This thesis advances the computational understanding and manipulation of text styles through three interconnected pillars: (1) Text Style Transfer (TST), which alters stylistic properties (e.g., sentiment, formality) while preserving content; (2)Authorship Attribution (AA), identifying the author of a text via stylistic fingerprints; and (3) Authorship V erification (A V), determining whether two texts share the same authorship. We address critical challenges in these areas by leveraging parameter-efficient adaptation of large language models (LLMs), contrastive disentanglement of stylistic features, and instruction-based fine-tuning for explainable verification. First, for TST, we conduct a comprehensive survey and reproducibility study of 19 state-of-the-art algorithms, establishing benchmarks across diverse datasets. Building on these insights, we introduce LLM-Adapters, a unified framework for parameter-efficient fine-tuning (PEFT) that enables cost-effective adaptation of LLMs for style-centric tasks. This culminates in Adapter-TST, a novel architecture that models multiple stylistic attributes (e.g., sentiment, tense) using lightweight neural adapters. Adapter-TST achieves superior performance in multi-attribute transfer and compositional editing while reducing computational costs by 80% compared to full fine-tuning. For AA, we propose ContrastDistAA, a contrastive learning framework that disentangles content and style features to address performance degradation under topic shifts. Our method advances both individual-level attribution and regional linguistic analysis, achieving state-of-the-art accuracy by isolating culturally influenced stylistic patterns.

Large Language Models (LLMs) have shown remarkable capabilities in knowledge-intensive tasks, while they remain vulnerable when encountering misinformation. Existing studies have explored the role of LLMs in combating misinformation, but there is still a lack of fine-grained analysis on the specific aspects and extent to which LLMs are influenced by misinformation. To bridge this gap, we present MisBench, the current largest and most comprehensive benchmark for evaluating LLMs' behavior and knowledge preference toward misinformation. MisBench consists of 10,346,712 pieces of misinformation, which uniquely considers both knowledge-based conflicts and stylistic variations in misinformation. Empirical results reveal that while LLMs demonstrate comparable abilities in discerning misinformation, they still remain susceptible to knowledge conflicts and stylistic variations. Based on these findings, we further propose a novel approach called Reconstruct to Discriminate (RtD) to strengthen LLMs' ability to detect misinformation. Our study provides valuable insights into LLMs' interactions with misinformation, and we believe MisBench can serve as an effective benchmark for evaluating LLM-based detectors and enhancing their reliability in real-world applications. Codes and data are available at https://github.com/GKNL/MisBench.

Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. Major League Soccer is taking an innovative approach to scouting. The league has partnered with ai.io, the makers of mobile phone scouting app aiScout, in an effort to discover new soccer talent across the North American continent. Every MLS first team clubs, as well as MLS Next Pro and MLS Next teams, are expected to have access to the AI-powered platform.

As the world continues to move towards automation, architecture has become an increasingly attractive solution for architects and urban planners. By combining the power of artificial intelligence (AI) with traditional architecture and urban design techniques, architecture offers a new and innovative approach to designing future cities and structures. This paper will explore architecture's potential to change how we design and build our cities and structures. Architecture is a computer-aided design that incorporates elements of artificial intelligence into traditional architectural and urban design principles. The architecture allows machine learning algorithms to assist in creating designs from basic building blocks, such as walls, windows, doors, arches, etc. Architecture also explores the potential of using simulated environments to test and evaluate a wide range of design solutions.

This special issue highlights the applications, practices and theory of artificial intelligence in the domain of cyber security. In the past few decades there has been an exponential rise in the application of artificial intelligence technologies (such as deep learning, machine learning, block-chain, and virtualization etc.) for solving complex and intricate problems arising in the domain of cyber security. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The primary objective of this topical collection is to bring forward thorough, in-depth, and well-focused developments of artificial intelligence technologies and their applications in cyber security domain, to propose new approaches, and to present applications of innovative approaches in real facilities. AI can be both a blessing and a curse for cybersecurity.

Waabi is a new autonomous vehicle startup with a few things going for it to help it rise above the fray. For one, it's founded by Raquel Urtasun, a renowned expert in computer vision who ran Uber Advanced Technology Group's Toronto outpost, making it one of the few women-led AV startups in the world. Second, the Toronto-based company just came out of stealth having raised $83.5 million, which is among the largest Series A rounds ever raised in Canada. The round was led by Khosla Ventures, with additional participation from Urtasun's former employer, Uber, and Aurora, the AV startup that ended up acquiring Uber ATG in a deal last year. Funding was also raised from 8VC, Radical Ventures, Omers Ventures, BDC, AI luminaries Geoffrey Hinton, Fei-Fei Li, Pieter Abbeel, Sanja Fidler, and others.

The restaurant industry is a tough nut to crack. Despite their consumers' capricious nature, the industry largely remained stiff and staid in bringing new approaches to market. Then food trucks shook things up. Ten years ago, as the global economy was in shambles and social media began to rise, the food truck movement took shape. Restaurateurs could launch concepts faster, at lower costs, then test new markets, and more readily see what diners had to say about them. A decade later, changes in technology and culture have given rise to the latest innovative approach to the restaurant industry, the cloud kitchen.

Written by an author team of experts in their fields, this authoritative guide demystifies even the most difficult mathematical concepts so that you can gain a clear understanding of data structures and algorithms in C . The unparalleled author team incorporates the object-oriented design paradigm using C as the implementation language, while also providing intuition and analysis of fundamental algorithms. Building on the success of the first edition, this new version offers you an innovative approach to fundamental data structures and algorithms.

Fred Rogers of Mister Rogers' Neighborhood shared that his mother would say, in times of crisis, "Look for the helpers. You will always find people who are helping." This advice holds true when looking at the potential for artificial intelligence to change the world. People are using technological advances to create and experiment with innovative approaches to global issues that have affected humanity for generations. The plight of displaced persons, the global food crisis and natural disasters are real challenges people face every day.

As the emergence of AI grows stronger, many have begun to conflate this technology with the previous wave of automation that has gone before it. Chris Boos, CEO and founder of Arago refutes this stance, and explains how publishers and other businesses are already practically applying artificial intelligence to their brands. Chris Boos is featured prominently on the homepage of the Arago website, along with an immediate introduction to his own personal mission statement: 'empowering human potential, freeing up time for creativity and innovative thinking through artificial intelligence (AI).' It's a notably human-focussed shop window for the now 23 year old German company, which specialises in helping clients to leverage artificial intelligence to reinvent their business models for the digital age. One anecdote Boos tells us is around the computer game Civilisation, where the turn-based strategy has been used to facilitate greater machine learning within an investment fund. As he talks about the ability of games to educate both children and adults, it's clear that Boos is taking a'ground up' approach to building digital intelligence.