'She Has a Presence': The Superfans Who Turned Up for Opening Weekend WIRED attended two documentary screening parties--one on each coast--for the First Lady's film. For decades now, people have been wondering: Who is Melania Trump? The First Lady opens her 2024 memoir with a story about leaving her family in Slovenia to immigrate to America as a 26-year-old model. Ten years later, she became an American citizen. "It was not an easy process," she writes. "And my personal experience dealing with the trials of the immigration process opened my eyes to the difficulties faced by all who wish to become US citizens." OK, but what does that mean, exactly? Her husband, in both his terms as president, put harshly enforcing immigration policy at the center of his domestic agenda. This is all to say that I was authentically excited to see, the documentary that Amazon paid $40 million to acquire and $35 million to market. The director, Brett Ratner, previously accused of sexual misconduct by six different women, is currently in the news thanks to his appearance in a photo included in the most recent dump of Epstein files. What is Melania like behind closed doors?

Large language models (LLMs) have revolutionized knowledge storage and retrieval, but face challenges with conflicting and outdated information. Knowledge editing techniques have been proposed to address these issues, yet they struggle with robustness tests involving long contexts, paraphrased subjects, and continuous edits. This work investigates the cause of these failures in locate-and-edit methods, offering theoretical insights into their key-value modeling and deriving mathematical bounds for robust and specific edits, leading to a novel 'group discussion' conceptual model for locate-and-edit methods. Empirical analysis reveals that keys used by current methods fail to meet robustness and specificity requirements. To address this, we propose a Robust Edit Pathway (REP) that disentangles editing keys from LLMs' inner representations. Evaluations on LLaMA2-7B and Mistral-7B using the CounterFact dataset show that REP significantly improves robustness across various metrics, both in-domain and out-of-domain, with minimal trade-offs in success rate and locality. Our findings advance the development of reliable and flexible knowledge updating in LLMs.

Lebanon, Slovenia, and the United Arab Emirates (UAE) are the top three countries that are most interested in Artificial Intelligence (AI) crypto, according to CoinGecko's recent report. Countries with major economic problems, like Nigeria, Sri Lanka, and Pakistan, have also ranked higher in the charts -- while the U.S. was placed 33rd, the CoinGecko report stated. The report measured the search popularity of 14 English search terms related to AI crypto between Nov. 30, 2022, and Feb. 16. A 100 indicates maximum popularity, while 50 indicates half -- zero would mean there was not enough data to examine. Lebanon scored 100 on almost all 14 search terms -- collecting 1,200 points and ranking first on the list.

Do you always need to get to the bottom of how things work? Do you get heart palpitations when siphoning through great amounts of data? And do you live for the eureka moment when everything aligns and you find a clear story in the patterns? Celtra is expanding Data Insights team in Ljubljana, Slovenia with a Data Scientist, who will play the central role in enabling data-driven decisioning across all levels of our global company. If you are a curious, eager to learn and passionate data enthusiast on a mission to establish data-driven decisioning in designing, developing and positioning our new products, we are calling for you - a creative person who thrives in a disruptive global environment and who has a strong acumen for product management, product lifecycle, product analysis, customer value delivery, executive-level reporting, and data modeling & visualization!

From the early decades of the 20th century, Slovenia's history has primed the nation to become an AI pioneer and has greatly accelerated global progress in artificial intelligence solutions. Not only that, but the entrepreneurial blood that courses through Slovenia, as well as the country's human-centric, society-oriented approach to the digital future, is what has prompted the nation to launch some of the world's most innovative technologies. It is not difficult to see why UNESCO decided to partner strategically into Slovenia's scientific and technological might––there is simply no other nation on Earth that is taking leaps in AI as big as those emanating from the beating heart of Ljubljana. Let Slovenia's IRCAI serve as a premier example of what countries everywhere ought to be doing in order to stay ahead in the digital world of tomorrow. If a mostly unknown nation of just two million strong is capable of positioning itself as an AI powerhouse, so too can other countries.

It has crime, drama, adventure and also romantic movies in it.

The Slovenian government has announced plans, with official backing from UNESCO, to set up Europe's first international artificial intelligence research center. The Department of Intelligent Systems at the Jožef Stefan Institute (JSI) in Ljubljana will convert into a center that focuses on the governance and policies surrounding artificial intelligence (AI). At an event celebrating the 70th anniversary of the institute, Slovenia's Prime Minister, Marjan Šarec, said: "All of this Slovenian know-how which has been applied for all these years, and all the knowledge that we possessed in the past and that we still possess today is undoubtedly a reason for us, or should I say you, to be proud," Slovenia has a history and dedication to the field of AI- having embraced it as far back as 1972 when research at the JSI and the University of Ljubljana first began. In the 90s, there was a continued expansion of Slovenian AI research, starting with'heuristic search' into areas like machine learning and qualitative reasoning. As a result, this period provoked an increase in the presence of Slovenian researchers and publications in academia.

Global demographic and economic changes have a critical impact on the total energy consumption, which is why demographic and economic parameters have to be taken into account when making predictions about the energy consumption. This research is based on the application of a multiple linear regression model and a neural network model, in particular multilayer perceptron, for predicting the energy consumption. Data from five Balkan countries has been considered in the analysis for the period 1995-2014. Gross domestic product, total number of population, and CO2 emission were taken as predictor variables, while the energy consumption was used as the dependent variable. The analyses showed that CO2 emissions have the highest impact on the energy consumption, followed by the gross domestic product, while the population number has the lowest impact. The results from both analyses are then used for making predictions on the same data, after which the obtained values were compared with the real values. It was observed that the multilayer perceptron model predicts better the energy consumption than the regression model.

LJUBLJANA – Electrical equipment-producer Yaskawa, which is building an industrial robot factory in Slovenia, has decided to build another factory in the country to produce electrical components. The new factory will make inverter drives, servo drives and servo motors, Yaskawa said Monday. "Expanding our production capacity will enable us to further improve the supply chain, shorten our lead times and enhance the service for our European customers," Manfred Stern, head of Yaskawa Europe, said in a statement. Yaskawa did not reveal the value of the new investment, but according to local media it will be worth some €25 million ($30 million) and will create up to 250 new jobs. The company already makes industrial robot parts in Slovenia.