Large Language Models (LLMs), such as GPT-4 and Llama, have demonstrated remarkable abilities in generating natural language. However, they also pose security and integrity challenges. Existing countermeasures primarily focus on distinguishing AI-generated content from human-written text, with most solutions tailored for English. Meanwhile, authorship attribution--determining which specific LLM produced a given text--has received comparatively little attention despite its importance in forensic analysis. In this paper, we present DA-MTL, a multi-task learning framework that simultaneously addresses both text detection and authorship attribution. We evaluate DA-MTL on nine datasets and four backbone models, demonstrating its strong performance across multiple languages and LLM sources. Our framework captures each task's unique characteristics and shares insights between them, which boosts performance in both tasks. Additionally, we conduct a thorough analysis of cross-modal and cross-lingual patterns and assess the framework's robustness against adversarial obfuscation techniques. Our findings offer valuable insights into LLM behavior and the generalization of both detection and authorship attribution.

Cutaway view of a fictional space colony concept painted by artist Rick Guidice as part of a NASA art program in the 1970s. This story was originally published by Undark and is reproduced here as part of the Climate Desk collaboration. Elon Musk once joked: "I would like to die on Mars. Musk is, in fact, deadly serious about colonizing the Red Planet. Part of his motivation is the idea of having a "back-up" planet in case some future catastrophe renders the Earth uninhabitable. Musk has suggested that a million people may be calling Mars home by 2050 -- and he's hardly alone in his enthusiasm. Venture capitalist Marc Andreessen believes the world can easily support 50 billion people, and more than that once we settle other planets. And Jeff Bezos has spoken of exploiting the resources of the moon and the asteroids to build giant space stations. "I would love to see a trillion humans living in the solar system," he has said. Not so fast, cautions science journalist Adam Becker.

It has been over 15 years since the phrase "data is the new oil" appeared on the radar of enterprise CIOs. Since then, enterprise data stacks have evolved to support complex business intelligence tasks. Recently, in December 2022, we witnessed yet another tectonic shift thanks to ChatGPT by Open AI. As we synthesize the opportunities due to these shifts, it is clear that machine learning (ML) and artificial intelligence (AI) have exponentially transformed data stacks of enterprise IT and OT while providing new tools for digital transformation. Simultaneously, we have witnessed IT architectures maturing and adopting edge technologies, leading to bold proclamations that the "edge is eating the world!"

On January 7, the K-Start-ups attending the Consumer Entertainment Show, or CES in Las Vegas were awarded with the Global Media Awards 2023. They were selected in advance by press media from Europe, South Korea, Japan and the US as outstanding domestic innovators in attendance of the event. The awards were given based on the competitiveness, how likely they are to successfully enter the global market, how marketable they are and the investment value. The ceremony was held in the K-Startup Joint Pavilion. This year, the size of CES grew by an amazing 50% compared to 2022, with more than 2,800 companies attending from 173 countries around the world.

CoachHub is the leading global talent development platform that enables organizations to create a personalized, measurable and scalable coaching program for the entire workforce, regardless of department and seniority level. By doing so, organizations are able to reap a multitude of benefits, including increased employee engagement, higher levels of productivity, improved job performance and increased retention. Our programs are based on advanced R&D from our Coaching Lab, led by Prof. Jonathan Passmore and our Science Council. At CoachHub we are inspired by the idea of everyone experiencing the power of coaching – we want to democratize coaching for all career levels worldwide. Our People team contributes to our mission by bringing in the world's best talent and helping us to shine; our Talent Acquisition team supports our ambitious growth, while our People Experience team work to empower our CoachHubbers to feel engaged and be at their best.

There has been a growing realisation among businesses in recent years that becoming environmentally sustainable is a must, not a choice. Customers, investors and employees and industry regulators are all putting pressure on them to act before the climate crisis worsens to calamitous levels. Alongside this, the willingness of companies to publicise their progress in reducing their ecological impact is increasing. More than 3,400 organisations, with a combined market cap of £21.4tn, have registered their support for the Task Force on Climate-Related Financial Disclosures since it published its first reporting recommendations in 2017, for instance. AI has a key role to play in helping firms to hit the ambitious net-zero CO2 emissions targets they are setting themselves. The Global AI Adoption Index 2022, IBM's latest annual survey of uptake, found that two-thirds of the 7,500 IT chiefs it polled were either using AI to achieve sustainability goals or planning to do so.

Amidst the rise in hybrid working and the Great Resignation, employers understand that they must provide a competitive employee experience to attract, and crucially, to retain top talent. This should go hand in hand with digital transformation initiatives. Tangible benefits and salary alone are no longer sufficient to differentiate the employer brand and employee experience. Employers need to create a stronger emotional connection with employees to ensure they are engaged and connected with the organisation. As personalisation becomes ubiquitous, businesses must embrace an array of innovative digital tools to make the employee experience seamless.

Star Wars is one of the most popular sci-fi brands in history and has inspired and captivated generations of fans. Can this feat be repeated? I believe the booming Web 3.0 culture, supported by NFTs can be a launchpad for a new mega-hit cultural sci-fi brand. NFT (Non-Fungible Token) is a new world that lots of people are not familiar with. Imagine the Internet in the early 1990s.

A quick glance over our technological, scientific, and productive history over the past few decades shows a trend towards increasing specialisation. Getting into an area and becoming a true expert in it takes considerably more time than it did several decades or centuries ago. Business, while progressing slower towards the same trend, is still experiencing something similar. Explaining in-depth technical concepts with sufficient detail and nuance to a layman is becoming more troublesome. Machine learning is one such example – frequently used, but scarcely understood by people outside the technical world.

We produce a multitude of attributes (characteristics attached to an entity -- building, parcel, etc.) using various sources such as aerial imagery. The idea is to build Deep Learning models from a few thousand buildings using in-house-tagged labels or existing labels from open data. In a second step, the models are deployed on the whole French territory, which represents more than 35 million images to process (i.e. 4 TB of data to deal with). This second step is the focus of this post. The challenge is to be able to infer at low cost and in a short amount of time, (less than a day).