.15 for nearly five days, indicating limited profit opportunities [2] - Key resistance levels are at 9.26 and 9.44, with today's resistance between 91,750 and 92,400; a breakthrough at 92,650 could lead to levels of 93,850 to 94,250 [2] - Support levels are at 9.04 and the previous low of 8.92; as long as these levels hold, there is potential for upward movement towards 94,000 [2] Ethereum (ETH) Analysis - ETH has been oscillating in a narrow range between 3,133 and 3,060 for several days, with a bullish breakout above 3,133 [4] - Resistance levels are identified at 3,212 and 3,300, while support remains at 3,060 and 3,000 [4] - A strategy is suggested to short at 3,212 with a stop-loss at 3,415, and to long at 3,060 with a target of 3,133 and 3,180 [4] BCH Market Sentiment - BCH has shown a bullish signal on the weekly chart, with a previous similar signal leading to a 100% increase after 77 days; currently, it has been consolidating for 49 days [6] - If market sentiment improves, BCH is expected to follow BTC's lead, with a conservative estimate of a 50% upward movement potential [6] LISA Incident - LISA experienced a significant drop of over 90% within 30 minutes, indicating a market manipulation scenario where market makers controlled the price [8] Upcoming Economic Events - A series of important economic events are scheduled, including U.S. government shutdown risks, Federal Reserve officials' statements, and major financial reports from Morgan Stanley, BlackRock, and Goldman Sachs [9] ZEC Technical Analysis - ZEC is currently oversold, sitting at a previous low structure, suggesting a potential for a rebound; however, concerns about the development team's reliability exist [12] CAI Project Overview - CAI has a total supply of 100 million tokens, with an initial circulation of 16.86%; the project claims to have over 30 million monthly active users and cumulative revenue of $18 million [15] - However, there are significant concerns regarding the project's transparency and past performance, with low credibility of disclosed information [15]

Group 1 - A total of 75,226 people were liquidated globally in the last 24 hours, with a total liquidation amount of $165 million [1] - The cryptocurrency market is experiencing increased volatility, with a strong demand expected to emerge this week [1] - Bitcoin (BTC) and Ethereum (ETH) holders are advised to hold their positions as long as their stop-loss levels are not breached [1] Group 2 - Bitcoin (BTC) has been trading in a narrow range between 9.04 and 9.15 for nearly five days, indicating limited profit opportunities [2] - Ethereum (ETH) has been oscillating in the range of 3133-3060, with potential resistance levels at 3212 and 3300 [4] - BCH has shown a bullish signal on the weekly chart, suggesting a potential upward movement of around 50% if market sentiment improves [7] Group 3 - The upcoming week has several important economic events, including U.S. government shutdown risks and key financial reports from major institutions [6] - LISA has experienced a significant crash, dropping over 90% in 30 minutes, indicating potential market manipulation [9][10] - ZEC is currently oversold, but concerns about the development team's reliability may hinder a potential rebound [12]

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Core Viewpoint - The 2025 WAIC Cloud Sail Awards ceremony was held in Shanghai, celebrating the achievements of young AI talents and fostering collaboration among industry leaders, academic innovators, and top investors in the AI sector [1][2]. Group 1: Event Overview - The 2025 WAIC Cloud Sail Awards ceremony took place during the World Artificial Intelligence Conference, highlighting the contributions of over 150 key figures in AI from academia, industry, and investment [1]. - The event was co-hosted by the Shanghai Artificial Intelligence Laboratory, Machine Heart, and the Global Academic Alliance for Artificial Intelligence, with support from various institutions [1]. Group 2: Award Recipients - The ceremony announced the winners of the "Brilliant Star" and "Tomorrow Star" awards, recognizing outstanding contributions in the AI field [2]. - The introduction of the "Nomination Award" aims to enhance the talent ecosystem within the Cloud Sail community [6]. Group 3: Notable Award Winners - Chen Jianyu, with over 10 years of experience in robotics and AI, has published over 70 papers and was recognized in Forbes China's "30 Under 30" [14]. - Gao Yang, known for his work in embodied intelligence and reinforcement learning, has co-founded a company focusing on humanoid robots and has received significant recognition for his research [16]. - He Conghui, a young scientist at the Shanghai Artificial Intelligence Laboratory, has published over 100 papers and created a major open data platform [18]. - Liu Bang, a professor at the University of Montreal, has made significant contributions to natural language processing and multimodal learning [20]. - Qiao Chang, focusing on intelligent photonics, has developed innovative neural network architectures for optical imaging [22]. - Wang Xiang, recognized for his work in information recommendation and large models, has received multiple prestigious awards [24]. - Wu Yi, a former OpenAI researcher, has made notable contributions to reinforcement learning and multi-agent systems [26]. - Xie Weidi, a professor at Shanghai Jiao Tong University, has published extensively in computer vision and medical AI [28]. - Zhang Chen, focusing on intelligent processor architecture, aims to optimize AI hardware design [30]. - Zhao Hengshuang, an assistant professor at the University of Hong Kong, has published over 100 papers in computer vision and machine learning [34]. Group 4: Additional Award Winners - Chen Tianlong, an assistant professor at the University of North Carolina, specializes in machine learning systems and has received numerous awards for his research [37]. - Chen Xiaokang, a researcher at DeepSeek AI, has led successful multimodal projects with significant industry impact [39]. - Cui Ganqu, focusing on alignment and reinforcement learning in large language models, has published extensively in top AI conferences [41]. - Fu Zhaoyou, recognized for his work in multimodal intelligence, has received multiple awards for his research contributions [43]. - Gong Ruihao, a vice director at SenseTime, has published over 40 papers in efficient machine learning systems [45]. - Gu Jiayuan, focusing on embodied intelligence and 3D vision, has received best paper awards at major conferences [47]. - Li Yanwei, a research scientist at ByteDance, has made significant contributions to visual language models [49]. - Long Xiaoxiao, an associate professor at Nanjing University, has led research in 3D reconstruction and neural rendering [51]. - Luo Yuyu, an assistant professor at Hong Kong University of Science and Technology, focuses on data-centric AI and has received multiple accolades [53]. - Tang Xiangru, researching multi-agent systems for biomedical applications, has published in top-tier journals [55]. - Wang Jingbo, a young scientist at the Shanghai Artificial Intelligence Laboratory, has made significant contributions to humanoid robotics [57]. - Yu Lijun, a senior research scientist at Google DeepMind, focuses on video generation and reinforcement learning [59]. - Zhang Linfeng, an assistant professor at Shanghai Jiao Tong University, specializes in efficient AI and has received multiple academic honors [61].