Tokyo is set to emerge as the most important tech destination of 2026, showcasing its vibrant innovation landscape at SusHi Tech Tokyo. This event highlights four distinct technology domains, each supported by live demonstrations that bring ideas to life. Attendees will have the opportunity to explore dedicated exhibit floors and engage in sessions featuring the visionary individuals who are actively building and funding groundbreaking technologies across the globe. This convergence of talent and innovation positions Tokyo as a pivotal hub for the future of technology.

Cohere, a Canadian AI startup, is merging with Germany-based Aleph Alpha, backed by the support of Lidl’s owner, Schwarz Group. This strategic partnership aims to create a sovereign alternative in the AI landscape, where American players currently dominate. With the endorsement of both governments, the merger seeks to empower enterprises by providing innovative solutions tailored to their unique needs. By combining their expertise, Cohere and Aleph Alpha are poised to transform the future of AI technology in Europe, fostering a more diverse and competitive environment.

The climate tech sector may be on the cusp of a significant shift, as the IPO window begins to open for innovative companies. Nuclear startup X-energy has successfully gone public, while geothermal startup Fervo is set to follow suit. This potential momentum could signal a pivotal moment for climate tech investors who have been eagerly anticipating opportunities in this transformative space.

In a heartfelt letter to the residents of Tumbler Ridge, Canada, OpenAI CEO Sam Altman expressed his profound regret over the company's failure to notify law enforcement about a suspect linked to a recent mass shooting. He acknowledged the community's pain and fear, emphasizing the importance of accountability and proactive measures in ensuring safety. Altman's apology reflects a commitment to improving communication and collaboration with local authorities, underscoring the need for responsible engagement in the face of emerging challenges in technology and public safety.

Visual-Language-Action (VLA) models are emerging as a leading framework for embodied AI, yet much of the discussion remains superficial. This article provides a comprehensive technical analysis of how contemporary VLA systems, including OpenVLA, RT-2, π0, and GR00T, translate vision and language inputs into actionable commands for robots. It explores key action-decoding techniques, such as tokenized autoregressive actions, diffusion-based action heads, and flow-matching policies. This is an essential read for those familiar with transformers who seek a clearer understanding of their application in robotic control.

In today's fast-paced business environment, leveraging AI tools like ChatGPT Images can significantly enhance your team's productivity. Imagine streamlining your workflows by integrating advanced image generation capabilities that handle tasks previously managed by multiple team members. This innovative technology not only simplifies complex processes but also empowers your team to focus on strategic initiatives. By adopting AI-driven solutions, you can transform how you approach projects, allowing for greater creativity and efficiency.

Welcome to Part 2 of The Essential Guide to Effectively Summarizing Massive Documents. Now that we have our document clusters, it’s time to unlock their true potential. This section will guide you through the process of extracting meaningful information from these actionable clusters, transforming dense content into clear insights. By employing effective techniques, you’ll be empowered to enhance your productivity and streamline your data management. Join us as we explore innovative strategies that can simplify your workflow and enhance your understanding of complex documents.

In the realm of business, causal inference presents unique challenges that differ significantly from traditional analytical approaches. This post, "Causal Inference Is Different in Business," delves into how decision-gravity—a term that captures the weight of decisions influenced by various business factors—creates a gap in understanding causality. By exploring this concept, we can better grasp the complexities of decision-making processes and their implications for data-driven strategies. Join us as we navigate the intricacies of causal inference and its vital role in shaping business outcomes.

It sounds like you're trying to utilize the CHOOSE ROW function but can't seem to locate it in Excel. Instead, you’re only seeing the standard CHOOSE() function. This could be due to a couple of factors, including potential version limitations or settings that may need adjustment. Since you've confirmed that your Excel is updated to the latest version, let’s explore some possibilities to help you access this feature. Understanding the nuances of function availability can empower your data management experience.

Sorting data in a custom order can enhance clarity and organization, especially when standard numerical or alphabetical sorting doesn’t meet your needs. While traditional methods may seem limiting, there are approaches you can explore to achieve a more tailored arrangement without compromising the legibility of your spreadsheet. Although using numeric prefixes is one option, it can appear clunky.

