Discovering EV Charging Site Archetypes Through Few Shot Forecasting: The First U.S.-Wide Study

A recent systematic literature review highlights the growing significance of spatio-temporal graph neural networks (GNNs) in time series analysis. These models excel at capturing complex dependencies over time and among variables, making them invaluable for forecasting and classification tasks. This review not only summarizes various modeling approaches but also showcases the diverse application domains of GNNs, emphasizing their potential to enhance predictive accuracy in numerous fields. As industries increasingly rely on data-driven decisions, understanding these advanced models is crucial for leveraging their capabilities effectively.

The introduction of DrivAerStar, an industrial-grade CFD dataset, marks a significant advancement in vehicle aerodynamic optimization, especially crucial for the electric vehicle sector. This dataset aims to bridge the gap between the high computational costs of traditional CFD simulations and the inaccuracies of simplified models. By leveraging machine learning, it promises to enhance the efficiency of design iterations, ultimately leading to better energy efficiency and extended range for electric vehicles. This innovation is vital as the automotive industry shifts towards electrification, making it a game-changer for manufacturers and consumers alike.

Seres Group Co., a Chinese electric vehicle manufacturer, has successfully raised HK$14.3 billion (approximately $1.8 billion) through its Hong Kong listing. This achievement, marked by pricing at the upper limit and increasing the deal size, highlights the growing investor confidence in the EV sector and positions Seres for future growth in a competitive market.

Managing Terraform modules effectively is crucial as organizations scale, yet it often leads to challenges like code duplication and inconsistent testing. This article discusses the common issues teams face when using Terraform and the ongoing debate about whether to adopt a monorepo approach or separate repositories. Understanding these dynamics is essential for improving collaboration and efficiency in infrastructure management.

During the third week of Hacktoberfest, I revisited the OpsiMate repository, an all-in-one platform for DevOps and IT teams. Initially hesitant to contribute, I found the project to be a valuable resource for managing infrastructure. This experience highlights the importance of open-source contributions, as they not only enhance personal skills but also foster community collaboration and innovation in technology.

Distributed training has transformed from a simple optimization method into a sophisticated, data-driven strategy that adjusts to the available infrastructure. This evolution is crucial as it allows for the efficient processing of large datasets while reducing latency, which is essential for real-world AI and machine learning applications. As technology continues to advance, this approach will likely play a pivotal role in enhancing the performance and scalability of AI models.

In 2025, shares of Seagate and Western Digital have skyrocketed by around 200%, significantly outperforming the broader market. This surge is largely driven by the increasing demand for AI-related infrastructure, which has created a booming market for hard drives. This trend is important as it highlights the growing intersection of technology and data storage, showcasing how advancements in AI are influencing stock performance and investment opportunities in the tech sector.

The article highlights the transformative impact of cloud platforms on organizational infrastructure, emphasizing how virtualization has made it easier and more cost-effective to manage resources. In contrast to the early 2000s, when companies faced high costs for physical hardware and data center leases, today's cloud solutions allow for rapid deployment and flexibility. This shift not only enhances operational efficiency but also enables businesses to adapt quickly to changing demands, making it a significant development in the tech landscape.

Kathy Hartley from the University of Salford explores the concept of revenge quitting, weighing its potential benefits and drawbacks. This topic is particularly relevant as many workers grapple with workplace dissatisfaction and consider their options. Understanding the implications of leaving a job in anger can help individuals make more informed decisions about their careers.

Google AI Studio is revolutionizing the way developers create AI solutions with its user-friendly, web-based platform. By leveraging the latest Gemini models, it simplifies the prototyping and deployment process, enabling users to easily experiment with prompts and analyze outputs. This innovation not only enhances productivity but also allows for the seamless export of production-ready code, making it a game-changer for AI development.

VentureBeat is excited to welcome Karyne Levy as its new Managing Editor, starting today. Karyne brings a wealth of experience from her previous role at TechCrunch and has held significant positions at notable outlets like Protocol and NerdWallet. Her extensive background in tech journalism will undoubtedly enhance VentureBeat's leadership and content quality, making this a significant step forward for the publication.

In 2025, premium Chromebooks like Acer's Chromebook Plus Spin 514 are proving to be game-changers, even for Windows fans. With impressive features such as 12GB of RAM and a power-efficient MediaTek chip, this sleek convertible laptop offers a compelling alternative for users seeking performance and versatility. Its growing popularity highlights a shift in consumer preferences towards more efficient and stylish devices, making it an important player in the laptop market.

The potential ban on America's favorite router could mark a significant moment in consumer history, as it would represent one of the most extensive product bans ever. This news is crucial because it not only affects consumers who rely on this technology for their daily internet needs but also raises questions about market competition and consumer choice in the tech industry.

MongoDB, Inc. has seen a significant rise in its stock price recently, driven by strong quarterly results and positive guidance. The excitement among investors has been further fueled by a major leadership change within the company, signaling a fresh direction and renewed confidence in its future. This surge is important as it reflects the market's optimism and could lead to increased investment and growth opportunities for MongoDB.