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Knowledge-Based Feature Selection Substantially Enhances Data-Driven Wastewater Treatment Modeling

Data-driven modeling in wastewater treatment is increasingly constrained by the reality of small, high-dimensional data, where the abundant monitoring parameters in small-sized data sets obscure fundamental mechanistic understandings. This study proposes a knowledge-driven feature selection framework that integrates mechanistic insights with statistical correlations to identify the most informative predictive features. Using nitrous oxide (N 2 O) emission prediction at a full-scale plant as a case study, we comp…

Environmental Science & Technology

Evidence-backed gain

‘There were stoats in kitchen cupboards’: AI deployed to help save Orkney’s birds

Evidence-backed problem

Race for AI is making Hindenburg-style disaster ‘a real risk’, says leading expert

Evidence-backed gain

Autonomous in-silico inorganic materials discovery via multi-agent physics-aware scientific reasoning

Evidence-backed problem

AI is guzzling energy for slop content – could it be reimagined to help the climate?

Artificial intelligence is often associated with ludicrous amounts of electricity, and therefore planet-heating emissions, expended to create nonsensical or misleading slop that is of meagre value to humanity. Some AI advocates at a major UN climate summit are posing an alternative view, though – what if AI could help us solve, rather than worsen, the climate crisis? The “AI for good” argument has been made repeatedly at the Cop30 talks in Belém, Brazil, with supporters arguing AI can be used to lower, rather th…

Evidence-backed problem

US leads record global surge in gas-fired power driven by AI demands, with big costs for the climate

The US is leading a huge global surge in new gas-fired power generation that will cause a major leap in planet-heating emissions, with this record boom driven by the expansion of energy-hungry datacenters to service artificial intelligence, according to a new forecast. This year is set to shatter the annual record for new gas power additions around the world, with projects in development expected to grow existing global gas capacity by nearly 50%, a report by Global Energy Monitor (GEM) found. The US is at the f…

Evidence-backed gain

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

The era of artificial neural network (ANN) began with a simplified application in many fields and remarkable success in pattern recognition (PR) even in manufacturing industries. Although significant progress achieved and surveyed in addressing ANN application to PR challenges, nevertheless, some problems are yet to be resolved like whimsical orientation (the unknown path that cannot be accurately calculated due to its directional position). Other problem includes; object classification, location, scaling, neuro…

Evidence-backed gain

Multifunctional Flexible Humidity Sensor Systems Towards Noncontact Wearable Electronics

In the past decade, the global industry and research attentions on intelligent skin-like electronics have boosted their applications in diverse fields including human healthcare, Internet of Things, human-machine interfaces, artificial intelligence and soft robotics. Among them, flexible humidity sensors play a vital role in noncontact measurements relying on the unique property of rapid response to humidity change. This work presents an overview of recent advances in flexible humidity sensors using various acti…

Science

The Ethics of AI Ethics: An Evaluation of Guidelines

Abstract Current advances in research, development and application of artificial intelligence (AI) systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a res…