Managing duplicates in your "Total" column during data merges in Power Query or Excel can streamline your calculations significantly. When a product appears multiple times, applying a custom calculation ensures that totals are accurately adjusted. Conversely, single occurrences should maintain their original values. This dynamic solution not only addresses duplicate entries effectively but also remains robust through regular data refreshes. By leveraging the capabilities of Power Query, you can create a seamless workflow that adapts to changes in your source tables while preserving data integrity.

Navigating complex data can be challenging, especially when traditional methods fall short. If you're looking to sum row values based on two horizontal lookups, consider a formula that seamlessly integrates both conditions. For your scenario, where E59:S59 equals E111 and E60:S60 is less than E112, you can use a straightforward approach to achieve your goal. This will streamline your analysis, allowing you to bundle by phase effectively, despite the limitations of your timesheet system. Let's explore the optimal formula to simplify your workflow.

The persistent use of Excel's FORECAST.ETS for time series forecasting raises intriguing questions about its effectiveness in serious applications. Despite having relied on this built-in tool for years, many users have noticed its stagnation: a single algorithm, lack of outlier handling, and no support for multivariate forecasting. For those who incorporate it into their planning processes, what specific functions do you fulfill with FORECAST.ETS? Are its limitations a challenge or an acceptable simplicity?

When merging large tables in Power Query, it's not uncommon to encounter discrepancies, such as a sum that is approximately 7,000 less than expected. This issue often arises from missing values during the merge process, which can be influenced by the type of join used, such as Inner vs. Left joins. To effectively troubleshoot this, you'll want to identify the specific rows that are missing.

Welcome to this week’s recap of the /r/Excel community for April 18-24, 2026. Dive into the top discussions, where users tackled challenges ranging from combining AND and OR conditions in formulas to unresolved issues with Power Query and Excel's buffering. Explore insights from the most engaging comments, including tips on handling binary conversion quirks and formula troubleshooting. This week's highlights reflect a vibrant exchange of knowledge and support, empowering users to enhance their Excel skills and streamline their workflows. Join the conversation!

Hello! After reviewing the recent feedback for UAI 2026, I completed my rebuttal but discovered the character limit is capped at 2,500, unlike the 5,000 allowed at ICML. I’m considering utilizing the public comment section, which has a 5,000-character limit, to expand on my points. Is it acceptable to start my rebuttal in the designated section and then continue in the public comment? I seek guidance from anyone familiar with these rules or any ACs and SACs regarding this approach. Thank you!

Introducing NoTorch, a streamlined neural network training and inference library crafted entirely in pure C, designed to alleviate the frustrations of heavy installations like PyTorch. With just two files—`notorch.h` and `notorch.c`—spanning approximately 3,300 lines of code, it offers a full autograd system and 31 verified operations, making it both powerful and efficient. Experience seamless training on modest hardware, with capabilities for handling models up to 100 million parameters. Explore the GitHub repository for more insights and projects powered by NoTorch.

Introducing the innovative solution behind 9ef2b426-ec21-4286-8374-a0d2a476fa1b, where AI-native technology transforms your spreadsheet experience. This tool simplifies complex tasks, empowering users to harness the full potential of their data without feeling overwhelmed. By embracing a future-focused approach, it invites you to explore intuitive features that enhance productivity and streamline workflows. Discover how this technology not only meets your needs but also inspires a new way of managing information, making the journey towards data mastery both engaging and accessible.

Cloudflare's recent introduction of its Gen 13 servers represents a significant evolution in traffic management. By prioritizing high-core CPUs over large CPU caches, Cloudflare is embracing a more efficient approach to processing. This innovative redesign of their software enables the latest AMD-based servers to utilize multiple processor cores working in parallel, enhancing performance and responsiveness. This strategic shift not only optimizes network efficiency but also sets a new standard for how cloud services can adapt to the demands of modern data traffic.

Are you facing challenges with coaching distribution in your sales and marketing role? You’re not alone. Many professionals struggle to optimize coaching sessions effectively. In your scenario, you have a binary matrix representing topics and individuals, and your goal is to bundle topics for coaching while minimizing the number of sessions. Each session should cover multiple topics and target participants with overlapping needs. Given your limited resources and reliance on Google Sheets, let’s explore practical strategies to streamline your coaching process and enhance team productivity.

