2025年度ACM杰出会员（Distinguished Members）出炉了！ 这一届，新晋61位计算机领域领军人物，入选为ACM杰出会员。 他们分别来自全球多个国家和地区，包括澳大利亚、比利时、加拿大、智利、中国、美国等，就职于顶尖高校、企业及研究机构。 今年入选者，因在广泛的计算研究领域的突出贡献脱颖而出，覆盖医疗 AI、计算教育、数据管理、人机交互、移动计算、网络系统、安全、软件、可持 续性等众多领域。 自2006年启动，ACM杰出会员计划专为表彰在技术成就、专业服务方面，表现卓越的ACM会员。 它仅授予全球会员中前10%的佼佼者，入选者需具备至少15年专业经验，并对计算领域产生了重大影响。 值得一提的是，今年获选者当中，有不少华人学者上榜。 ACM主席Yannis Ioannidis表示，「我们把每年新晋杰出会员的揭晓视为最重要的年度活动之一，也是为这一年画上圆满句号的绝佳方式」。 借此机会，我们向那些计算领域的创新者致敬，正是他们的努力与创造力，奠定了塑造当今世界的技术基石。 同时，对于那些因志愿服务而获此殊荣的新晋杰出会员，我们想强调的是，行业的发展离不开那些愿意牺牲个人时间、服务大众利益的同仁 ...

放弃CS专业转向AI，正成为美国年轻人选择大学的一个新趋势。MIT的AI专业成立3年便成为该校第二大专业，美国高校与AI相关的硕士与本科专业数 量更是在成倍增长，背后原因很简单：学AI更容易找到工作。 在旧金山的一次晚餐上，一位科技大厂的工程师说他刚被裁员。 大约过了5分钟，邻桌一个人拍了拍他肩膀，说：「我也是。我的经理告诉我：我的工作被AI取代了」。 这是一位网友亲身经历的一幕，在当今的硅谷裁员风暴中，类似情形早已司空见惯。 这一切背后，是计算机科学（CS）神话的落幕。 过去的十几年间，CS学位一度是通往成功的入场券。 然而短短几年，CS专业却登上了美国大学专业失业率排行榜，失去了往昔的光环。 UC Berkeley教授Hany Farid表示，「以往CS专业学生毕业时手握多个offer，所向披靡，但如今能拿到一个工作offer就已经很高兴了。」 当CS遭遇就业焦虑，AI专业却逆势上行，成为美国高校最火的「爆款专业」： 2022年设立的「人工智能与决策」专业，已成为MIT第二大热门专业； 南佛罗里达大学（USF）新建「AI与网络安全学院」，首学期就迎来3000多名学生注册； 加州大学圣迭戈分校（UCSD）启 ...

Core Insights - Bill Gates is described as a "lucky person" due to various privileges that contributed to his success, including a wealthy background, quality education, and the timing of the semiconductor boom [2][5] - Gates' journey from a rebellious teenager to the founder of Microsoft is marked by significant moments, including his early programming experiences and the eventual creation of the first software for personal computers [3][6] Background and Early Life - Gates was born in 1955 in Seattle to a well-off family, with a father who was a prominent lawyer and a mother involved in charitable work [7] - He attended Lakeside School, a private institution with a tuition of $1,400 per year, which was a significant investment at the time [7][8] - Gates' parents emphasized education and social skills, encouraging him to participate in family gatherings and discussions, which exposed him to adult conversations about finance and business [8] Education and Programming Beginnings - The introduction of computers at Lakeside School in 1968 was a pivotal moment for Gates, allowing him to gain early access to programming [9][10] - Gates created his first computer program, a tic-tac-toe game, during his time at Lakeside, which sparked his passion for programming [9][10] - He later worked on a payroll management program for a local company, marking his first practical application of programming skills [11] Transition to Microsoft - Gates dropped out of Harvard University to pursue his passion for software development, a decision that aligns with the paths of other tech leaders like Steve Jobs and Elon Musk [13] - The release of the Altair 8800 microcomputer in 1975 presented a significant opportunity for Gates and his partner Paul Allen to develop software, leading to the founding of Microsoft [14][16] - Microsoft quickly gained traction by providing customized BASIC software for various personal computers, establishing itself as a key player in the tech industry [17] Legacy and Reflection - Gates acknowledges the role of luck and external factors in his success, emphasizing that his story is shaped by unique circumstances beyond his control [5][6] - Despite his achievements, Gates maintains a connection to his early experiences and the mindset of curiosity and exploration that defined his youth [17]

