Environment

Large Language Model (LLM) agents have moved beyond generating responses to executing multi-step tasks by calling tools, observing the results, and iteratively deciding the next action. Most agent systems run on desktops or servers, which support tool use and task automation. Mobile devices are also important agent environments because they are widely accessible and contain users' data, sensors, and daily-use applications. Existing mobile agents mainly operate smartphones through graphical user

Simulation-based algorithms are especially suited for high-uncertainty environments such as adversarial board games with significant elements of randomness and hidden information. In particular, several Monte Carlo Tree Search (MCTS) variants are commonly used in such domains. In this paper, we propose a series of enhancements for Ensemble Determinization MCTS, introducing two axes for dynamic resource allocation. First, Dynamic Number of Determinizations, increases or decreases the number of cu

New York became the first U.S. state to ban the construction of new large-scale AI data centers after Governor Kathy Hochul signed an executive order Tuesday.

People who have interacted with simulated worlds and simulated objects in extended reality (XR) often have a sense that they can 'feel' the objects being simulated despite them not being physical. Our sense of touch is essential for how we 'feel' the physical world, however, there is an open question as to what it means to 'feel' virtual objects when interacting with them in immersive digital environments. In prior research, we have reported that participants often describe a subjective experien

regenerative agriculture impact of AI on employment impact of climate change on housing finance White Paper on water reform and protections for chalk streams. Legislation Members 'tidied up' the Steel ...

Batteries based on sodium ions are entering mass production. Some researchers say they could ultimately be a cheaper, safer alternative to lithium in electric cars and other energy applications.

Analysis and insights for driving a rapid transition to net-zero while building resilience to physical climate impacts ...

In “Moana,” the Polynesian heroine sings about the gravitational pull she feels to return to the water. Disney, the studio behind the live-action remake of the 2016 animated musical, might have been wise to ignore the impulse to go back to the sea … at least so soon. Arriving a decade after the original and […]

Publication date: September 2026 Source: Technology in Society, Volume 88 Author(s): Seyit Ali Micoogullari, Ibrahim Cutcu, Erdal Alancioglu, Sifa Ozkan

Publication date: October 2026 Source: Futures, Volume 183 Author(s): Junpeng Chen, Liuna Geng

Publication date: September 2026 Source: Technology in Society, Volume 88 Author(s): Zhuzhou Liu, Zhe Weng, Shichao Yu

Publication date: September 2026 Source: Futures, Volume 182 Author(s): Johannes Stripple, Marie-Lisa Feller

Publication date: September 2026 Source: Technology in Society, Volume 88 Author(s): Wenxin Mao, Leyi Huang, Huifang Sun, Wenping Wang, Dang Luo

Publication date: September 2026 Source: Telecommunications Policy, Volume 50, Issue 8 Author(s): Ioanna Giannikou, Nikos Ioannou, Markos Tselekounis

Publication date: August 2026 Source: Technology in Society, Volume 87 Author(s): Zhengzheng Li, Yixuan Liu, Xin Li, Kai-Hua Wang

Publication date: October–November 2026 Source: International Journal of Human-Computer Studies, Volume 215 Author(s): Nynke van der Laan, Sanne Boesveldt, Matti Vuorre, Tessa M. van Leeuwen, Kim Verboon, Travis Masterson, Alexander Klippel, Rachelle de Vries

Publication date: August 2026 Source: Technology in Society, Volume 87 Author(s): Danli Du, Jiahe Wang, Wenxue Jin

Publication date: August 2026 Source: Telecommunications Policy, Volume 50, Issue 7 Author(s): Wanli Zhang, Daniel Tawiah, Michael Provide Fumey, Simplice A. Asongu, Abdul-Ganiu Adam

Publication date: August 2026 Source: Technology in Society, Volume 87 Author(s): Fangzhou Song, Yang Huang, Siqi Luo, Zixun Zhou

Publication date: August 2026 Source: Technology in Society, Volume 87 Author(s): Liang Ma, Yufei Yao

Publication date: August 2026 Source: Technology in Society, Volume 87 Author(s): Isabelle Stadelmann-Steffen, Rebeka Sträter, Guillaume Zumofen

Publication date: August 2026 Source: Technology in Society, Volume 87 Author(s): Marco Lünich, Jule Roth, Christopher Starke

Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Anselm Böhmer, Marcella Dillig, Daniel-Cosmin Andronache, Olga Beshlei, Stephen Bolaji, Illie Isso, Yurii Kovaliuk, Jon Mason, Adriana Laza Medina, Mirona-Horiana Stănescu, Olena Yaroshenko

Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Fang Dong, Weijia Liu, Zhiqing Wang

Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Yu Li, Changqi Tao, Jiawei Qian, Tao Xie

Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Xiaofeng Xu, Yijing Wang, Yirui Deng, Mingyue Jiang, Victor Shi

Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Jiaqi Yang, Alireza Amrollahi, Robbie Moulding, Josh Morton, John Palfreyman

Publication date: September 2026 Source: Technological Forecasting and Social Change, Volume 230 Author(s): Zhiyi Li, Zijun Li, Lei Jin, Yanze Wang

Publication date: September 2026 Source: Technological Forecasting and Social Change, Volume 230 Author(s): Yue Li, Guofu Li, Sarah Yvonne Cooper, Hongqi Wang, Anfeng Xu

Publication date: September 2026 Source: Technological Forecasting and Social Change, Volume 230 Author(s): Yue Li, Guofu Li, Sarah Yvonne Cooper, Hongqi Wang, Anfeng Xu

Publication date: September 2026 Source: Technological Forecasting and Social Change, Volume 230 Author(s): Kaile Zhou, Ziwei Yang, Yaxuan Gao

Publication date: October 2026 Source: Research Policy, Volume 55, Issue 8 Author(s): David Bendig, Thomas Schäper, Katharina Hennes, Colin Schulz

Publication date: October 2026 Source: Research Policy, Volume 55, Issue 8 Author(s): Dongyang Zhang, Dingchuan Bai, Yurun He, Rui Guo

In this paper, we study Reinforcement Learning in Parametrized Action Markov Decision Processes (PAMDP), where each decision consists of a symbolic action and numerical parameters. In such settings Reinforcement Learning algorithms typically determine parameters with one-shot estimators, which makes their training sample inefficient. Though in most PAMDP environments explicit but incomplete knowledge (e.g., rules, safety constraints, or expert heuristics) is available, it is rarely directly used

Gov. Kathy Hochul signed an executive order pausing the construction of the largest data centers for one year while the state assesses their effects on the environment and energy use.

New York has become the first state to temporarily halt approval of large data centers, as Gov. Kathy Hochul argues the AI-driven building boom shouldn’t come at the expense of higher electricity costs, water supplies, or local control.

New York’s data center moratorium may become the blueprint for anti-AI movement.

Unconventional computing systems must demonstrate robust performance under real-world environmental conditions to enable practical deployments. We have recently proposed superparamagnetic nanodot ensembles driven by strain-induced magnetoelectric coupling as exciting candidates for use as ultra-low energy consumption reservoir computing substrates. However, because their dynamics are governed by thermal activation effects, these systems are intrinsically sensitive to ambient temperature fluctuat

Interaction with AI agents has become one of the most frequent activities of everyday digital life. Whether conversing with an assistant, working with a coding copilot, or generating images, the interaction follows a common iterative loop: a request is issued, a result returned, appraised, and the request revised. We observe that this loop is a high-frequency stream of contact events -- moments at which a result meets a person and a conditioned response may fire before deliberate appraisal -- ma

Burial grounds are filling up but are new methods any more green than traditional options?