In a multi-billion dollar global corporation with numerous distribution centers, efficient management of tasks is crucial. As a labor worker, I've observed supervisors struggling with basic Excel functions despite my efforts to provide guidance. To challenge myself, I created a sophisticated spreadsheet that could reduce their task time significantly. Now, I aim to present this solution, but I believe my work deserves compensation. Understanding how to navigate this process will be key to ensuring that my contributions are recognized and valued appropriately.

OpenAI has transformed its highly anticipated GPT-5.5 launch party into a monthlong Codex giveaway for over 8,000 developers who applied for invitations. As a gesture of appreciation, each developer will enjoy a tenfold increase in Codex rate limits on their personal ChatGPT accounts, effective immediately until June 5. This initiative aims to enhance developers' experience, allowing for greater experimentation and productivity with AI-powered coding. OpenAI's commitment to user engagement underscores its vision for a more accessible and innovative future in data management and software development.

Moment Energy has successfully raised $40 million to address the growing demand for sustainable power solutions through innovative repurposing of electric vehicle (EV) batteries. CEO Edward Chiang shared insights with TechCrunch about the company’s vision to transform used batteries into reliable energy storage systems. This approach not only extends the lifecycle of EV batteries but also contributes to a greener energy future. By harnessing this potential, Moment Energy positions itself at the forefront of the evolving energy landscape, ready to meet the challenges of tomorrow.

The landscape of data science hiring appears to be evolving, particularly with the rise of AI-driven tools like Litmetrics.ai, which emphasize real-world datasets and messy business scenarios over traditional coding tests. This shift suggests a growing recognition that modern data science roles require end-to-end analytical judgment, integrating AI into the decision-making process.

Introducing a web app designed to enhance your data visualization experience by offering superior alternatives to pie charts. Simply input your data, and the app analyzes key factors like the number of options and value ranges to recommend more effective visualizations such as donut charts, bar graphs, or tree maps. This tool empowers users to make informed choices about their data representation. We invite suggestions for additional rules or chart types to incorporate, helping you transform your data into compelling visual narratives.

As a radar signal processing engineer with a master's in robotics and AI, you’re well-positioned to transition into applied machine learning for robotics. With solid math skills and access to real data, you have a unique advantage. Your main inquiry revolves around the value of re-implementing ML algorithms versus exploring side projects or pivoting internally. Consider the impact of each option on your career trajectory. Engaging with professors for research could also provide valuable insights.

Navigating the NeurIPS open review process can be challenging, especially for first-time submitters. If you’re wondering about uploading your paper PDF after the abstract deadline, it’s important to know that you'll need to submit something initially to enable updates later. The same applies to code URL submissions; it's advisable to include an initial URL. Additionally, NeurIPS has measures in place to prevent code updates after the paper deadline, ensuring integrity in the review process.

In the pursuit of enhanced blockchain security, I have developed a computer vision approach to detect malicious transaction patterns in the "Agentic Economy." Traditional security methods often falter when confronted with fragmented, high-value transactions. By leveraging a Vision-Language Model (VLM) like Qwen2-VL-2B-Instruct, I transformed transaction flows into 2D graph topologies, revealing distinct adversarial signatures. This innovative method not only streamlines the detection process but also allows for rapid prototyping. I invite feedback and collaboration from others exploring visual anomaly detection in similar contexts.

In the evolving landscape of AI, understanding why distilled models can collapse is crucial for maximizing their effectiveness. This video unpacks the underlying factors that contribute to this phenomenon, providing insights into the intricacies of model performance and stability. By exploring the challenges faced by distilled models, viewers gain a deeper appreciation of the technology's limitations and potential. Join us as we demystify these complexities, empowering you to make informed decisions in your AI journey. Discover the nuances that impact your models today.

Cloudflare has unveiled Flagship, an edge-native feature flag service designed to enhance control over feature rollouts. Built on OpenFeature, Flagship allows teams to experiment with changes seamlessly without the need for code redeployment. This innovative service evaluates flags locally within Cloudflare Workers, eliminating reliance on external flag services and empowering teams to make data-driven decisions efficiently. By introducing this closed beta, Cloudflare is positioning itself at the forefront of feature management, making it easier for developers to innovate while maintaining flexibility in their workflows.