Core Insights - The once-promising job market for computer science graduates is rapidly deteriorating, with many now facing unemployment or underemployment due to the rise of AI and significant layoffs in major tech companies [5][11][12]. Group 1: Job Market Trends - Computer science has become the seventh highest major for unemployment in the U.S., with a rate of 6.1% [5][12]. - The demand for entry-level software engineering positions is declining as AI programming tools automate many coding tasks [18][20]. - Graduates are experiencing a stark contrast to previous years, where high salaries and numerous job offers were the norm [11][12]. Group 2: Graduate Experiences - Many graduates report applying to hundreds or even thousands of jobs, often receiving no responses or being ghosted by employers [15][18]. - A specific case highlighted is that of a graduate who applied for 5,762 tech positions but received no full-time offers [15]. - The emotional toll of the job search process is significant, with many feeling disillusioned and frustrated by the lack of opportunities [15][17]. Group 3: Shift in Educational Focus - There is a notable shift from promoting coding skills to embracing AI technologies, with influential figures now advocating for AI education [20][21]. - Companies like Microsoft are investing heavily in AI skills training for students and professionals, indicating a strategic pivot in workforce development [21][22]. Group 4: Alternative Career Paths - Some graduates are finding success in non-traditional roles, such as sales and marketing within tech companies, rather than pursuing pure coding jobs [24]. - The adaptability of graduates to explore diverse skill sets is becoming increasingly important in navigating the current job landscape [24].

Core Viewpoint - The article discusses the challenges faced by recent computer science graduates in the U.S. job market, highlighting a significant increase in unemployment rates and the impact of AI on job opportunities in the tech industry [6][10][19]. Group 1: Job Market Trends - Since 2025, the U.S. IT job market has been experiencing a downturn, with the Bureau of Labor Statistics (BLS) revising down job growth figures for May and June, indicating a continued decline in job openings [7][10]. - The total number of IT jobs has decreased by 26,500 this year, significantly higher than the 6,200 job losses in the same period last year [7][8]. - The unemployment rate for the IT sector reached 5.5% in June, surpassing the national average of 4.2% [10]. Group 2: Impact of AI on Employment - The proliferation of AI programming tools has led to a reduced demand for entry-level software engineering positions, which are typically sought after by recent graduates [5][12]. - Many tech companies are adopting AI systems to screen resumes and conduct initial interviews, making it more challenging for candidates to stand out [13][19]. - Graduates report feeling trapped in a cycle where they must use AI tools to apply for jobs, while companies use AI to filter out applicants, creating a paradoxical situation [13][18]. Group 3: Graduate Experiences - Recent graduates have shared their frustrations, with some applying to thousands of positions without success, leading to feelings of despair and disillusionment [11][12]. - The job application process has become increasingly difficult, with many candidates facing automated assessments and AI interviews that lack human interaction [11][20]. - Some graduates express a preference for not participating in AI interviews, feeling that it undermines their dignity and the value of human interaction in the hiring process [15][17].

Core Viewpoint - The article emphasizes that while AI tools can assist in programming, they cannot replace the need for deep understanding and expertise in computer science to produce high-quality code [3][5][6]. Group 1: AI Programming Experience - The author shares experiences with various AI programming tools, highlighting that non-programmers are unlikely to successfully complete projects using AI alone [3]. - Despite generating over 60,000 lines of code with Cursor, the author only accepted around 5,000 lines due to frequent errors and misunderstandings by the AI [3]. - The complexity of AI-generated code often leads to confusion and the need for extensive corrections, indicating that AI struggles with even simple functions [3][5]. Group 2: Limitations of AI - The article argues that AI cannot produce "high-level" code due to the mediocre quality of the training data it relies on, which primarily consists of average programmers' work [5]. - The distinction between computer scientists and programmers is emphasized, with the assertion that AI may replace ordinary programmers but cannot substitute for computer scientists [5]. Group 3: AI as a Tool - AI is viewed as a valuable tool that can enhance productivity, but it is limited to amplifying existing skills rather than compensating for a lack of knowledge [6]. - The author acknowledges the benefits of using AI for problem-solving but stresses that without foundational skills, AI's effectiveness is nullified [6].

