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AI may be denting computer science graduates’ job prospects, UK data shows | Students | The Guardian

UK graduate data indicates that artificial intelligence may be reshaping entry-level opportunities in computer science and economics. Coding and software development ranked among the fastest-declining occupations for graduates last year, while demand also dropped for economists and management consultants. Data from the Guardian University Guide shows the share of computer science graduates entering professional coding or programming jobs fell from about 40% to 28% last year. The proportion entering any graduate-level role decreased from more than 60% two years earlier to 50%. Experts say AI is one possible factor and that the trend aligns with an industry adapting as AI tools generate software and analysis more quickly. Charlie Ball, head of labour market intelligence at Jisc, the UK’s data and technology agency for education and research, said there were signs that computer science graduates were diversifying into related roles including cybersecurity and network engineering. Pure coding roles were particularly scarce in 2025. Finance employers are also revising their expectations, with many seeking recruits who understand AI tools. The University of Birmingham now allows undergraduates to add an intercalated year in subjects including AI and data science, even without the usual prerequisites.

KAIST study flags 24,000 online accounts suspected of foreign-linked influence

KAIST study flags 24,000 online accounts suspected of foreign-linked influence

A recent study by the Korea Advanced Institute of Science and Technology (KAIST) has identified approximately 24,000 online accounts suspected of being linked to foreign influence operations aimed at exacerbating political divisions in South Korea. Utilizing advanced artificial intelligence (AI) technology, the research team developed a tool that not only flags suspicious accounts but also provides explanations for its assessments, enhancing transparency in the process. The study analyzed a staggering 112.66 million comments from Naver’s news articles spanning nearly two decades, focusing on patterns indicative of coordinated manipulation. The AI system examined various factors, such as emotional expressions, geographical indicators, and the nature of comments, revealing a trend where these accounts often targeted both conservative and liberal politicians without favoring any specific ideology. This behavior raises concerns about the potential for foreign entities to influence domestic political discourse. The findings suggest that these accounts frequently employed morally charged language to criticize Korea and its leaders, particularly during election periods. The researchers emphasize that while the AI tool can aid in identifying potentially harmful content, it should complement expert judgment rather than serve as an automatic censorship mechanism. This innovative approach highlights the critical role of data science and AI in understanding and mitigating the impact of online misinformation and foreign influence in democratic societies.

Vietnam's VinSpace signs deal with Elon Musk's SpaceX to launch its first satellites in 2027

Vietnam's VinSpace signs deal with Elon Musk's SpaceX to launch its first satellites in 2027

Vietnam's aerospace sector is taking a significant leap forward with VinSpace's recent announcement of a contract with SpaceX to launch its first satellites in 2027. This collaboration marks a pivotal moment for the Southeast Asian nation as it seeks to establish a foothold in the global space industry. By utilizing SpaceX's Transporter rideshare mission, VinSpace aims to test its satellite technology in orbit while also exploring future commercial applications. Founded in 2025 as part of the Vingroup conglomerate, VinSpace is poised to contribute to Vietnam's ambition of becoming a mid-level space power in Southeast Asia by 2030. The company is focused on developing a comprehensive aerospace capability, which includes satellite design, manufacturing, and operations. This initiative aligns with Vietnam's broader goals of advancing its high-tech industries, including artificial intelligence and robotics, as it strives to emerge as Asia's next economic tiger. Vietnam's journey into space began with the launch of its first telecommunications satellite in 2008, and the establishment of a major space science and technology center in Hanoi further underscores its commitment to expanding satellite development. With the support of SpaceX and a vision for reliable access to space, VinSpace is set to play a crucial role in transforming satellite innovation into operational missions, ultimately enhancing Vietnam's position in the global aerospace landscape.

Tamil Nadu Teen, 17, Wins Rs 3.55 Crore Scholarship To Study At Ivy League’s Brown University

Tamil Nadu Teen, 17, Wins Rs 3.55 Crore Scholarship To Study At Ivy League’s Brown University

At just 17 years old, Pranav Ilango from Erode, Tamil Nadu, is set to embark on an exciting journey to Brown University, thanks to a remarkable scholarship valued at approximately Rs 3.55 crore. This prestigious Ivy League institution has recognized Pranav's exceptional academic achievements, including his distinction as a World Topper in IGCSE Mathematics. His interests lie at the intersection of mathematics, technology, and problem-solving, particularly in the realms of artificial intelligence and data science. Pranav's ambitions at Brown focus on exploring the synergy between public health and applied mathematics. He aims to leverage data and technology to tackle pressing public health challenges, especially those impacting underserved communities. The university's interdisciplinary approach to applied mathematics and its robust public health curriculum will provide him with the tools necessary to analyze complex systems and develop data-driven solutions. Beyond academics, Pranav's journey has been shaped by mentorship and leadership development programs, which have instilled in him a sense of purpose. His story is not just about securing a scholarship; it reflects a broader trend among Indian students who aspire to blend technology and social impact. As he transitions from Erode to an Ivy League campus, Pranav is poised to make significant contributions to public health through innovative applications of data science.