Tired of the chaos often found in financial models, I created a streamlined 5-Year DCF Template designed for clarity and efficiency. This automated solution simplifies the calculation of Unlevered Free Cash Flow (UFCF), eliminating the frustration of lengthy, complex rows. By seamlessly handling EBIT, taxes, depreciation and amortization (D&A), and capital expenditures (CapEx), this template empowers users to focus on insights rather than getting lost in convoluted calculations. Explore this innovative approach to financial modeling and transform your analysis process today.

Lachy Groom is reportedly set to back the Indian startup Pronto at a valuation of $200 million, a move that highlights the rapid growth and potential of the house-help service sector. This funding round, if finalized, would effectively double Pronto's valuation in just a few weeks, underscoring the increasing investor interest in innovative solutions for household management. As the demand for accessible and efficient domestic support continues to rise, Pronto's trajectory reflects the evolving landscape of service-based startups in India.

Introducing Plannotator, the free and open-source tool designed to enhance your paper review process with your agents. While you may be eager to explore deepseek v4, it’s not yet on arXiv. However, Plannotator allows you to share annotations privately today, making collaboration seamless. An exciting upcoming feature will enable shared sessions for joint reviews, fostering deeper discussions. Experience the future of paper reviews by watching the video demo. Dive into the innovative world of Plannotator and empower your research journey.

Automatic Speech Recognition (ASR) models often overlook the potential of prompting, which could significantly enhance their performance in real-world applications. While some platforms, like Deepgram, offer word boosting features, they may not effectively address the complexities of live conversations. Implementing prompting could allow models to leverage context, such as conversation history or specific word categories, to improve accuracy. Despite its advantages, this technique remains underutilized in ASR development. Understanding why prompting isn't widely adopted could open new avenues for enhancing voice agents and their functionalities.

Building an automated commentary engine for daily trade attribution at scale poses a unique challenge in market risk reporting. With thousands of trades arriving at varying frequencies, the goal is to create a system that precisely analyzes time-series data and generates clear, human-readable insights. The key dilemma lies in balancing deterministic mathematical accuracy with dynamic natural language generation. Consider leveraging advanced workflows, such as Agentic approaches, to allow for flexibility while ensuring the precision of your calculations.

Introducing an open-source benchmark suite designed to evaluate coding-agent performance in real-world software tasks. This suite, available at paper-lantern-challenges, measures the impact of retrieval-augmented techniques across nine tasks, revealing performance deltas ranging from +0.010 to +0.320. By employing the same coding agent and evaluation methodologies, we ensure reproducibility and clarity. Users can explore practical applications of AI in coding, supported by comprehensive documentation and scripts for each task. Dive into the future of software engineering and discover how retrieval can enhance productivity.

Are you attending ICLR 2026 in Rio and curious about the best swag? This is your opportunity to discover which sponsors are making a memorable impression with their giveaways. From practical items to fun and quirky merchandise, the right swag can enhance your conference experience. Join the conversation to share your finds and insights, and see what others think about the most useful, entertaining, or cute items available this year.

Navigating the landscape of academic funding can be challenging, especially for emerging researchers. If you're seeking collaboration with Professors to support your research papers, consider reaching out to faculty members whose interests align with your work in AI. Look for opportunities at universities known for their research funding programs and engage in academic networking platforms. Establishing relationships with Professors can lead to potential co-authorships, financial backing, and valuable mentorship while allowing you to maintain your position as the lead author.

In 2026, Cursor v3 emerged as a transformative force in software development, redefining how developers engage with their code. This AI-powered coding agent moves beyond traditional integrated development environments (IDEs) by incorporating intelligent AI agents that actively assist in coding tasks. With capabilities that extend far beyond basic autocompletion, Cursor v3 empowers developers to streamline their workflows and enhance productivity. By embracing this innovative approach, developers can unlock new levels of efficiency and creativity, paving the way for a more dynamic coding experience.

Have you ever encountered a frustrating issue when using Excel online, where a missing row causes complications during copy and paste? It's a common challenge that many users face. When you copy a column and try to paste it offline, the data may squish together or omit critical information, leading to confusion and errors. If you're looking for insights or solutions to this problem, you're not alone. Join the discussion and discover potential fixes to enhance your Excel experience. Explore the link for more details.

