Join Us at JMM for an Exclusive Meet & Greet and Live Demo with William Stein!

We are thrilled to announce a special opportunity to meet William Stein, the CEO and Founder of CoCalc, at the JMM meeting in Seattle, WA.

Don't miss this chance to engage with William as he presents a live demo of CoCalc! With numerous publications under his belt, William previously served as a tenured professor at the University of Washington until 2019, at which point he committed full-time to growing the CoCalc Platform.

William has made significant contributions to the field of Computational Algebraic Number Theory and is the creator of the Computer Algebra System Sage.

Come find us at booth 507 in the Exhibit Hall during the Grand Opening Reception.

Connecting with the ML Community: CoCalc's Journey from AISTATS & ICLR to MLSys

Immersed in ML's Forefront: CoCalc Engages with Leading Researchers

Hello everyone!

As the saying goes, "there ain't no rest for the wicked," and the past few weeks have been a vibrant journey for the CoCalc team. We've moved from the statistical foundations of AISTATS to the deep learning breakthroughs at ICLR, and now we're excited to be in Santa Clara, California, for the Systems for Machine Learning (MLSys) conference.

MLSys 2024: Bridging ML and Systems - Visit the CoCalc Booth!

We're thrilled to have a booth at MLSys, a key conference focused on the intersection of machine learning and its underlying systems. If you're here, please stop by to see how CoCalc can enhance your research and development. Our team will be available until Thursday evening!

Gratitude for Conference Organizers: Cultivating Growth and Collaboration

A heartfelt thank you to the organizers of AISTATS, ICLR, and MLSys. Your dedication in creating these vital spaces for learning, collaboration, and growth is invaluable to the machine learning community.

CoCalc's Core: Fueling Collaborative Computational Science

The insightful discussions at AISTATS and ICLR reinforce our passion at CoCalc. We believe accessible compute and seamless collaboration are crucial for accelerating discovery in machine learning. These conferences highlight the community's potential, and we're committed to providing the tools to unlock it.

Looking Ahead at MLSys: Advancing Collaborative ML Systems

We're eager to connect with the MLSys community, exploring the critical systems challenges in deploying and scaling ML. CoCalc's collaborative environment and flexible compute are well-suited to address these needs, enabling more efficient and impactful work.

We invite researchers, engineers, and practitioners at MLSys to visit our booth and discuss how CoCalc can streamline your workflows and boost team collaboration. We're dedicated to fostering collaboration in computational science and look forward to connecting with you this week.

Hope to see you at our booth!

Sincerely, -Blaec Bejarano

Chief Sales Officer, CoCalc by SageMath, Inc.

#MLSys #CoCalc #MachineLearning #AISTATS #ICLR #Conferences

CoCalc at ICLR 2024: Empowering the Machine Learning Community with Flexible Compute and Collaboration

ICLR 2024 Highlights Critical Need for Accessible Compute

The International Conference on Learning Representations (ICLR), held in Vienna, Austria, from May 7th to 11th, 2024, once again proved to be a vital gathering for the machine learning community. CoCalc's presence at this leading deep learning forum generated significant excitement, primarily driven by the overwhelming interest in our compute server functionality. This strong reception highlighted a fundamental requirement within the field: the need for readily available and scalable computational resources.

Addressing the Demand for Scalable Compute: Cloud and Local Solutions

Researchers and practitioners at ICLR 2024 clearly recognized the immense value proposition of CoCalc's seamless integration with major cloud providers like Google Cloud and Hyperstack. The ability to effortlessly tap into the power of GPUs and CPUs through these integrations eliminates the often cumbersome and time-intensive process of setting up and managing local infrastructure. This allows users to dedicate their focus and energy to their core activities: conducting impactful research and running crucial experiments.

However, the CoCalc team also deeply values and understands the continued significance of local compute setups. Many researchers have made substantial investments in their own hardware, developed specialized clusters, or simply prefer the direct control and familiar environment of their local machines. CoCalc's unwavering commitment to supporting both local and cloud environments reflects our core philosophy of providing users with genuine flexibility and choice. This hybrid approach empowers individuals and teams to strategically leverage the strengths of each model, whether it's the on-demand scalability of the cloud for computationally intensive training runs or the dedicated and potentially cost-effective resources of a local setup for development and smaller-scale experiments.