Figma has unveiled a comprehensive account of its innovative in-house Redis proxy service, FigCache, designed to enhance site availability by replacing a fragmented caching stack. In a detailed post by Kevin Lin, the company highlights how FigCache has significantly improved performance, achieving an impressive six nines of uptime since its deployment in the latter half of 2025. This development not only reinforces Figma's commitment to reliability but also showcases its forward-thinking approach to optimizing data management and user experience in a rapidly evolving digital landscape.

In the realm of platform engineering, success hinges on the harmonious interplay of reliability and ergonomics. In "Three Pillars of Platform Engineering: A Virtuous Cycle," Pratik Agarwal delves into three foundational pillars: automated reliability, developer ergonomics, and operator ergonomics. These elements work together to create a virtuous cycle that not only enhances system stability but also alleviates operational burdens. By embracing these principles, teams can confidently scale their infrastructure, ensuring a robust and efficient environment for innovation and growth.

Mistral has unveiled Mistral Medium 3.5, a cutting-edge 128-billion parameter model that enhances instruction following, reasoning, and coding capabilities within one cohesive system. Alongside this advancement, Mistral introduces innovative cloud-based agent functionalities in its Vibe and Le Chat products, transforming the way users interact with AI. These updates empower users to explore new workflows and leverage advanced technology for improved productivity. This release signifies Mistral's commitment to providing accessible, effective solutions that meet the evolving demands of data management and AI interaction.

Fine-tuning large language models (LLMs) locally has become significantly more accessible thanks to a variety of open-source libraries. These tools eliminate the need to construct a complete training stack from scratch, catering to diverse needs such as low-VRAM training, LoRA, QLoRA, RLHF, DPO, and multi-GPU scaling. Whether you seek advanced functionalities or a user-friendly interface, there is an open-source library that can enhance your workflow. Discover the top 10 libraries that can transform your fine-tuning experience and empower your data projects.

In "Surviving High Uncertainty in Logistics with MARL - Part 2," we delve into the development of scale-invariant agents that adeptly navigate shifting contexts within complex logistics environments. As uncertainty becomes a defining characteristic of modern supply chains, these innovative agents offer transformative solutions to enhance adaptability and decision-making. By leveraging Multi-Agent Reinforcement Learning (MARL), organizations can empower their logistics operations, ensuring resilience and efficiency in the face of unpredictable challenges. Explore how these advancements can redefine your approach to logistics management.

Fervo Energy, an innovative player in the geothermal sector, is set to raise up to $1.3 billion through its upcoming IPO, potentially valuing the company at an impressive $6.5 billion. This strategic move underscores Fervo's commitment to transforming the energy landscape by harnessing the power of enhanced geothermal systems. As the demand for sustainable energy solutions grows, Fervo Energy positions itself at the forefront of this dynamic market, inviting investors to explore the future of clean energy and its transformative potential.

As concerns about AI's impact on employment grow, Nvidia CEO Jensen Huang offers a counter perspective, asserting that AI is poised to create a vast number of new jobs. Rather than viewing AI as a threat to job security, Huang emphasizes its potential to enhance productivity and foster innovation across industries. His insights challenge the prevailing narrative of AI as a job killer, inviting a more nuanced understanding of how technology can empower workers and redefine the future of work in a rapidly evolving landscape.

If you're looking to submit your code link for NeurIPS, it’s important to follow the guidelines provided for supplementary materials. If the supplementary section doesn’t accept text, you can include the link within your PDF submission. Ensure that the PDF clearly indicates where the code can be accessed. This approach maintains clarity and provides reviewers with easy access to your work. Always double-check the submission requirements to confirm that your methods align with NeurIPS standards for a smooth submission process.

In this discussion, I'm exploring the implementation of Unsupervised Hyperbolic Contrastive Loss on the ImageNet-1k dataset. Despite my efforts, the results indicate that the simpler Euclidean unsupervised contrastive loss outperforms the hyperbolic variant. I'm utilizing functions like expmap() and projx() to maintain embeddings on the Lorentzian manifold, yet I'm puzzled by the performance disparity. Currently, my 1-NN accuracy shows 57% for hyperbolic loss compared to 64% for cosine loss. I welcome insights to help unravel this issue and enhance

Building a 9-ball AI player involves creating a sophisticated system for candidate shot generation, particularly for direct cut shots. The model assesses potential shots based on the probability of success and the resulting position for subsequent plays. Key components include a transformer-based model to evaluate winning probabilities, a diverse candidate shot generator, and an efficient evaluator. By leveraging the pooltool library for physics simulations, I enhance shot selection through pre-computed lookups and a throw model, dramatically improving evaluation speed.

