The widespread use of social media has led to a surge in popularity for automated methods of analyzing public opinion. Supervised methods are adept at text categorization, yet the dynamic nature of social media discussions poses a continual challenge for these techniques due to the constant shifting of the focus. On the other hand, traditional unsupervised methods for extracting themes from public discourse, such as topic modeling, often reveal overarching patterns that might not capture specific nuances. Consequently, a significant portion of research into social media discourse still depends on labor-intensive manual coding techniques and a human-in-the-loop approach, which are both time-consuming and costly. In this work, we study the problem of discovering arguments associated with a specific theme. We propose a generic LLMs-in-the-Loop strategy that leverages the advanced capabilities of Large Language Models (LLMs) to extract latent arguments from social media messaging. To demonstrate our approach, we apply our framework to contentious topics. We use two publicly available datasets: (1) the climate campaigns dataset of 14k Facebook ads with 25 themes and (2) the COVID-19 vaccine campaigns dataset of 9k Facebook ads with 14 themes. Additionally, we design a downstream task as stance prediction by leveraging talking points in climate debates. Furthermore, we analyze demographic targeting and the adaptation of messaging based on real-world events.

Computer vision and intelligent video solutions now have the potential to revolutionize industries, improve operations, and enhance the quality of life for citizens. And with recent advancements in artificial intelligence and machine learning, it's easier and more accessible for businesses to unleash these solutions and compete in today's fast-paced, data-driven world. But developing and deploying computer vision and intelligent video applications at the edge requires strategic partnerships within the ecosystem. Intel systems integrators and IoT solution aggregators, for example, provide critical expertise and technologies necessary for success. You can see this for yourself at the International Security Conference & Exposition, ISC West, taking place March 28 to 31 at the Venetian Expo in Las Vegas.

LG Energy Solution announced the launch of its Advisory Council on Artificial Intelligence (AI). Joining forces with leading scholars specializing in AI technology, the Advisory Council is expected to play a major role in LGES's digital transformation and the establishment of a manufacturing intelligence platform. The newly formed council will set visions and business directions to enhance the company's digital transformation, as well as build the technological partnerships required to realize these ambitions. The company has appointed five AI experts as its committee members: Sungroh Yoon (Ph.D, Electrical Engineering, Stanford University), Byung-Gon Chun (Ph.D, Computer Science, University of California, Berkeley), Jinwoo Shin (Ph.D, Mathematics, Massachusetts Institute of Technology), Frank Chongwoo Park (Ph.D, Applied Mathematics, Harvard University), and Jong Min Lee (Ph.D, Chemical Engineering, Georgia Institute of Technology). Each advisory member will be assigned to a different division, and oversee the selection and execution of strategic assignments within their respective area of expertise.

More than 100 companies from Partner Country Portugal have already registered for HANNOVER MESSE 2022. Thanks to its excellent economic relations with Germany and its position as an attractive location for German business and investment, Portugal is Partner Country of HANNOVER MESSE 2022. Under the motto «Portugal Makes Sense», companies from Portugal will display products and solutions for digital transformation, energy transition and reliable supply chains and demonstrate to German companies why it makes sense to minimize risk by sourcing from, outsourcing to, innovating with, and investing in Portugal. The Portuguese contingent features a strong on-site presence, with a central pavilion and three thematic pavilions dedicated to the Engineered Parts & Solutions, Energy Solutions and Digital Ecosystems sectors. Each area features dozens of companies from Portugal with the most advanced technologies and processes.

What makes the fourth industrial revolution so different from previous industrial revolutions is the convergence and interaction between multiple technology trends at once. In this article, I list the ten major technology trends that are driving the fourth industrial revolution – trends that I believe will forever alter how we do business and live our lives. As processing power has increased and the size of computer microchips has shrunk, we've quickly become used to computers and devices getting smaller, lighter, cheaper, more powerful, and more ubiquitous. Looking ahead, probably the next big leap in computing power will come from quantum computers – computers that are so fast and powerful, they could be used to complete new, previously impossible tasks that traditional computers aren't capable of. The IoT refers to the increasing number of intelligent, connected devices and objects that are capable of gathering and transmitting data.

Municipalities, just like the industrial and commercial sectors, are coming under increased pressure to reduce their energy consumption and outputs, not to mention the need to reduce costs overall. Municipal buildings and services have a huge energy savings potential, which can reduce their overall energy consumption and energy costs. At Maximpact our expert teams have assisted municipalities all over the world to identify their energy saving capacity in various sectors. As cities around the world become more urbanised and populations grow, the pressure of cities to find sustainable solutions to serve their communities is only going to increase. Changes to municipalities in becoming more energy efficient and using artificial intelligence to manage energy resources are part of a global trend of developing smart cities. Smart cities are looking to the future to redefine their energy outputs in cleaner, more sustainable and more cost-efficient ways.