Vietnam wins seven medals at 3rd International Olympiad in artificial intelligence

Vietnam wins seven medals at 3rd International Olympiad in artificial intelligence

Vietnam recently made a remarkable showing at the third International Olympiad in Artificial Intelligence (IOAI) held in Astana, Kazakhstan, where seven out of eight contestants earned medals. The team secured two gold, one silver, and four bronze medals, highlighting the nation’s growing prowess in the field of artificial intelligence. The competition took place from August 2 to 8, and the achievements of these young students reflect their dedication and talent in a rapidly evolving discipline. Among the gold medalists were Nguyen Viet Trung Nhan and Nguyen Huu Tuan, both high school students from the University of Science in Hanoi. Their accomplishments, along with the silver medal won by Nguyen Anh Hung, underscore the strong foundation of AI education in Vietnam. The bronze medals were awarded to four other talented students from various prestigious schools, showcasing a diverse pool of skills and knowledge across the country. The IOAI attracted 471 participants from 108 teams globally, emphasizing the competitive nature of the event. The rigorous challenges required contestants to demonstrate proficiency in data analysis, programming, and model optimization, alongside a solid understanding of machine learning concepts. This success not only affirms Vietnam's position in the global AI landscape but also reflects the effectiveness of the country’s educational initiatives aimed at fostering innovation and technological advancement.

Securing Modern AI In A Machine-Versus-Machine World

Securing Modern AI In A Machine-Versus-Machine World

In today's rapidly evolving landscape of artificial intelligence and data science, the cybersecurity realm faces unprecedented challenges. As malicious actors increasingly employ autonomous AI systems for attacks, defenders must adapt by leveraging their own AI-driven tools. This shift from AI-assisted to fully automated threats necessitates a comprehensive reevaluation of cybersecurity strategies, as traditional methods may no longer suffice in the face of such advanced tactics. Companies like Cisco and Hewlett Packard Enterprise are at the forefront of this transformation. Cisco, for instance, has significantly enhanced its cybersecurity offerings by integrating AI into its infrastructure, developing solutions that prioritize vulnerabilities without disrupting operations. Their innovative features, such as Live Protect, exemplify the need for real-time responses to emerging threats, showcasing a proactive approach to security. Hewlett Packard Enterprise, on the other hand, emphasizes resilience in its cybersecurity strategy. By launching HPE Threat Labs, the company aims to stay ahead of evolving cyber threats, particularly those utilizing automation. Their focus on zero trust and dynamic network access control reflects a commitment to safeguarding data across diverse environments, ensuring robust protection against sophisticated attacks. As the landscape continues to change, the collaboration between AI technology and cybersecurity will be crucial in securing our digital future. Organizations must embrace these advancements to effectively combat the growing tide of cyber threats.

IIT Delhi Convocation on Aug 8; PM Modi to address graduates, unveil AI supercomputer

IIT Delhi Convocation on Aug 8; PM Modi to address graduates, unveil AI supercomputer

On August 8, Prime Minister Narendra Modi will address the 57th convocation of the Indian Institute of Technology (IIT) Delhi, marking a significant occasion for over 3,000 graduating students. Among them are 587 PhD scholars who will receive their degrees during the ceremony. The event not only celebrates academic achievements but also highlights India's commitment to advancing research in artificial intelligence and data science. A key feature of the convocation will be the inauguration of the Param Pragya supercomputing facility at the Sonipat campus. This AI-powered supercomputer is designed to enhance IIT Delhi's capabilities in high-performance computing, enabling groundbreaking research across various disciplines. The facility aims to support computationally intensive projects, fostering innovation in emerging technologies. As part of the ceremony, the Prime Minister will present prestigious awards, including the President’s Gold Medal and the Director’s Gold Medal, to students who have excelled academically. This recognition underscores the importance of academic excellence in driving technological advancements. The combination of honoring graduates and launching a state-of-the-art supercomputing facility reflects a broader vision for enhancing India's research infrastructure in the fields of data science and artificial intelligence.

TN Agri Budget: Govt bets on AI, Machine Learning to deliver real-time assistance to farmers

TN Agri Budget: Govt bets on AI, Machine Learning to deliver real-time assistance to farmers

The Tamil Nadu government has launched an innovative initiative called the 'Uzhavar AI scheme' as part of its Agriculture Budget for 2026-27. This program aims to leverage Artificial Intelligence (AI) and Machine Learning (ML) to provide real-time, data-driven assistance to farmers throughout the state. With an allocation of ₹2 crore, the scheme will deliver comprehensive technical advisories via mobile devices, covering the entire crop cycle from sowing to harvest. Farmers will receive localized weather forecasts, soil health management tips, alerts for pest outbreaks, and tailored crop recommendations based on current agro-climatic conditions. To enhance accessibility for rural farmers, the government is introducing 'Voice-First Agriculture Services.' This feature allows farmers to access vital agricultural information and market intelligence through voice queries on their mobile phones, bridging the gap between technology and traditional farming practices. The initiative signifies a shift from subsistence farming to a more technology-driven model focused on farmer prosperity. Additionally, the budget includes provisions for Soil Health Cards for approximately three lakh farmers, along with investments in physical infrastructure to support technology dissemination. Eight new Integrated Agricultural Extension Centres will be established, providing a one-stop facility for technical advisories and modern farming practices. The government emphasizes that timely information is crucial for agricultural success, aiming to ensure fairness and efficiency in scheme implementation through data-driven tools.