If you're aiming to enhance your "Format as Table" experience by turning negative numbers red while preserving the row colors, you've encountered a common challenge with conditional formatting. Conditional formatting often resets background colors, which can disrupt your desired aesthetic. To achieve your goal, consider using a custom formula in your conditional formatting settings that specifically targets negative values without altering the existing row colors. This approach will allow you to maintain the visual integrity of your table while clearly highlighting negative figures.

If you have a spreadsheet with around 300 rows of property addresses and want to group them by suburb, there's an efficient way to achieve this without manually selecting each row. Instead of right-clicking to create a table, consider using the filter function or conditional formatting to highlight the rows containing your target suburb. This approach allows you to organize your data effectively and makes it easier to visualize the grouped information. Explore these tools to streamline your workflow and enhance data management.

Managing over 1,000 Excel workbooks can be daunting, especially when it comes to renaming individual sheets based on specific data within those files. While PowerShell offers a potential solution, it can be complex for those unfamiliar with scripting. Fortunately, there are more accessible methods that can streamline this process, allowing you to rename multiple sheets efficiently without the need for tedious manual work. Explore these innovative approaches to simplify your workflow and transform how you handle your Excel files, unlocking productivity and ease.

The era of retrieval-augmented generation (RAG) is evolving, as agentic AI demands a more sophisticated approach to data management. Traditional vector databases are struggling to meet these needs, prompting a shift towards innovative solutions. Pinecone's new Nexus platform introduces a knowledge engine that compiles context before queries, streamlining agent interactions with structured knowledge artifacts. This change reduces inefficiencies and enhances task completion. As enterprises embrace these advancements, the focus will increasingly shift from mere retrieval speed to governed, reliable knowledge pipelines that drive meaningful outcomes.

Microsoft has officially launched Agent 365, its management platform for AI agents, signaling a critical shift in addressing the governance challenges posed by "shadow AI." This innovative tool allows enterprise IT and security teams to oversee and secure AI agents across various environments, including third-party cloud platforms and local devices. As organizations grapple with the risks of autonomous software operating without oversight, Agent 365 provides a centralized control plane to navigate this new landscape.

American Express (Amex) is innovating in agentic commerce by developing a system that enables AI agents to shop and pay on behalf of users within its own payment network. While Amex's ACE developer kit aims to enhance trust and control through mechanisms like intent contracts and single-use tokens, concerns about transparency in transaction validation persist. As Amex navigates this complex landscape, it emphasizes the importance of trust and security, positioning itself as a leader in redefining how AI interacts with financial transactions.

Katie Haun has successfully raised $1 billion across new venture funds, reinforcing her commitment to supporting innovative crypto and blockchain startups. Announced on Monday, this significant funding milestone enables Haun’s firm to further its thesis of empowering transformative projects in the rapidly evolving digital landscape. By backing visionary entrepreneurs, Haun aims to drive meaningful advancements within the blockchain ecosystem, positioning her firm as a key player in the future of decentralized technology. This initiative underscores the growing confidence in the potential of crypto ventures.

Recent findings from Appfigures reveal a significant trend in app growth driven by image AI models, which outperform chatbot upgrades by generating 6.5 times more downloads. This surge in downloads highlights the potential of visual models to attract users; however, the data also indicates that many apps struggle to convert this initial interest into lasting revenue. As developers explore innovative solutions to harness this growth, understanding the dynamics of user engagement and monetization will be key to transforming downloads into sustainable success.

Cerebras, the AI chip maker renowned for its innovative technology, is poised for a blockbuster IPO that could surpass a valuation of $26.6 billion. This significant milestone reflects not only Cerebras' advanced capabilities in AI hardware but also its deep and fruitful partnership with OpenAI. As the demand for powerful AI solutions continues to surge, Cerebras stands at the forefront, ready to transform the landscape of artificial intelligence and data processing.

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has issued a warning regarding the severe CopyFail bug impacting major Linux versions. This vulnerability is being actively exploited in hacking campaigns, posing significant risks to servers and data centers that depend on Linux for their operations. Organizations are urged to take immediate action to mitigate potential threats and safeguard their data. As the cybersecurity landscape evolves, staying informed and proactive is essential to protect critical infrastructure from emerging vulnerabilities.