CoCalc: A Key Enabler for Cutting-Edge Machine Learning Research

The enthusiastic engagement we experienced at ICLR 2024 further solidifies CoCalc's position as a valuable and increasingly essential tool within the broader machine learning ecosystem. The conference itself is renowned for showcasing groundbreaking research across a diverse range of deep learning domains, including computer vision, natural language processing, generative models, and reinforcement learning. The presentations and discussions at ICLR consistently highlight the latest advancements in model architectures, innovative training methodologies, fundamental theoretical understanding, and impactful real-world applications.

Supporting the Frontier of Deep Learning: Addressing Key Research Themes

Based on prevailing trends in the field, ICLR 2024 likely featured significant discussions around key themes such as:

• The ongoing evolution and diverse applications of Transformer Architectures.

• Advancements in Generative AI techniques, including diffusion models and GANs, for various media.

• Innovative approaches to Self-Supervised Learning, reducing the need for extensive labeled data.

• The critical area of Explainable AI (XAI), aiming to demystify complex model decisions.

• Addressing the crucial ethical and safety considerations within AI development and deployment.

• Research into Scaling Laws and techniques for more Efficient Training of large models.

• The expanding applications of Graph Neural Networks (GNNs) for relational data analysis.

CoCalc's comprehensive platform directly addresses the computational, collaborative, and organizational demands of researchers actively working on these cutting-edge topics.

CoCalc's Integrated Features: Fostering Collaboration and Reproducibility

Our platform provides a unified environment that facilitates:

• Seamless Real-time Collaboration: Enabling research teams to work together effectively on code development, data exploration, and experimental workflows.

• Effortless Access to Powerful Libraries: Offering pre-configured support for widely used machine learning libraries such as TensorFlow, PyTorch, scikit-learn, and many others.

• Enhanced Reproducibility of Research: Providing tools and features designed to ensure the consistency and verifiability of experimental results, a cornerstone of scientific rigor.

• Improved Educational Accessibility: Offering students and educators an accessible and user-friendly platform to learn and teach complex machine learning concepts without the initial hurdles of intricate local setups.

The Future is Bright: Empowering the Next Generation of ML Innovation

The overwhelmingly positive reception at ICLR 2024 serves as a powerful motivator, reinforcing CoCalc's deep commitment to empowering the machine learning community. By providing flexible and scalable compute options alongside a robust collaborative platform, our aim is to lower the barrier to entry for aspiring researchers and ultimately accelerate the pace of innovation within this rapidly evolving and transformative field. The entire CoCalc team is energized by the potential of the researchers and learners we connected with at ICLR and eagerly anticipates contributing to the exciting discoveries that lie ahead.

CoCalc at the Forefront of AI and Statistics: Engaging with the AISTATS Community

Our recent engagement with the AISTATS (International Conference on Artificial Intelligence and Statistics) community was a deeply enriching experience, connecting us with the researchers who are building the statistical foundations of intelligent systems. This pivotal conference serves as a vital forum for exploring the crucial intersection of statistical methodologies and the ever-evolving landscape of artificial intelligence.

AISTATS: Bridging the Theoretical and Applied in AI

AISTATS stands out as a key gathering where the theoretical rigor of statistics meets the practical advancements of AI. It's a space where researchers delve into the statistical underpinnings of machine learning algorithms, develop novel statistical tools for AI challenges, and foster a deeper understanding of the probabilistic and statistical aspects of intelligent computation. Recent AISTATS conferences have highlighted significant work in areas such as causal inference, probabilistic graphical models, Bayesian methods, and the statistical interpretability of complex AI models.

CoCalc: A Powerful Environment for AI and Statistical Research

At CoCalc, we are committed to providing a robust and collaborative environment that empowers researchers working at the intersection of AI and statistics:

• Integrated Statistical and AI Tools: CoCalc offers seamless access to essential statistical packages (like R, SciPy, statsmodels) alongside leading AI frameworks (like TensorFlow and PyTorch), all within a unified web-based platform. This eliminates the complexities of managing disparate environments.

• Collaborative Exploration: The process of statistical modeling and AI development often benefits immensely from collaboration. CoCalc's real-time sharing and co-editing features facilitate teamwork, enabling researchers to jointly analyze data, build models, and interpret results.

