Both humans and machine learning models learn from experience, particularly in safety- and reliability-critical domains. While psychology seeks to understand human cognition, the field of Explainable AI (XAI) develops methods to interpret machine learning models. This study bridges these domains by applying computational tools from XAI to analyze human learning. We modeled human behavior during a complex real-world task -- tuning a particle accelerator -- by constructing graphs of operator subtasks. Applying techniques such as community detection and hierarchical clustering to archival operator data, we reveal how operators decompose the problem into simpler components and how these problem-solving structures evolve with expertise. Our findings illuminate how humans develop efficient strategies in the absence of globally optimal solutions, and demonstrate the utility of XAI-based methods for quantitatively studying human cognition.

All hyperparameters used to create the first version of benchmark are presented in Table 2. 2 Table 2: Hyperparameters for finetuning the language models.Max. Table 3: Accuracy performance of evaluated models on the test subsets. Additionally, we indicate datasets previously appeared in the KLEJ benchmark with *. HerBERT (base, cased) HerBERT (large, cased) PolBERT (base, cased) PolBERT (base, uncased) XLM-RoBERTa (paraphrase) CDSC-E* 94. 02 0. 33 93 . Additionally, we indicate datasets previously appeared in the KLEJ benchmark with *.

I have questions about Denis Villeneuve's Dune: Part Two. If the Fremen have lasers, why don't they just shoot the sand harvesters and run away? Why don't they use their sandworms until the last battle? Wouldn't it make more sense to fight the other great houses on Arrakis itself, where they have sandworms, rather than board ships off-world to go off to war? If Paul (Timothée Chalamet) has to invade the galaxy at the end, why bother marrying the daughter of the emperor he just deposed?

Pre-trained language models have revolutionized the natural language understanding landscape, most notably BERT (Bidirectional Encoder Representations from Transformers). However, a significant challenge remains for low-resource languages, where limited data hinders the effective training of such models. This work presents a novel approach to bridge this gap by transferring BERT capabilities from high-resource to low-resource languages using vocabulary matching. We conduct experiments on the Silesian and Kashubian languages and demonstrate the effectiveness of our approach to improve the performance of BERT models even when the target language has minimal training data. Our results highlight the potential of the proposed technique to effectively train BERT models for low-resource languages, thus democratizing access to advanced language understanding models.

The 1969 novel Dune Messiah is a sequel to Frank Herbert's sci-fi classic Dune. TV writer Andrea Kail is a diehard fan of the original Dune, but has always found the sequel disappointing. "Overall, as a book, it just feels like it's very unformed," Kail says in Episode 537 of the Geek's Guide to the Galaxy podcast. "It just felt like, 'These are the ideas, and I put these ideas down, and here's a first draft. Now let's go back and fix it.' And then, no, never went back to fix it."

Demand for freelance coders notched the second-biggest gain, up 45.5%, followed by back-end developers, up 37.7%, the firm said. Last month, by contrast, new job postings by U.S. employers for full-time IT workers fell 12% from August to roughly 300,000, according to IT trade group CompTIA. Yet beyond cost-cutting efforts, employers say they are responding to a growing talent pool of IT freelancers with niche skills in areas like artificial intelligence, which can be tapped for specific, short-term enterprise-technology tasks. "You're looking for highly specialized skills that you wouldn't particularly want to hire for, if it weren't for a given project," said Balaji Bondili, a managing director at accounting firm Deloitte. Deloitte is a sponsor of CIO Journal.

John Laird, the John L. Tishman Professor of Engineering, has been awarded the 2018 Herbert A. Simon Prize for Advances in Cognitive Systems along with his collaborator Prof. Paul Rosenbloom of the University of Southern California. This award recognizes the pair's research on cognitive architectures, especially their Soar project, their applications to knowledge-based systems and models of human cognition, and their contributions to theories of representation, reasoning, problem solving, and learning. The recipients, the awarding committee writes, have been "energetic contributors to AI and cognitive science" for over 30 years. Laird's and Rosenbloom's interdisciplinary and integrative research, both jointly and individually, has addressed many facets of high-level cognition, and their contributions to Soar have helped create one of the industry's most successful tools for developing intelligent systems. Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior.

Don't tell Frank Herbert (or the people at Thinx), but he actually came up with a pretty genius pair of menstrual underwear. Only, well, his was outerwear--and it did a lot more than collect blood and endometrial lining. Herbert's invention is, of course, the stillsuit. One of the iconic pieces of tech in his novel Dune--and an iconic piece of sci-fi tech, period--it's an invention born of necessity. Arrakis, where most of the novel takes place, is a desert; to survive, the planet's native Fremen construct form-fitting suits that collect all of their moist excretions--sweat, urine, feces, droplets from exhaled breath--and recycle them into potable water.

VENICE LIDO, Italy – When the highly anticipated remake of Frank Herbert's influential '60s novel world premiered in September at the Venice Film Festival, it was "Dune -- Part 1." Now as Denis Villeneuve's lauded adaptation opens nationwide, it's simply "Dune" -- maybe because no one knows if there will be a concluding Part 2. "The biggest challenge," said Villeneuve ("Sicario," "Arrival") "is that the book is so rich and its strength is all in its details. I had to find equilibrium for someone who doesn't know the book at all and be as cinematic as possible. So that they will need to understand the movie without crushing them with exposition. So the ideas could follow the story." "Dune" is set far into a future where Oscar Isaac's Duke rules the kingdom of Atreides.

Life during the Covid-19 pandemic would be even more difficult without the Internet and automation, making this year timely for the upcoming "Dune" film to portray a distant future where humanity is devastated by our dependence on machines. Director Dennis Villeneuve is set to release his adaptation of the science fiction epic on October 22, both on HBO Max and in movie theaters. The release was delayed from last December to make it safer for people to view and hear the space fantasy in theaters. WarnerMedia aims to distribute Villeneuve's vision of the first "Dune" novel in two films, but has not yet scheduled a release date for the second film after the first half is released. Frank Herbert's "Dune" novel begins in the far distant future, thousands of years after humans were enslaved by robots, fought a revolutionary crusade and banned artificial intelligence with a new anti-tech religion.