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This post covers three main areas: • Why Mixture of Experts is Needed in Transformers • How Mixture of Experts Works • Implementation of MoE in Transformer Models The Mixture of Experts (MoE) concept was first introduced in 1991 by
A new initiative designed to revolutionize seismic monitoring and forecasting using real time, advanced machine learning (ML) technologies is coming to the West Texas/New Mexico area. The U.S. Department of Energy (DOE) Technology Commercialization Fund awarded $1.8 million in funding to Lawrence Livermore National Laboratory (LLNL).
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June 30, 2025 — Empire AI, the New York State-based research consortium that is advancing artificial intelligence for the public good, will receive $40 million for its supercomputing center at the University of Buffalo. The funding, announced by New York Gov.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Apple is considering using AI models from OpenAI and Anthropic to power its updated version of Siri, rather than using technology the company has built in-house, according to a report from Bloomberg on Monday.
Apple is in talks with Anthropic and OpenAI to power the revamped version of Siri, potentially sidelining its own in-house AI models in the process. Here are the details.
Imitation learning for manipulation has a well-known data scarcity problem. Unlike natural language and 2D computer vision, there is no Internet-scale corpus of data for dexterous manipulation. One appealing option is egocentric human video, a passively scalable data source. However, existing large-scale datasets such as Ego4D do not have native hand pose annotations and do not focus on object manipulation.
In today’s world, AI image generation applications are rapidly exploding and transforming the way we create things. Today, with text-to-image generator tools, some applications can create realistic and specific images from simple text prompts. The application of this is enormous, so even choosing the best AI image generator depends on one’s needs.
The United Nations’ Global E-waste Monitor estimates that the world generates over 60 million tonnes of e-waste annually. Furthermore, this number is rising five times as fast as e-waste recycling. Much of this waste comes from prematurely discarded electronic devices. Many enterprises follow a standard three-year replacement cycle, assuming older computers are inefficient.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Cursor, the company known for its AI coding editor, introduced a web application. This app enables users to oversee a network of coding agents directly from their web browser, expanding access to Cursor’s tools beyond the integrated development environment (IDE). Anysphere, Cursor’s parent company, has been actively working to broaden its product reach and develop more agent-driven functionalities.
OpenAI is integrating Google’s custom TPU chips for specific workloads to manage operational costs, following the recent launch of its new image generation platform earlier in 2025. This strategic shift for OpenAI involves moving portions of its computing tasks to Google’s Tensor Processing Units (TPUs). This decision, reported by The Information , which cited an anonymous source, reflects a response to the increasing infrastructure demands placed on OpenAI, particularly since the in
The rapidly evolving field of AI and distributed computing marks an upheaval in the formerly monolithic paradigm. It ushers us into an era where a sophisticated web of intelligent agents is working with each other. Multi-Agent Systems (MAS) have become a paramount architectural paradigm transforming the industrial approach to complex computational problems.
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
On June 24, 2025, the Association for Computing Machinery (ACM) announced the launch of a new journal, ACM Transactions on AI Security and Privacy (TAISAP), designed to address critical research needs in securing AI systems and leveraging AI for cybersecurity. The establishment of TAISAP responds to the increasing ubiquity of AI technologies, which has generated a demand for specific research focusing on their security vulnerabilities and defensive measures.
Publish AI, ML & data-science insights to a global community of data professionals. Sign in Sign out Submit an Article Latest Editor’s Picks Deep Dives Newsletter Write For TDS Toggle Mobile Navigation LinkedIn X Toggle Search Search Machine Learning Lessons Learned After 6.5 Years Of Machine Learning Deep work, trends, data, and research Pascal Janetzky Jun 30, 2025 7 min read Share Photo by Anthony Tori When I started learning machine learning more than six years ago, the field was in the
Researchers at the Paul Scherrer Institute (PSI) developed a machine learning model to optimize cement formulations, aiming to reduce carbon dioxide (CO₂) emissions while maintaining mechanical performance through a novel modeling approach. The carbon footprint of cement Cement production involves heating ground limestone to 1,400 degrees Celsius in rotary kilns to produce clinker, the primary raw material for cement.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Your First Local LLM API Project in Python Step-By-Step Image by Editor | Midjourney Interested in leveraging a large language model (LLM) API locally …
A University of Nebraska–Lincoln engineering team, led by Eric Markvicka and graduate students Ethan Krings and Patrick McManigal, presented self-healing technology for soft robotics and wearable systems at the IEEE International Conference on Robotics and Automation. Award-winning research in biomimicry Their paper outlined a systems-level approach for soft robotics to identify damage, locate it, and autonomously initiate self-repair.
Neural networks surround us, in the form of large language models, speech transcription systems, molecular discovery algorithms, robotics, and much more. Stripped of anything else, neural networks are compositions of differentiable primitives, and studying them means learning how to program and how to interact with these models, a particular example of what is called differentiable programming.
Baidu announced its Ernie chatbot will become open-source, initiating a shift in the AI industry towards price competition. Baidu, a dominant force in China’s search market, confirmed the gradual release of Ernie’s open-source version, beginning immediately. This strategic change moves away from Baidu’s previous support for proprietary, closed systems.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Generative AI is rewriting the rules. From how we code to how we create, from business workflows to entire industries- this wave isn’t just another tech trend, it’s a full-blown shift in how we think, build, and innovate. And behind this revolution are a handful of pioneers– founders who’ve not only kept up with the […] The post Top 9 GenAI Founders to Meet at DataHack Summit 2025 appeared first on Analytics Vidhya.
Garbage in, garbage out (GIGO) highlights a fundamental truth in data processing: the quality of the output is only as good as the quality of the input. This principle resonates across various domains, from software development to data analysis, and underscores the critical relationship between input and results. Ensuring reliable data is paramount, especially as organizations increasingly leverage data-driven decision-making.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Google BigQuery stands out as a leading force in the realm of big data analytics, harnessing the power of the cloud to provide organizations with the tools they need to process and analyze vast amounts of data efficiently. With its ability to handle complex queries and deliver insights in real time, businesses can make informed decisions faster than ever before.
Researchers at Johns Hopkins APL, in collaboration with Samsung Research, have unveiled a breakthrough in solid-state cooling technology, doubling the efficiency of today’s commercial systems. Driven by the Lab’s patented nano-engineered thin-film thermoelectric materials and devices, this innovation paves the way for compact, reliable and scalable cooling solutions that could potentially replace traditional compressors across a range of industries.
Data compression is a fascinating aspect of modern computing, enabling us to save space and optimize the efficiency of data storage and transmission. Whether you are sending images, videos, or text files, compression plays a crucial role in making these processes faster and more affordable. By effectively reducing the size of files, data compression not only streamlines operations but also conserves valuable resources, making it an indispensable tool in our digital age.
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With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you
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