Core Points - The Chinese Academy of Sciences and the Chinese Academy of Engineering announced the results of the 2025 academician elections, with several professors from Shandong University being elected [1]. Group 1: New Academicians - Liu Jianya, a chair professor at Shandong University, was elected as an academician of the Chinese Academy of Sciences [3]. - Liang Zuotang, also a chair professor at Shandong University, was elected as an academician of the Chinese Academy of Sciences [7]. - Zhang Youming, a chair professor at Shandong University, was elected as a foreign academician of the Chinese Academy of Engineering [11]. Group 2: Contributions of New Academicians - Liu Jianya has made significant contributions to analytic number theory, focusing on the Riemann hypothesis and prime distribution, and has received multiple prestigious awards [4]. - Liang Zuotang has conducted research in strong interaction theory and has proposed models that have been validated by major international experiments [8]. - Zhang Youming is known for his work in genome editing technology, which has been widely adopted globally and has shown significant results in agricultural applications [11]. - Arokia Nathan, a chair professor at Shandong University, has made advancements in nano-optical materials and devices, contributing to the field of bioelectronics [13]. - Adi Shamir, an honorary doctor from Shandong University, is recognized for his foundational contributions to cryptography, particularly the RSA algorithm, and has received numerous accolades [17].

可怕。小鱼·币币机 | Croath (@cr0ath):我所经历过的私钥生成投毒攻击事件2018 年我主导了一个社区开源项目，是 EOS SDK 的 Swift 实现（大家不要用，已经 6 年没有维护过了），使用的苹果自带的密码学框架提高安全等级。 https://t.co/OBjTe40nY1 ...

Core Insights - The core of cryptocurrency lies in cryptographic security mechanisms, relying on three main pillars: hash functions, asymmetric encryption, and consensus mechanisms [1] - Major categories of cryptocurrencies include native cryptocurrencies like Bitcoin, stablecoins like USDT and USDC, and platform tokens like Ethereum that support smart contracts [3] - Global regulation of cryptocurrencies has shifted from ambiguity to structured frameworks, with the EU's MiCA Act and the US's GENIUS Act establishing clearer guidelines [3] Group 1 - Cryptocurrencies are categorized into three types: native cryptocurrencies with a fixed supply, stablecoins pegged to fiat currencies, and platform tokens for decentralized applications [3] - The EU's MiCA Act requires stablecoin issuers to hold 100% reserve assets, while the US's GENIUS Act brings stablecoins under federal regulation [3] - Countries are focusing on anti-money laundering measures, requiring service providers to conduct customer due diligence [3] Group 2 - The price of cryptocurrencies is highly influenced by market sentiment and lacks actual value support, making them high-risk digital assets rather than currencies [3] - Understanding the asset attributes and regulatory boundaries of cryptocurrencies is more important for the general public than chasing short-term gains [4]

- The report does not contain any quantitative models or factors.

Group 1 - The rapid iteration of artificial intelligence is profoundly impacting education, making digitalization a strategic priority for building a strong education system in China [1] - AI safety has become a global focus, with cryptography being a core support for addressing security issues. AI can assist in cryptographic analysis, while cryptographic techniques can enhance AI security [1] - The integration of AI and cryptography is essential for establishing a secure defense for AI systems, while also driving innovation in cryptographic algorithms to meet the challenges of the intelligent era [1] Group 2 - The ideal future education should possess "3E" characteristics: more effective, more efficient, and more engaging, shifting the focus from group-centered to individual learner-centered approaches [2] - The design of immersive and gamified learning experiences is crucial for enhancing motivation and learning outcomes, emphasizing the importance of visual and interactive elements [2] - NetDragon has established the Edmodo Academy (EDA) to promote educational equity and a new ecosystem of technology-enabled global collaboration in education [2] Group 3 - High-quality datasets are essential for empowering smart education and driving the development of artificial intelligence, as data has become a new production factor in the digital economy [3] - Recommendations include setting clear construction goals based on actual needs, improving standards and norms, and innovating institutional mechanisms to foster a thriving industrial ecosystem [3]

Group 1 - The event "粤港澳大湾区人才港大讲堂" focused on the theme of "Digital Era: New Opportunities for Digital Talent and Digital Economy in the Guangdong-Hong Kong-Macao Greater Bay Area" and attracted nearly 400 participants from various sectors including AI, finance, and blockchain [1][4] - Academician Wang Xiaoyun emphasized the foundational role of cryptography in the digital economy, stating that safeguarding cryptography is essential for national security and the digital lives of citizens [1][3] - The event highlighted the significant gap in the market for composite talents who possess both cutting-edge technical understanding and industry solution capabilities, indicating a need for a holistic approach to talent cultivation [3][4] Group 2 - Guangdong has implemented 16 measures to accelerate digital talent cultivation, focusing on talent aggregation, training, evaluation mechanism innovation, and optimizing the digital talent ecosystem [4][6] - The province promotes a "dual system" model for practical training by encouraging collaboration between digital industry enterprises and educational institutions, aiming to enhance real-world skills [4][6] - The event served as a platform for high-level exchanges, aiming to activate the regional digital ecosystem through knowledge sharing and aligning with local digital industry needs [6]