When working with call log analytics in Excel, users often seek efficient ways to manipulate data without advanced functions like TEXTSPLIT, especially in earlier versions like Excel 2019. The FILTERXML function can offer a creative solution for extracting specific elements from structured data. In this case, while the formula successfully retrieves dates, users may find challenges in extracting corresponding times. This guide will explore how to refine your FILTERXML approach to achieve a streamlined extraction of both date and time values for enhanced productivity.

If you're seeking to streamline data entry in Excel, consider setting up a system where users can easily interact with checkboxes on an input sheet. By clicking these checkboxes, field personnel can quickly select items, triggering automatic updates on summary and estimate sheets while hiding unselected rows. This approach ensures that when accessed on mobile devices, such as iPhones or iPads, the process remains intuitive and efficient. Embracing this method can transform how your team manages customer needs without overwhelming them with complexity.

It sounds like you're experiencing frustrating issues with rendering your graphs after reopening your Excel file. Initially, the file struggled to load, displaying a "not responding" message, which can be concerning. Now, it seems that none of your carefully crafted graphs are displaying correctly, only showing a jumble of axis titles and labels. This situation can disrupt your workflow and hinder productivity. Let’s explore potential solutions to restore your graphs and ensure a smoother experience moving forward. Your insights on this matter are valuable.

Left-aligning chart titles may seem like a missed opportunity for customization, especially when users often prefer varied text alignments to suit their design preferences. While manually repositioning text boxes offers a workaround, the absence of a built-in left-alignment option feels like an oversight in modern spreadsheet design. This limitation can hinder the clarity and aesthetic appeal of data presentations. Exploring design choices like those found on platforms such as ourworldindata.org highlights the importance of flexibility in data visualization tools to enhance user experience and communication.

In a world increasingly dominated by AI solutions like Copilot, many seasoned Excel users are grappling with the impact on traditional community resources. As a supply chain analyst with years of experience, I’ve relied on peer knowledge and online forums for mastering Excel. However, with my department’s push towards Copilot usage, I’ve noticed a shift in my reliance on this sub for Excel questions. Has the convenience of AI rendered these valuable communities obsolete?

In November 2024, during Operation Lunar Peek, attackers exploited two CVEs in Palo Alto Networks systems, granting them root access to over 13,000 devices. Despite their CVSS scores of 9.3 and 6.9, the vulnerabilities were mismanaged, leading to a significant security breach. This scenario highlights a critical flaw in traditional CVSS assessments, which often treat vulnerabilities in isolation, ignoring the real-world implications of chaining them.

X has officially launched its stand-alone XChat app on iOS, marking a significant step forward in private communication. This new app is designed to enhance user experience with features like secure private chats, disappearing messages, and seamless audio and video calls. By prioritizing privacy and intuitive design, XChat empowers users to connect without compromise. Explore the innovative capabilities of XChat and discover how it can transform the way you communicate, making every conversation more engaging and secure. Join the future of messaging today.

ComfyUI has achieved a significant milestone with a $500 million valuation, driven by its innovative tools that empower creators to take control over AI-generated media, including images, videos, and audio. Recently, the company secured $30 million in funding, underscoring the growing demand for accessible and user-friendly solutions in the creative space. This investment not only highlights ComfyUI's commitment to enhancing the creative process but also positions it as a leader in the evolving landscape of AI technology, where user autonomy is paramount.

X-energy, a promising nuclear power startup, saw its stock surge by 27% on its first day of trading on the Nasdaq, drawing significant investor interest. This upsized initial public offering (IPO) marks a pivotal moment for X-energy, positioning it at the forefront of the energy sector's transition toward sustainable and innovative solutions. As investors flock to this emerging leader in clean energy, the company aims to harness advanced nuclear technology to meet growing energy demands while addressing environmental concerns, showcasing a bright future ahead.

In the evolving landscape of AI and data technology, the competition for top talent is fierce. Meta's recent poaching of professionals from Thinking Machines Lab highlights the dynamic interplay between these two entities. While Meta gains expertise, Thinking Machines also benefits from this exchange, fostering innovation and growth. This two-way street not only enhances the capabilities of both organizations but also contributes to the broader advancement of AI-driven solutions, ensuring that the future of data management remains vibrant and forward-focused.

