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Consumer auto trends in 2025 are showing that debt for auto loans and leases has increased by almost 15% in the last 10 years. Over 40% of Baby Boomers use captive financing more than other generations. 29% of Gen Z consumers opened an auto loan with a credit union.

Pilot report reveals median founder salary has dropped from $132,000 to $75,000. Percentage of bootstrapped companies relying on self-funding has jumped by a significant 77%. Percentage of founders taking no salary has decreased.

This section discusses limitations in both LongFact and SAFE, including the reliance on LLM capabilities, the potential issues with Google Search as a knowledge source, and challenges with repeated facts in the F1@K metric. Future work aims to improve the efficiency and reliability of these systems.

Gas is the unit that measures computational effort required to execute operations on the Ethereum blockchain. By reducing gas consumption by even 10-20%, developers can save users significant amounts over a contract's lifetime. Gas costs that aren't optimized can make entire business models unviable.

Financial literacy can remove the gap in the racial wealth class. It also results in access to several opportunities, including scholarships, grants, and other types of financial support. This guide attempts to educate you about some key financial concepts.

Generating PDFs from HTML is a common requirement for .NET developers, whether for invoices, reports, or web page exports.

Dominik Tomicevic is the founder and CEO of Memgraph. Memgraph is an open-source graph database designed for high-performance, real-time connected data processing. The company has over 150,000 members and serves a portfolio of Global 2000 customers.

This section explores existing benchmarks and evaluation methods for factuality in language models, highlighting the limitations of current systems for long-form responses. The SAFE approach, which leverages search-augmented verification, addresses these gaps by measuring both precision and recall, offering a more efficient and reliable alternative to human annotation

Fire Opal improves quantum data loading by up to 40% using AI optimization and error suppression on IBM hardware, tested with a quantum GAN algorithm.

amana isn’t just another trading app—it’s a purpose-built platform for the MENA region. From cloud-native design to offering 450+ crypto assets, amana merges traditional and modern investing in one seamless experience, aiming to empower a mobile-first generation with speed, choice, and local relevance.

Explore Burch ideals, depth-zero rings, and periodicity in resolutions with insights from Eisenbud, Dao, and Avramov in this algebraic deep dive.

ChangeNOW offers a free, no-code way to launch your own crypto exchange in under 3 days using their open-source API. With access to 1250+ coins, built-in liquidity, customizable features, and zero upfront costs, it's a fast-track to passive income for creators, developers, and entrepreneurs looking to join the Web3 movement.

More context improves label consistency, but excess context can reduce reliability in evaluating usefulness. Heuristic context works best for simplicity, while LLMs excel in dynamic settings.

Explore a novel AI framework for concept interoperability, using self-supervised learning and prototypes to ensure concept stability across domains.

See comprehensive experiments evaluating AI concept-learning across domains, showing superior generalization, concept fidelity, and detailed visual insights.

Discover detailed experiments evaluating a novel concept-learning AI framework across multiple datasets and comparing it to state-of-the-art methods.

Heuristic context significantly enhances crowdsourced label consistency, especially for relevance. LLM-generated context lags in quality, failing to match human-level context accuracy.

We propose a fast learning algorithm for quotient PDFA to model LLMs under constrained generation and validate its efficiency and real-world utility.

We propose a new congruence and learning algorithm to analyze constrained neural text generation using quotient probabilistic automata.

A deeper cryptanalysis shows IEACD remains insecure due to key reuse, weak keystreams, and flawed diffusion, even after fixing IEATD vulnerabilities.

A deep cryptanalysis reveals flaws in IEATD and IEACD image encryption schemes, exposing vulnerabilities to known and chosen plaintext attacks.

More context leads to higher agreement on relevance labels. However, usefulness ratings become inconsistent with excessive context due to user feedback contradictions.

In 2024, nearly one in five online purchases ended up being returned. The democratization of eCommerce platforms has created an explosion in online retail presence. Research shows that consumers are ten times more likely to make confident purchasing decisions when faced with fewer options.

Ever made a tough call on your own and immediately second-guessed it? Machine learning models can do the same.