Core Viewpoint - Nvidia's CEO Jensen Huang stated that China's computer science capabilities are "world-class," particularly in software development [1] Group 1 - The emphasis on China's software capabilities highlights the country's growing influence in the global tech landscape [1] - Huang's remarks suggest potential collaboration opportunities between Nvidia and Chinese tech firms [1] - The acknowledgment of China's strengths may impact Nvidia's strategic decisions in the region [1]

Core Viewpoint - The job market for Generation Z is filled with contradictory signals, with entry-level positions disappearing while CEOs complain about talent shortages. The key to job security lies in acquiring the right skills [1][2]. Skills Gap and Workforce Needs - Companies are facing a skills gap in specific areas and urgently need young talent to fill these roles [2]. - Essential skills include networking, coding, programming, financial management, and project management [3][4]. Education and Training - Many schools are failing to provide adequate training in these critical areas, which hampers the development of the next generation of programmers and project managers [5]. - Education should focus on whether students can secure jobs after graduation, rather than solely on college graduation rates [6]. Importance of Computer Science Education - There is a strong belief in the necessity of students learning programming, especially in light of advancements in generative AI technologies [8]. - Over 250 CEOs, including leaders from Microsoft and Airbnb, signed a letter advocating for all students to receive education in computer science and artificial intelligence [8][9]. - A study from the University of Maryland found that students who take computer science courses in high school earn an average of 8% more in their first job [10]. Soft Skills and Character - Generation Z often struggles with workplace readiness, particularly in areas like professionalism, organizational skills, and communication [11]. - Companies prioritize character over technical expertise when hiring, emphasizing the importance of being smart, ethical, and having good character [13][14].

Core Viewpoint - The article emphasizes the significant impact of artificial intelligence (AI), particularly generative AI, on various industries and the increasing demand for AI-related content and research. Springer Nature is actively embracing these trends by publishing insightful research and developing AI tools and services to enhance academic and industrial collaboration [1]. Group 1: AI Resources and Services - Springer Nature is set to launch a new collection of AI books in 2025, covering topics from machine learning algorithms to neural network research impacting healthcare. This collection aims to provide a comprehensive resource for researchers, educators, and professionals [2]. - The AI book collection includes diverse resources such as monographs, conference proceedings, textbooks, and manuals, catering to different levels of readers and facilitating a deeper understanding of the rapidly evolving AI field [2]. Group 2: Core Research Areas - The AI book collection focuses on core research areas, including machine learning, deep learning, natural language processing, computer vision, and AI ethics, among others [3]. Group 3: AI-Driven Services - Springer Nature offers AI-driven services, including text and data mining (TDM) tools that help researchers extract valuable information from large datasets, enhancing their ability to discover patterns that traditional analysis may miss [46]. - The Methods Muse platform simplifies experimental design and optimization for life sciences research, integrating with protocols.io to streamline the research process [50]. - Nature Research Intelligence provides data-driven insights to help academic, governmental, and corporate researchers make informed decisions, track research trends, and enhance their academic impact [53][55].

Core Viewpoint - Over 250 CEOs from major U.S. companies have called for AI and computer science to be core subjects in K-12 education, emphasizing the need to prepare children to be "creators" of AI rather than just consumers [1] Group 1: Signatories and Their Influence - Notable signatories include Satya Nadella (Microsoft), Dara Khosrowshahi (Uber), and Josh Silverman (Etsy), highlighting the involvement of influential tech and business leaders [1] - The letter reflects a collective concern from industry leaders about the U.S. falling behind other countries like China, Brazil, South Korea, and Singapore, which have already made such courses mandatory [1] Group 2: Educational Imperatives - The letter stresses the importance of equipping students with foundational knowledge in computer science and AI as essential skills for thriving in a technology-driven world [1] - It points out the shortcomings of the current U.S. education system in preparing students for the future, advocating for a shift in educational priorities [1]