Two ambitious college students have successfully raised $5.1 million in pre-seed funding to develop Series, an innovative social networking app designed specifically for iMessage. Gaining traction on college campuses, Series aims to create a dynamic platform that enhances social connections among students. Backed by prominent figures in the tech industry, this funding round highlights the growing interest in AI-driven solutions that streamline communication and foster community engagement.

Cohere, a leading AI company from Canada specializing in tools for regulated industries, has announced its merger with Germany-based Aleph Alpha. This strategic partnership aims to create a powerful transatlantic AI powerhouse, combining expertise and resources to better serve businesses and governments. By merging their capabilities, Cohere and Aleph Alpha are poised to advance innovative AI solutions, enhancing productivity and compliance in various sectors. This collaboration marks a significant step forward in the evolving landscape of artificial intelligence, fostering a future-focused approach to technology.

Palantir Technologies is reportedly playing a significant role in assisting the IRS with investigations into financial crimes, as highlighted by a recent report from The Intercept. The IRS has been utilizing Palantir's advanced software since at least 2018, leveraging its data integration and analysis capabilities to enhance their investigative efforts. This collaboration underscores the growing importance of technology in modern law enforcement, as agencies seek innovative solutions to tackle complex financial crimes and improve their operational efficiency in a rapidly evolving landscape.

In a candid and impassioned letter, Steve Ballmer expressed his feelings of betrayal after backing Joseph Sanberg, who recently pleaded guilty to fraud. Ballmer, a prominent investor and former Microsoft CEO, detailed the significant repercussions of Sanberg's actions on his reputation and financial standing. He conveyed a sense of disappointment, stating, “I was duped and feel silly,” while emphasizing the broader harm caused by Sanberg's misconduct. This revelation underscores the complexities of trust and accountability in the investment landscape.

In today's job market, the emphasis on Generative AI knowledge can be a double-edged sword. A recent onsite interview experience highlights this trend: despite the job description labeling GenAI as a "nice to have," the interviewers devoted a significant portion of time to grilling the candidate on the topic. While the candidate was upfront about their limited knowledge, they also showcased their personal projects to keep the conversation engaging.

Are you struggling with conditional formatting in your work spreadsheet? You're not alone! Many users find it challenging, especially when trying to automate date-related tasks. In your case, you want to grey out text for past appointments to prioritize upcoming slots, while ensuring data integrity for XLOOKUP references. It sounds like your formula, `=AND($B$2<TODAY(), $D$2<>"")`, is close but may have some quirks with date recognition. Let’s explore how to refine your approach for clearer sorting and filtering.

If you're hosting a multi-day event and need a streamlined way to identify attendees on-site each day, you're in the right place. With your existing data sheet containing essential details like names, companies, and attendance dates, you can create individual sheets for each event day. This approach allows you to automatically populate each daily sheet with the relevant attendees, including all their information or specific details as needed. This method not only simplifies your planning process but also enhances your event organization.

If you're encountering issues with entering both 0% and dashes in your Excel spreadsheet, you're not alone. Many users face the "don't leave this cell empty" error when trying to input a dash, which can be frustrating. This often stems from specific cell formatting or validation rules set in the pre-made spreadsheet. To resolve this, you can explore custom number formats or adjust the validation settings. Let’s delve into how you can empower your data entry process and regain control over your spreadsheet experience.

Creating a stacked bar chart that combines multiple items can enhance your data visualization significantly. By placing the months on the X-axis and the total numbers on the Y-axis, you can effectively stack Active and Non-Active data by versions—such as Forecast, Budget 2026, and Q2 Snapshot—within each month. This approach consolidates your insights into a single, coherent chart rather than managing three separate ones. Let’s explore how to format your data to achieve this ideal stacked chart for clearer analysis and presentation.

Managing a patient lottery for your free healthcare clinic can be a complex task, especially when working with Excel. To streamline your process, you’ll want to create a system that randomly selects approximately 11 responses from a linked Microsoft Form and transfers those entries to a “Selected Patients” tab. Additionally, implementing features to delete responses every six months and eliminate duplicates based on phone numbers will enhance efficiency.