In "K-Means as a Radial Basis Function Network: a Variational and Gradient-based Equivalence," the author proposes a novel formulation of K-Means as a continuous optimization problem. By replacing hard assignments with soft responsibilities, this approach defines a smooth objective that maintains clustering structure while allowing for end-to-end differentiability. The paper presents a Gamma convergence analysis demonstrating that this smooth objective recovers traditional K-Means in the zero temperature limit.

When preparing your submission for NeurIPS 2026, it's essential to understand the page limit policy clearly. Papers can have a maximum of eight pages, which includes all figures and tables, while a ninth page is permitted solely for references. Any deviation from these guidelines, including exceeding nine pages or including text beyond references on the ninth page, will lead to rejection without review. If the instructions seem unclear regarding references, it’s advisable to follow the stated policy to ensure compliance.

When experimenting with large model architectures, particularly in the context of compute-intensive training regimes, it's essential to adopt strategies that maximize efficiency. This involves techniques such as using only a fraction of the dataset—typically 5-10%—to quickly validate hypotheses. Additionally, reducing batch sizes while adjusting the learning rate accordingly can help manage resource constraints. Furthermore, consider decreasing the number of epochs or iterations to expedite experimentation. Exploring these approaches can streamline your efforts and provide insights into the model's performance without overwhelming computational resources.

The emergence of large language models (LLMs) has sparked renewed interest in privacy-preserving AI and machine learning solutions. As privacy regulations have evolved, the demand for AI technologies has only increased, yet concerns about user data de-anonymization have grown. Many professionals are now leveraging trusted execution environments to create enterprise solutions that prioritize privacy while harnessing the power of LLMs. This raises important questions about the balance between innovation and privacy.

In today's evolving landscape of AI agent design, understanding when to transition from a single agent to a multi-agent system is crucial for optimizing performance and scalability. This practical guide delves into the intricacies of ReAct workflows and the advantages of multi-agent systems, offering insights to help you make informed decisions. Whether you are navigating complex tasks or seeking to enhance collaboration among agents, this resource empowers you to explore the right approach for your needs, ensuring efficient and effective data management.

Creating a matchmaking algorithm in Excel using responses from a Google Form is not only possible but can also be a rewarding project. By analyzing the answers, you can identify overlapping responses to pair participants effectively, much like a dating match. This approach allows for a nuanced understanding of preferences and compatibility. In this guide, we'll explore the steps to implement this algorithm, making the process accessible and manageable, regardless of your Excel experience.

It sounds like you're encountering a common issue where the MONTH() and YEAR() functions are being interpreted as structured references in your specific sheet, leading to the #REF error. This often occurs when Excel prioritizes structured references over standard functions. Since these functions work correctly in a new file, you may need to ensure that your syntax is clear and that Excel recognizes your intent. Try prefixing your functions with an equal sign and parentheses, like “=MONTH(<cell reference>)”, to help distinguish them from structured references.

If you’ve encountered the Microsoft Visual Basic for Applications (VBA) error in Excel stating, “License information for this component not found. You do not have an appropriate license to use this functionality in the design environment,” you’re not alone. This common issue can disrupt your workflow and hinder productivity. Many users have faced this challenge, and solutions can vary. If you’ve resolved this error or have insights to share, your input could be invaluable to those seeking assistance.

Hiding zeros in a table while preserving relevant decimals can enhance clarity, especially when data is still being collected. If you're facing challenges with custom text formatting, the common approach of using "0;-0;;@" often results in the loss of decimal values. Instead, consider a custom format that retains decimal places while displaying nothing for zero values. This allows your formulas to remain intact and your data presentation to be cleaner.

Are you looking for a straightforward way to automate cell population in your spreadsheet based on the presence of individuals? In your table, you want to set default attendance for three people across Monday to Wednesday, where they are typically marked present unless specified otherwise. By implementing a button to automatically fill these cells according to their attendance status, you can streamline your workflow. This solution will allow for easy adjustments, enabling you to override default settings for specific days as needed.