• Computational Resources for Rigorous Analysis: From computationally intensive Bayesian inference to the statistical evaluation of large AI models, CoCalc provides access to scalable computing resources to support the demanding nature of modern AI and statistical research.

• Promoting Methodological Transparency: Ensuring the transparency and reproducibility of statistical and AI research is crucial. CoCalc offers tools that aid in tracking code, managing data, and documenting the analytical process.

• Accessible Platform for Learning and Discovery: Whether you are a student grappling with the statistical foundations of AI or a seasoned researcher developing novel statistical AI methodologies, CoCalc provides an accessible and powerful platform for exploration and discovery.

Connecting with the AISTATS Community: Insights and Collaboration

Our participation in AISTATS was invaluable. We had the opportunity to connect with researchers tackling fundamental questions in AI through a statistical lens. The discussions we had about the computational challenges in areas like uncertainty quantification, model interpretability, and the development of statistically sound AI algorithms have directly informed our understanding of how CoCalc can better support this vital community.

Join the CoCalc Community: Powering the Future of AI and Statistics

If your work lies at the intersection of artificial intelligence and statistics, we invite you to explore how CoCalc can enhance your research and collaboration.

Experience the integrated power of statistical and AI tools within a collaborative environment. Sign up for a free CoCalc account today at https://cocalc.com and discover a platform designed to support your journey in unraveling the statistical underpinnings of intelligent systems.

With sincere appreciation for the rigor and innovation in AI and Statistics,

The CoCalc Team

CoCalc at Startup Grind Silicon Valley: Empowering Startup Innovation

We were excited to be in Silicon Valley for Startup Grind, where we connected with the dynamic community of founders, entrepreneurs, and investors who are shaping the future of innovation. This event provided a valuable opportunity to showcase how CoCalc can empower startups to thrive.

Connecting with the Startup Grind Community

Startup Grind is a global network that plays a crucial role in fostering entrepreneurship. Through its events and initiatives, Startup Grind works to educate, inspire, and connect individuals who are building the businesses of tomorrow.

At Startup Grind events, you'll find:

• Networking Opportunities: The chance to forge connections with peers, mentors, and potential investors.

• Educational Content: Insights from successful founders and industry experts.

• A Supportive Ecosystem: A community that understands the challenges of startup life.

How CoCalc Empowers Startups

CoCalc provides a powerful online platform that can be a game-changer for startups, particularly those working in data-driven or computationally intensive fields. We offer:

• Unified Workspace: A single environment for a wide range of tools and programming languages (Python, R, Julia, and more), streamlining workflows.

• Collaboration Tools: Features that enable teams to work together efficiently, share resources, and manage projects effectively.

• Scalable Infrastructure: Access to computing resources that can grow with your startup's needs.

CoCalc at the Event

Our CSO, Blaec Bejarano, engaged with attendees to demonstrate how CoCalc can address the specific needs of startups. We aimed to connect with startups, understand their unique challenges, and explore how CoCalc can support their growth.

We extend our thanks to Startup Grind for hosting such an important event for the startup community.

#startup #siliconvalley #startupgrind #innovation #technology #collaboration #computation

EGU (European Geophysical Union Assembly) 2024: Connecting with Geoscientists in Vienna

Hello everyone,

We were excited to participate in the European Geosciences Union (EGU) General Assembly 2024, which took place in the beautiful city of Vienna, Austria! This premier event, held annually, brought together geoscientists from all over the world to discuss the latest advancements in Earth, planetary, and space sciences. The EGU provided a vital platform for sharing knowledge, fostering collaboration, and shaping the future of geoscience research.

The EGU General Assembly covered a vast range of topics, from atmospheric science and climate change to hydrology, oceanography, and solid Earth geophysics. It was a crucial gathering for researchers, academics, and professionals dedicated to understanding our planet and its complex systems.

For the computational science community, the EGU General Assembly highlighted the increasing reliance on advanced computing tools and collaborative platforms. Researchers in geophysics and related fields often worked with massive datasets, ran complex simulations, and collaborated across institutions. This is where CoCalc shined.

CoCalc provided a powerful and versatile online platform that significantly enhanced the work of geoscientists. Here's how:

• Data Analysis: CoCalc supported a wide range of programming languages (including Python, R, and Julia) and scientific libraries, making it ideal for analyzing large geophysical datasets from various sources. Researchers could easily process, visualize, and interpret data within a collaborative environment.