Global AI Funding Increases More than 3-Fold YoY Led by Billion-Dollar Rounds

Global AI Funding Increases More than 3-Fold YoY Led by Billion-Dollar Rounds

In the first half of 2026, global equity funding for artificial intelligence (AI) companies soared to an unprecedented $387.5 billion, marking a staggering 239.3% increase from the previous year. This surge was largely driven by substantial investments in growth and late-stage startups, which are focusing on enhancing their computing infrastructure, developing AI models, and expanding their product offerings. Notably, the second quarter alone accounted for $149.5 billion in funding, despite a decline from the first quarter. A significant contributor to this funding boom was Anthropic, which secured a remarkable $65 billion in its Series H round, representing 44% of all AI equity funding for that quarter. Founded by former OpenAI executives, Anthropic has gained traction with its Claude AI models, catering to major enterprises like PwC and Stripe. The company is on track to achieve a 130% revenue increase, anticipating $10.9 billion in Q2 2026, and has confidentially filed for an IPO. The influx of capital has also led to the emergence of 37 new AI unicorns in Q2 2026, the highest since 2022. Among these, DeepSeek and Prometheus stand out, with valuations of $59.2 billion and $41 billion, respectively. As AI continues to evolve, the global landscape is witnessing a rapid expansion of innovative startups, reflecting a robust investor appetite for transformative technologies.

Evolving AI and Data Science Courses in 2026

Evolving AI and Data Science Courses in 2026

Just came across an article discussing the latest AI and data science courses for 2026. It's fascinating to see how these programs are evolving to include cutting-edge topics like generative AI, large language models, and AI agents. The emphasis on practical, real-world applications is a game-changer for students aiming to stay ahead in this rapidly advancing field. Staying updated with these trends is crucial for anyone looking to make a mark in AI and data science.

After IITs and IIMs, is Indian Statistical Institute the next autonomy battleground?

After IITs and IIMs, is Indian Statistical Institute the next autonomy battleground?

The Indian Statistical Institute (ISI), a prestigious institution founded in 1931, is facing significant changes with the introduction of the Indian Statistical Institute Bill, 2026. This proposed legislation aims to modernize governance structures within ISI, reflecting the evolving demands of data science and artificial intelligence. However, faculty members are expressing concerns about increased government control over appointments and decision-making processes, which they fear could undermine the institute's autonomy. The Bill suggests transforming ISI from a registered society into a statutory body corporate, effectively placing it under direct parliamentary governance. This shift would alter the composition of its decision-making bodies, with a Board of Governors gaining more government representation and the Director's appointment being influenced by a government-constituted search committee. Faculty members worry that such changes could dilute academic influence over critical decisions, shifting power away from the institution's academic community. The government's rationale for these reforms is to enhance accountability and support cutting-edge research necessary for India's technology and financial sectors. However, critics argue that the proposed changes extend beyond recommendations made by an expert committee, raising alarms about the potential loss of ISI's unique identity and independence. This situation reflects a broader trend in Indian higher education, where increasing centralization is reshaping the governance of several leading institutions.

How to Stop China from Freeriding on American AI

How to Stop China from Freeriding on American AI

The recent release of China's Kimi K3 AI model has intensified discussions around AI policy, highlighting concerns about intellectual property theft and the competitive landscape between American and Chinese technology. Treasury Secretary Scott Bessent has raised alarms about the presence of U.S. model watermarks in Chinese systems, indicating potential infringement. This situation has polarized opinions in Washington, with some advocating for strict restrictions on Chinese AI models due to security risks, while others argue that such measures could stifle innovation and development in the U.S. The debate centers on the concept of "distillation," a common practice in AI where a smaller model learns from a larger one. While this technique is widely used across the industry, including by American firms, it has raised concerns when employed by Chinese labs to replicate U.S. models. Critics argue that distinguishing between legitimate distillation and fraudulent practices is crucial for effective policy-making. The Trump administration aims to navigate this complex landscape by focusing on punishing deceptive practices rather than restricting the broader use of AI techniques. Ultimately, the challenge lies in addressing the systematic fraud that undermines American trade secrets while fostering an environment that encourages innovation. As the global AI landscape evolves, the U.S. must find a balance that protects its intellectual property without hindering the progress of its own AI industry.

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