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Published: May 2026 Pages: 342 The Quantum Investment Report & Company Directory 2026 is a comprehensive market intelligence publication from Future Markets that maps the global quantum technology sector at a pivotal moment in its commercial development. Spanning 342 pages, the report combines a detailed investment analysis with a directory of 313 quantum technology companies, giving strategists, investors, policymakers and industry participants a single authoritative reference to the people, capital and technologies shaping the quantum landscape. Part One, the Quantum Investment Report, traces investment in quantum technologies from the sector’s earliest research grants in 2012 through the first months…
Summary created by Smart Answers AIIn summary:Tech Advisor reports that Google released Android 17 QPR1 Beta 3 at Google I/O, featuring new UI elements alongside standard bug fixes.The beta is available for Google Pixel 6 through Pixel 10 devices and will serve as the foundation for September’s Pixel Drop update.This release matters for Pixel users seeking early access to Android improvements before the official September rollout. Google has rolled out Android 17 QPR1 Beta 3 at Google I/O, and it adds a few new UI elements to the usual roster of bug fixes. The first stable release of Android 17…
Subscribers can watch the full recording now. World models are also one of MIT Technology Review’s 10 Things That Matter in AI Right Now, our list of what’s really worth your attention in the busy, buzzy world of AI. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Trump has postponed an AI order due to overregulation fearsHe said he was concerned it would be “a blocker.” (CNBC)+ And that he wants to preserve the US’s lead over China in AI. (Reuters $)+ A source said the delay was because he “just hates…
Press Release In the coming years, the competitiveness of EU economies will directly depend on their ability to access massive computing power that is available, affordable and sovereign. The challenge is industrial, financial and strategic: enabling European companies to train, deploy and operate their AI models under controlled conditions in terms of performance, cost and sovereignty. This is precisely the aim of the project put forward by the AION consortium. Mobilizing French excellence to build world-leading AI infrastructure In response to the rapid adoption of AI and the explosion in demand for computing power, AION brings together all of the…
In this article, you will learn how to build a context-aware semantic search engine in Python that combines embedding-based similarity with structured metadata filtering. Topics we will cover include: How sentence embeddings and cosine similarity work together to find semantically relevant documents. How to build a metadata-aware search index that filters by team, status, priority, and date before scoring candidates. How to persist the index to disk so embeddings are computed only once and reloaded efficiently on subsequent runs. Building Context-Aware Search in Python with LLM Embeddings + Metadata Introduction Keyword search breaks the moment a user types something a…
pandas remains the default choice for notebooks, exploratory analysis, visualization, and machine learning workflows. Polars focus on fast, memory-efficient DataFrame processing, while DuckDB brings a SQL-first approach for querying local files and embedded analytics. Each tool fits a different kind of local data workflow. In this article, we compare pandas, Polars, and DuckDB across performance, architecture, interoperability, and real-world use cases. Differences Between pandas, Polars, and DuckDB For the ones looking for a high level difference between the three libraries, the following table should work: Area pandas Polars DuckDB Main identity Python DataFrame library High-performance DataFrame engine Embedded analytical database…
With special thanks to Arkaprabho Ghosh and David Reed. As AI continues to transform the enterprise landscape, the challenge for large organizations isn’t just adopting the technology—it’s scaling it effectively. At Cisco, we recognized that while our teams were eager to build Retrieval-Augmented Generation (RAG) applications, the process was often fragmented. Developers were spending months stitching together different components of a RAG pipeline—such as loaders, splitters, embedding models, and vector databases. Each component carried its own learning curve and operational overhead. The burden of evaluating an overwhelming number of open-source tools and endlessly experimenting with various configurations to find the…
Ravie LakshmananMay 23, 2026Software Supply Chain / DevSecOps GitHub has rolled out new controls for npm to improve the security of the software supply chain, giving maintainers the ability to explicitly approve a release prior to the packages becoming publicly available for installation. Called staged publishing, the feature is now generally available on npm. It mandates that a human maintainer pass a two-factor authentication (2FA) challenge to approve a package before it is pushed to the npmjs[.]com. “Instead of a direct publish that immediately makes a package version available to consumers, the prebuilt tarball is uploaded to a stage queue…
Like all knowledge workers, sustainability professionals are trying to navigate the accelerating deployment of artificial intelligence along with its ravenous appetite for energy, water and other critical inputs. Another important question is less considered: What can we not afford to turn over to AI? Where should a human-in-the-loop become a human calling the shots? Here are three instances: Don’t let AI dictate your level of sustainability ambition AI optimizes against the value model it inherits. For most companies, that model is the financials as currently structured — where carbon intensity doesn’t show up in sourcing decisions, water risk isn’t booked…
The components I’ve been announcing recently certainly hinted at what I’m working on at the moment. A bash playground that lets me exercise SwiftBash, SwiftScript and SwiftPorts all tied together via ShellKit. There was one part that was on my private repo: the agentic harness and pure Swift wrappers for OpenAI APIs. I kept thinking that if I wanted to eventually make my Bash Playground public, then I needed to also have this final part on GitHub as well. My mission statement for iBash is to have a universal app that gives me a virtual shell with a workspace in…