• Collaborative Modeling: Many geophysical studies involve complex modeling and simulations that require teamwork. CoCalc's collaborative features allowed multiple researchers to work on the same project simultaneously, share code and data, and track changes efficiently. This streamlined the research process and promoted knowledge sharing.

• Reproducible Research: CoCalc promoted reproducible research by providing a consistent and documented environment for computational work. Researchers could save their code, data, and computational environment, making it easier to replicate and verify their findings.

• Running Complex Simulations: CoCalc provided access to computational resources, including support for parallel computing, which is essential for running computationally intensive simulations related to Earth system modeling, seismic analysis, and other geophysical applications.

• Sharing Research: CoCalc made it easy to share research findings, code, and data with colleagues, collaborators, and the broader scientific community.

We invited all EGU General Assembly attendees to visit us at booth #55. We showcased the latest improvements to the CoCalc platform and demonstrated how it empowered research.

We were especially pleased to announce that our CTO, Harald Schilly, a Vienna local, was at the booth on Wednesday, April 17th. Our CSO, Blaec Bejarano, was also there throughout the event, providing live demos of CoCalc and answering questions. This was a great opportunity to connect with the CoCalc team, see the platform in action, and discuss how it supported specific research needs. We looked forward to meeting attendees and discussing how CoCalc could help with their data analysis, modeling, and collaboration needs.

We hoped to see many attendees in Vienna! In the meantime, please feel free to learn more about CoCalc and sign up for a free account at https://cocalc.com to experience its collaborative capabilities firsthand.

Sincerely,

The CoCalc Team.

Advancing Collaborative Computational Research in the Geosciences

The 2023 Society of Industrial and Applied Mathematics (SIAM) Conference on Computational Issues in Geoscience, held in Bergen, Norway, showcased substantial advancements in tackling complex geoscientific challenges through innovative computational strategies. CoCalc was at the heart of this meeting, enhancing academic exchanges and fostering a collaborative ecosystem.

United Through Science

At CoCalc, our mission revolves around collaboration, data science, and computational excellence. Engaging with leading minds in applied mathematics at this conference was not only inspiring but also offered invaluable opportunities to enhance and synergize our platform with cutting-edge innovations. Such collaborations are integral to our commitment to simplifying mathematical computation and data science for all.

Distinguished Plenary Contributions

Esteemed experts shared groundbreaking insights:

• Francis X. Giraldo (Naval Postgraduate School, U.S.) enlightened us on Element-based Galerkin Methods, pushing forward the frontiers of weather prediction models, crucial for both global understanding and localized LES applications.

• Knut-Andreas Lie (SINTEF, Norway), with his exploration of Differentiable Simulators, revealed their significant impact on the development of geoenergy applications, highlighting leaps in software reliability and efficiency.

• Bradley Mallison (Chevron Technical Center, U.S.) provided substantial advancements in Numerical Methods for Subsurface Structure Modelling, paving the way for more precise and efficient geological workflows.

• Insa Neuweiler (University of Hannover, Germany) offered profound perspectives on Data Assimilation for hydrology, expertly balancing model accuracy with error management.

• Tiina Roose (University of Southampton, U.K.) emphasized the critical role of Image-Based Modelling in understanding Plant-Soil Interactions, advocating for greater recognition of the ecological services rendered by soil systems.

• Martin Vohralik (Inria Paris, France) concluded with impactful discussions on A Posteriori Error Estimates, enhancing computational precision in handling nonlinearities.

Showcasing the Best of CoCalc

Our participation underscored CoCalc's growth and dedication to applied mathematics and data science. Events like these not only allow us to present our capabilities but also to extend our influence by integrating new ideas into our platform—ensuring we continue delivering cutting-edge, user-friendly experiences.

A Grateful Resource for the Scientific Community

We extend our gratitude to the SIAM organizers for facilitating such an exceptional exchange of ideas and opportunities to engage with leading industry figures. CoCalc looks forward to future collaborations, always striving to contribute to, and benefit from, the continuous advancement of computational sciences.

Remember, whether you're engaged in research, instructing, or exploring the vast world of mathematics, CoCalc supports your endeavors. Sign up for a free account and start collaborating today.