Core Insights - The 27th China Association for Science and Technology (CAST) annual meeting has released significant scientific and engineering challenges for 2025, marking the eighth year of this initiative [1] - This year, the selection process for major issues has shifted from collecting problems through various societies to nominations by scientists, emphasizing a more strategic approach [1] Group 1: Key Scientific Issues - The ten major scientific issues include a focus on "new theories and protective systems for AI security from a cryptographic perspective," highlighting the growing importance of security in AI development [2] - Cryptography is proposed as a means to create verifiable security measures for AI-generated content, addressing concerns over authenticity and privacy [2] Group 2: Engineering and Technical Challenges - One of the engineering challenges is the development of a "smart network technology system for communication and intelligence integration," which aims to reduce resource consumption in communication systems [3] - The establishment of a data-driven new drug development system is highlighted, potentially shortening the drug development timeline from over 10 years to 3-7 years, enhancing China's capabilities in precision medicine [3] - The challenge of "next-generation low-energy, low-cost carbon capture and storage technology" aims to support low-carbon utilization of fossil fuels, targeting reductions in CO2 emissions from power plants and industrial sources [3] Group 3: Strategic Focus - The initiative aims to align with national strategic needs, encouraging researchers to focus on original and leading-edge solutions to bolster high-quality technological development [4]

Group 1: Core Insights - The 27th China Association for Science and Technology annual meeting released 30 significant scientific and engineering challenges, focusing on future technology development trends [1][2] - Many of the identified challenges involve the intersection of artificial intelligence with various disciplines, highlighting the growing importance of AI in scientific research [2][3] Group 2: Key Scientific Issues - The top scientific issue identified is the development of a new theoretical framework and protective system for AI security based on cryptography, addressing the increasing security concerns in AI applications [2] - The challenges in the communication field include theoretical, intelligent, and flexible bottlenecks, with the proposed "intelligent simplified network technology system" aiming to enhance communication efficiency through AI integration [3] Group 3: Engineering and Industrial Challenges - The "brain function assessment and brain-machine intelligent closed-loop intervention" challenge aims to improve recovery efficiency for stroke patients through AI and multimodal neuroimaging technologies, potentially leading to advancements in related industries [3] - The initiative also emphasizes collaboration between strategic scientists and young technology talents, fostering the development of innovative solutions to meet national needs [4]

Core Insights - The article discusses the mystery surrounding the identity of Satoshi Nakamoto, the creator of Bitcoin, and the evolution of Bitcoin from its inception to its current state [3][4][6]. Group 1: Bitcoin's Origins and Ideals - Bitcoin was introduced in 2008 through a white paper that combined proof-of-work mechanisms, public-key cryptography, and peer-to-peer network architecture to create a decentralized digital currency [1]. - The concept of Bitcoin emerged from a group known as "Cypherpunks," which included both hippies and libertarians who were united by their discontent with the traditional financial system following the 2008 financial crisis [4][6]. Group 2: The Decline of Bitcoin's Ideals - Despite its initial promise, Bitcoin has devolved into a platform for speculation, fraud, money laundering, and black market transactions, undermining its original ideals of anonymity and decentralization [6]. - The failure of Bitcoin is attributed not to technical issues but to social problems, as idealists have fragmented into opposing factions, allowing opportunists to exploit the system [6]. Group 3: The Search for Satoshi Nakamoto - The book "The Mysterious Mr. Nakamoto" chronicles a 15-year quest to uncover Nakamoto's identity, highlighting the challenges faced in this pursuit [3][8]. - Various theories about Nakamoto's anonymity are explored, including the notion that his significant Bitcoin holdings may pose a risk of kidnapping, and the idea that a clear leader would contradict the decentralized nature of Bitcoin [6][8]. - The investigation ultimately fails to reveal Nakamoto's true identity, with attempts at stylometry leading to inconclusive results and a sense of an elusive mystery [6][8].

Core Viewpoint - The article highlights the achievements of Liu Jianya, a mathematician from Shandong University, who received the provincial science and technology award for his contributions to number theory and the advancement of basic scientific research in China [1][3]. Group 1: Achievements and Contributions - Liu Jianya has dedicated over thirty years to the field of number theory, significantly enhancing China's position in this area of research [1][3]. - His work includes breakthroughs in prime number distribution and self-adjoint forms, which have garnered international recognition [3][4]. - The legacy of number theory at Shandong University dates back to 1962 when former president Pan Chengdong solved a quantitative problem related to the Goldbach conjecture, marking a significant moment in the international mathematics community [3]. Group 2: Philosophy of Basic Science - Liu emphasizes that basic science is driven by curiosity rather than immediate practical applications, citing historical examples such as Einstein's theory of relativity and the origins of quantum mechanics [4][5]. - He argues that the pure exploration of number theory has practical implications, particularly in the field of cryptography, which is essential for securing personal financial information [4]. Group 3: Future Directions and Commitment - Liu expresses gratitude for the supportive environment for original innovation fostered by the provincial government and the academic traditions of Shandong University [5]. - He advocates for the cultivation of young scholars, emphasizing the importance of keen insight and patience in research [5]. - Liu commits to continuing the promotion of scientific inquiry and education, aiming to address frontier challenges and facilitate the transformation of research outcomes [5].