IC3K 2025 (17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management) received 163 paper submissions from 40 countries. To evaluate each submission, a double-blind paper review was performed by the Program Committee. After a stringent selection process, 31 papers were published and presented as full papers, i.e. completed work (12 pages/25' oral presentation), 81 papers were accepted as short papers (54 as oral presentation). The organizing committee included the IC3K Conference Chairs: Ricardo da Silva Torres, Artificial Intelligence Group, Wageningen University & Research, Netherlands and Jorge Bernardino, Polytechnic University of Coimbra, Portugal, and the IC3K 2025 Program Chairs: Le Gruenwald, University of Oklahoma, School of Computer Science, United States, Frans Coenen, University of Liverpool, United Kingdom, Jesualdo Tomás Fernández-Breis, University of Murcia, Spain, Lars Nolle, Jade University of Applied Sciences, Germany, Elio Masciari, University of Napoli Federico II, Italy and David Aveiro, University of Madeira, NOVA-LINCS and ARDITI, Portugal. At the closing session, the conference acknowledged a few papers that were considered excellent in their class, presenting a "Best Paper Award", "Best Student Paper Award", and "Best Poster Award" for each of the co-located conferences.

ICINCO 2025 (22nd International Conference on Informatics in Control, Automation and Robotics) received 158 paper submissions from 42 countries. To evaluate each submission, a double-blind paper review was performed by the Program Committee. After a stringent selection process, 43 papers were published and presented as full papers, i.e. completed work (12 pages/25' oral presentation), 86 papers were accepted as short papers (51 as oral presentation). The organizing committee included the ICINCO Conference Chair: Dimitar Filev, Ford Research, United States, and the ICINCO 2025 Program Chairs: Giuseppina Carla Gini, Politecnico di Milano, Italy, and Radu-Emil Precup, Politehnica University of Timisoara, Romania. At the closing session, the conference acknowledged a few papers that were considered excellent in their class, presenting a "Best Paper Award", "Best Student Paper Award", "Best Poster Award", and "Best Industrial Paper Award" for the conference.

IC3K 2024 (16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management) received 175 paper submissions from 47 countries. To evaluate each submission, a double‐blind paper review was performed by the Program Committee. After a stringent selection process, 37 papers were published and presented as full papers, i.e. completed work (12 The organizing committee included the IC3K Conference Chair: Jorge Bernardino, Polytechnic University of Coimbra, Portugal and the IC3K 2024 Program Chairs: David Aveiro, University of Madeira, NOVA- LINCS and ARDITI, Portugal, Antonella Poggi, Università di Roma "La Sapienza", Italy, Ana Fred, Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon), Portugal, Le Gruenwald, University of Oklahoma, School of Computer Science, United States, Elio Masciari, University of Napoli Federico II, Italy and Frans Coenen, University of Liverpool, United Kingdom. At the closing session, the conference acknowledged a few papers that were considered excellent in their class, presenting a "Best Paper Award", "Best Student Paper Award" and "Best Poster Award" for each of the co-located conferences. A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a CCIS Series Book.

The idea behind the Short Play column was to recommend games that anyone could finish in a weekend, because people finishing games turns out to be a surprisingly rare occurrence. And the longer a game gets, the more difficult it becomes. We've recommended 26 different short games over the last year, but if you are looking for the best of the best, here are six games that have stood out from the rest for one reason or another. And they're short enough that you might even be able to finish them all before the end of the year. Video games have long tried to adapt techniques from film for storytelling purposes to varying degrees of success.

This is not the first time we have discussed artificial intelligence in the Inside HR Tech column, and it quite likely won't be the last time. Judging by my unscientific but still reasonably accurate measure of the relative importance of an HR-technology topic or trend based on how much attention it received at recent HR Technology Conferences, I reckon that AI has emerged in the last five years as the single most discussed topic in HR tech. If it seems to you that everyone is talking or writing or speaking about AI in HR and in the workplace, you are pretty much correct. Even so, the topic feels so important for HR, for employees, for workplaces, that it may not (yet) be possible to pay too much attention to AI. That's the conclusion I reached recently while reading some of the latest applications of AI technology in the workplace.

CES, the annual technological bacchanal in the desert, is set to begin Tuesday, Jan. 8. But if, like me, you're going to the event as a member of the media, you've likely been inundated with pitches from companies, asking for a moment of your time when you're in town, since August. There are over 4,000 companies registered to attend, and countless more that book rooms at nearby casinos and hotels, hoping you'll leave the show floors for a quick visit. There are a few trends that pop up every couple years at CES, and one that has emerged in recently is "the internet of things," where every device must be made "smart" by jamming a computer inside of it and connecting it to the internet. Some of these are super useful--a fire alarm that can alert your phone when you're not home--but many are gimmicky at best.

World governments have an insatiable need to make incremental improvements in the services they deliver while at the same time tackling the longer-term public sector challenges that limit their socioeconomic potential. As leading nations have discovered, the right use of digital technology is the pathway to achieving both objectives. Successful nations have technology strategies that are both aggressively practical and profoundly aspirational. A breakthrough global public-private partnership recently collaborated to identify the top 10 government technology (govtech) initiatives worldwide that will contribute the most to sustainable improvements in 192 countries' economies and societies. MIT Technology Review Insights and the United Arab Emirates-based World Government Summit (WGS), a non-government organization promoting future-oriented public-private dialogue, worked together to select the most interesting govtech implementations from among the world's more innovative initiatives.

In March 2016 Insilico Medicine initiated a research collaboration with Life Extension to apply advanced bioinformatic methods and deep learning algorithms to screen for naturally occurring compounds that may slow down or even reverse the cellular and molecular mechanisms of aging. Today Life Extension (LE) launched a new line of nutraceuticals called GEROPROTECTTM, and the first product in the series called Ageless CellTM combines some of the natural compounds that were shortlisted by Insilico Medicine's algorithms and are generally recognized as safe (GRAS). "Life Extension's mission is to extend the healthy human lifespan; and as such, we are focused on identifying natural products with critical health and wellness properties," said Andrew G. Swick, PhD, senior vice president of scientific affairs, discovery research and product development for Life Extension. "Our collaboration with Insilico Medicine fostered a novel approach to formulating anti-aging supplements utilizing artificial intelligence and sophisticated biologically-inspired algorithms and resulted in the very first AI formulated supplement," Swick said. The global nutraceuticals market was valued at US$165.62 billion in 2014 by Transparency Market Research and is expected to reach US$278.96 billion by 2021.

The most valuable part of machine learning is predictive modeling. This is the development of models that are trained on historical data and make predictions on new data. This cheat sheet contains my best advice distilled from years of my own application and studying top machine learning practitioners and competition winners. With this guide, you will not only get unstuck and lift performance, you might even achieve world-class results on your prediction problems. Note, the structure of this guide is based on an early guide that you might fine useful on improving performance for deep learning titled: How To Improve Deep Learning Performance.

You cannot get better at it by reading books and blog posts. In this post, you will discover the simple 6-step machine learning project template that you can use to jump-start your project in R. Machine Learning Project Template in R Photo by Jaguar MENA, some rights reserved. Working through machine learning problems from end-to-end is critically important. You can read about machine learning. You can also try out small one-off recipes. But applied machine learning will not come alive for you until you work through a dataset from beginning to end.