If you're looking to calculate the average of a range while ignoring both 0s and #VALUE! errors, you're not alone. Many users encounter challenges with this, especially when working with mixed data sets. The formula options you've tried, such as using AGGREGATE, are promising but may need some adjustments. By refining your approach, you can effectively streamline your calculations, ensuring that only valid numbers contribute to the average. Let’s explore a solution that empowers you to achieve accurate results effortlessly.

To accurately count the number of products in your categorized database without tallying the category headers, you can utilize the COUNTIF function effectively. Instead of adding a separate column, consider using a single formula that filters out whole numbers. For instance, you can apply a formula like `=COUNTIF(A:A, ">0") - COUNTIF(A:A, ">=2")` to count only the subcategories. This approach streamlines your data management while ensuring that your counts remain accurate and free from potential errors in future updates.

DoorDash has introduced innovative AI-powered tools designed to enhance the merchant onboarding experience. These new features enable merchants to streamline their registration process, effortlessly edit photos to present their dishes attractively, and even create websites using existing content. By leveraging advanced AI technology, DoorDash empowers merchants to enhance their visibility and appeal, ultimately driving customer engagement. This initiative reflects DoorDash's commitment to making the onboarding process more efficient and accessible, ensuring that merchants can focus on what they do best: serving delicious food.

Barocal is pioneering a groundbreaking approach to food and drink cooling by harnessing the power of a unique material—plastic crystals. This innovative solution offers a cost-effective and nonpolluting alternative to traditional refrigeration technologies. By simply squeezing these crystals, users can achieve effective cooling without the environmental impact associated with conventional methods. Barocal's discovery invites you to explore a future where cooling is both efficient and sustainable, transforming the way we think about food preservation and beverage enjoyment. Embrace this shift towards responsible technology.

For a limited time only, you can take advantage of our exclusive BOGO offer for TechCrunch Disrupt 2026. Purchase one pass and receive 50% off a second ticket for a partner or colleague. This is a fantastic opportunity to share the experience and insights of one of the year's premier tech events. Don't miss out—this offer ends this Friday, May 8. Secure your passes today and empower yourself and your team with the innovation and networking opportunities that await at TechCrunch Disrupt 2026.

Amazon is expanding its global logistics network, launching Amazon Supply Chain Services to serve all businesses. This innovative offering positions the e-commerce leader in direct competition with established logistics giants like UPS and FedEx. By opening its extensive supply chain capabilities, Amazon aims to empower businesses of all sizes, providing them with access to efficient and reliable shipping solutions. This move reflects Amazon's commitment to transforming logistics, making it more accessible and streamlined for companies seeking to enhance their operational effectiveness and customer service.

Recent investigations by Bloomberg revealed that healthcare marketplaces in Virginia and Washington, D.C. had been sharing sensitive citizenship and race data with advertising technology companies. This revelation raised significant concerns about privacy and data security. In response, both jurisdictions have paused the collection and sharing of this information to reassess their data practices. This decision highlights the ongoing scrutiny of how personal data is managed and the importance of safeguarding sensitive information in the healthcare sector, particularly in an era of increasing digital advertising.

As X shuts down its Communities feature, Acorn emerges as a compelling alternative that empowers creators and organizations. Designed with decentralized technology, Acorn allows users to build and manage their own online communities, offering customizable feeds, robust moderation tools, and insightful analytics. This innovative platform prioritizes user control and engagement, enabling organizations to foster authentic connections and meaningful interactions. By embracing Acorn, creators can navigate the complexities of community management with confidence, transforming their online presence into a thriving hub of collaboration and creativity.

Anthropic and OpenAI are taking significant strides in the enterprise AI landscape by launching joint ventures aimed at asset managers. This collaboration marks a pivotal moment in the evolution of AI services, as both companies leverage their expertise to deliver innovative solutions tailored to the needs of businesses. By partnering with asset managers, they aim to enhance the accessibility and effectiveness of enterprise AI products, empowering organizations to optimize their operations and drive transformative change in data management and decision-making processes.

Elon Musk reportedly sent unsettling messages to OpenAI's president, Greg Brockman, and CEO, Sam Altman, following discussions about a potential settlement. In these texts, Musk warned that he and Altman would become "the most hated men in America." This revelation adds a dramatic layer to the ongoing tensions surrounding OpenAI, highlighting the complex dynamics between its founders and Musk. As the situation unfolds, it raises critical questions about the future of AI leadership and the ethical responsibilities of its pioneers.