CoCalc at SIAM Optimization 2023: Connecting with Real-World Problem Solvers

Hey everyone! We're still energized from our time at the SIAM Conference on Optimization in Seattle! For CoCalc, our platform for serious online math and data work, it was an invaluable opportunity to connect with those at the forefront of solving complex, real-world challenges.

Engaging with Brilliant Minds and Real-World Applications

Imagine a space filled with brilliant minds tackling everything from optimizing logistics for e-commerce giants to designing innovative medicines. That was the incredible energy of SIAM Optimization! We had the chance to showcase how CoCalc streamlines their work through easy collaboration, powerful calculations without complex setups, and seamless sharing of findings.

Fascinating Insights from Optimization Leaders

Beyond showcasing CoCalc, we were genuinely captivated by the research presented. Several talks particularly resonated with us:

Optimization in Action: Behind the Scenes at Amazon

A speaker from Amazon offered a fascinating look at how mathematical optimization drives countless daily decisions within their operations. It highlighted the tangible impact of optimization theory on everyday efficiency.

Advancing Algorithms for Complex Challenges

We also learned about cutting-edge techniques aimed at accelerating the solution of intricate optimization problems. This research holds the potential for significant breakthroughs across diverse fields, from artificial intelligence to engineering innovation.

Unifying Principles in Optimization

Another insightful presentation explored the fundamental principles that underpin various types of optimization problems. It provided a deeper understanding of the core logic driving a wide range of applications.

More Than Promotion: Being Part of the Optimization Community

For CoCalc, attending SIAM was about more than just platform promotion. It was about actively participating in a community dedicated to leveraging mathematics for real-world impact. Direct engagement with researchers and industry professionals provides invaluable inspiration for making CoCalc an even more effective tool for their vital work. Understanding their real challenges directly informs the development of features that truly make a difference.

A Big Thank You to SIAM and an Exciting Future

A huge thank you to SIAM for organizing such a fantastic and inspiring event! We left Seattle feeling energized and brimming with new ideas. We're excited to continue building CoCalc and supporting the remarkable work being done in the field of optimization.

Explore the Power of CoCalc

Whether you're a student embarking on your mathematical journey, a seasoned researcher tackling complex problems, or simply curious about the mathematical forces shaping our world, CoCalc is here to empower your exploration. Give it a try – it's free to get started! Sign up for a free account and see what you can discover!

CoCalc at SIAM Dynamical Systems 2023: Engaging with Cutting-Edge Research

Reflecting on a Valuable Experience in Portland

Dear Colleagues in Computational Science,

We at CoCalc: Collaborative Calculation and Data Science by SageMath, Inc. recently participated in the SIAM Conference on Dynamical Systems in Portland, Oregon (May 15-18, 2023). It was an exceptionally enriching experience, providing key insights into the field's current state and future directions.

Highlights from Leading Presentations

The conference showcased profound research. We were particularly engaged by presentations highlighting the increasing sophistication and interdisciplinary nature of our work:

Collective Motion and Sensing

Professor Alethea Barbaro's work on using dynamical systems to model collective motion with diverse sensing demonstrated the power of this framework in understanding complex multi-agent interactions.

Stability Analysis

Professor Alexandria Volkening illuminated the mathematical foundations of stability analysis, showcasing elegant theoretical tools for assessing the stability of complex systems.

The Ingenuity of Fundamental Principles

Professor Hugh Hunt's captivating discussion on the accuracy of pendulum clocks served as a reminder of the enduring power of fundamental dynamical systems principles.

Fluid Instabilities and Biological Behavior

Professor Sunghwan "Sunny" Jung's exploration of animal behaviors in response to fluid instabilities highlighted the deep connections between dynamical systems and fluid mechanics, offering insights for bio-inspired design.

Connecting with the Community and Informing CoCalc's Development

The conference facilitated vital exchanges and deepened our understanding of the computational needs within the dynamical systems community. This engagement directly informs the development of CoCalc, ensuring it remains a powerful tool for your research and teaching.

Gratitude to SIAM and Our Ongoing Commitment

We thank the SIAM organizers for creating such a productive environment. We remain committed to providing a collaborative computational environment that empowers researchers, educators, and students in their mathematical pursuits.

We encourage you to explore how CoCalc can support your work. Learn more and sign up for a free account at https://cocalc.com.

Sincerely,

The CoCalc Team.