The Mathematics Search Engine

12+ min ago (687+ words) Researchers have developed a modified theory of gravity where the connections defining spacetime are treated as independent entities, potentially explaining dark energy and predicting a novel force acting on objects in quantum superpositions. https://quantumzeitgeist.com/wp-content/uploads/wave_particles-768x576-1.jpeg Reconciling quantum mechanics with general relativity remains one of the most profound challenges in modern physics, largely because gravity's description of spacetime fundamentally shapes how quantum phenomena unfold. Johas Morales and Yuri Bonder, from the Instituto de Ciencias Nucleares Universidad Nacional Aut'noma de M'xico, investigate a novel approach to this problem by exploring the interplay between quantum correlations and gravity. Their work proposes a new model where the connections defining spacetime are treated as independent entities, potentially resolving inconsistencies between the two theories. This framework not only predicts a natural emergence of a positive cosmological constant, explaining the accelerating expansion of the universe, but also suggests…...

16+ min ago (553+ words) The mobile app landscape in 2026 has reached a definitive turning point. For over a decade, development was defined by manual syntax writing and painstaking debugging cycles. Today, the integration of advanced AI assistants into the integrated development environment (IDE) has transitioned the role of the developer from a "coder" to a "system architect." Before 2024, mobile development faced a "triple threat" of rising costs, talent shortages, and platform fragmentation. Developers had to maintain separate codebases for iOS and Android or settle for cross-platform solutions that often compromised on performance. Every new feature required weeks of manual testing and regression analysis. By 2025, the complexity of modern apps'incorporating spatial computing and edge AI'made traditional manual workflows unsustainable. The industry reached a breaking point where the time-to-market for a standard functional app exceeded the pace of market change. Businesses needed a way to bridge…...

26+ min ago (288+ words) I create a one-million-document collection and index it with the ESR (Equality, Sort, Range) Guideline in mind: I run a query that completes in 1 millisecond on MongoDB but takes seconds in the Oracle Database emulation. It's a simple pagination query combining: The query is executed and returns the result: After running it, I can get the SQL Monitor report for the last query in my session by calling the dbms_sqltune function through the $sql aggregation stage: The output shows the underlying SQL query generated by the emulation, with its execution plan and execution statistics: Returning those 10 rows used 1.18 seconds of CPU because it used the index only for the filters, returning 166,666 rows that had to be deduplicated (HASH UNIQUE), and sorted (SORT ORDER BY STOPKEY) before returning the result. It uses a SORT UNIQUE but still doesn't preserve the index ordering…...

37+ min ago (161+ words) Zencoder Launches Zenflow to End the Era of Vibe Coding and Bring Engineering Discipline to AI Cloudflare, Inc. , the leading connectivity cloud company, and JD Cloud, an intelligent technology service provider and affiliate of JD.com, announced plans for a significant expansion of their partnership, aimed at creating a global platform that empowers developers to deploy, manage, and scale AI inference workloads seamlessly. JD Cloud said that Cloudflare's mission complements JD Cloud's commitment to delivering premier services to its partners and customers. By leveraging JD.com's extensive experience across a range of business scenarios and the advanced technological and logistical capabilities, this partnership ensures JD Cloud can continue to deliver market leading services for users and businesses. Straits AI and Colares Linhares Sign MOU " Colares Joins Consortium to Develop Sovereign AI Supercluster in Brazil AI-Powered: Ecer.com Leads the Intelligent…...

45+ min ago (14+ words) Stantons" Newsletter Winter 2025 " quartz PreviewDownload December 17, 2025 by Keith and Jacqueline Stanton...

49+ min ago (215+ words) Planetary geology surveys present a unique constellation of constraints: Sparse coding solves the optimization problem: While learning about quantum annealing for optimization problems, I observed that the sparse coding objective function could be reformulated as a Quadratic Unconstrained Binary Optimization (QUBO) problem: Where z are binary variables representing dictionary atom activations. My experimentation with D-Wave's quantum annealer showed that for certain problem sizes, quantum approaches could find better sparse representations than classical algorithms like LASSO or OMP (Orthogonal Matching Pursuit), particularly when the underlying geological structures had complex correlations. Here's the core federated learning loop I implemented during my research: One of the most challenging aspects I encountered was designing an efficient quantum-classical interface. Through my experimentation with Rigetti's quantum cloud platform, I developed this hybrid optimization routine: During my research with Mars spectral data, I implemented this specialized feature…...

1+ hour, 25+ min ago (589+ words) UPDATED 09:00 EST / DECEMBER 17 2025 Retell AI Inc., an artificial intelligence voice platform, today announced the addition of a quality assurance solution for voice AI named Retell Assure that monitors calls, surfaces issues and reduces the need for human spot checks. Evie Wang, co-founder and chief marketing officer of Retell, told SiliconANGLE in an interview that as companies deploy AI at large scale, many are still relying on human reviewers to audit AI performance. This approach puts them on a path that cannot scale readily with call volume. "One of their pain points is they still use humans to monitor the performance of AI voice agents," Wang said. "They use Excel sheets and ask a group of 20 human agents to listen to AI calls and add columns to see if there are issues." Human oversight can capture nuance, but it cannot cover…...

1+ hour, 31+ min ago (463+ words) Today's hottest innovations all trace back to four core pillars: data, algorithms, models, and evaluation " the essence of ML fundamentals. Without these, you don't get practical systems like: The difference between a trendy tool and a powerful system lies in how well it's trained, validated, and monitored " the same principles you'll find in beginner machine learning frameworks. If you want step-by-step clarity, you can refer to our detailed guide on machine learning basics to build context before exploring cutting-edge applications. Several key trends are reshaping ML adoption right now: 1. AI Platforms Becoming Mainstream Tools Platforms now offer plug-and-play ML services, making it easier for teams without data science backgrounds to build intelligent features. From retail to healthcare, automated pipelines are turning data into actionable prediction models without complex coding. Consumers today expect personalized experiences in real time. Streaming platforms, search…...

1+ hour, 44+ min ago (1543+ words) Elvin Suleymanov " Software Engineer | C# & .NET Specialist | Systems Thinking "Clean code, solid architecture, and real business value " that's my development philosophy." The proliferation of user-generated content, document management systems, and media-rich applications has made efficient file storage a critical concern for modern web applications. As applications scale, the decision of where and how to store binary data becomes increasingly important, affecting performance, cost, maintainability, and user experience. The choice between database storage and object storage impacts all of these dimensions, yet clear guidance based on empirical evidence is often lacking. This research aims to: This study focuses on: The remainder of this article is organized as follows: Recent work by Pavlo et al. [3] on database storage engines has highlighted the write amplification issues inherent in B-tree structures when handling large binary data. The research demonstrates that traditional database storage can…...

2+ hour, 16+ min ago (340+ words) How AI Learns to Fix Its Own Mistakes in Image and Text Tasks Imagine a smart system that writes captions or answers about pictures, but early errors spoil everything it writes next. Researchers changed the simple clean the noise habit into a way to actively refine its drafts. First the model learns to spot made-up errors, then it practices fixing its own rough tries by looking at expert fixes. This gives the system a real chance to self-correct, instead of just hoping each step is perfect. The result, is fewer broken sentences and less made-up facts, more steady, readable output. Because it can revise what it already wrote, the old chain of mistakes " the nasty error cascade " gets stopped early. That also lets the system produce many parts at once, faster and more stable than before. You get clearer captions…...