± SPORTS Machine learning (ML) applications continue to grow in popularity across the sport industry, offering new opp…+ LABOR As governments worldwide seek to modernise public administration through digital technologies, understanding…± HEALTH Background: Artificial intelligence (AI) is widely used in mental health care for screening, monitoring, and…± HEALTH (1) Background/Objectives: Over one billion individuals globally live with mental health conditions, yet the…± HEALTH Artificial Intelligence (AI) deployment in healthcare is accelerating, yet governance frameworks remain fragm…− HEALTH ChatGPT Health was launched in January 2026 as OpenAI's consumer health tool and has reached millions of user…+ EDUCATION This study investigates the effectiveness of AI-enhanced pedagogical practices on improving the mathematical…+ POLICY This study examined how users’ perceptions of algorithmic influence and AI manipulation are associated with k…
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Science · Climate

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6 stories · page 1 of 1

Evidence-backed gain

Digital Technologies and Sustainable Development: Evidence from FinTech, AI, and Blockchain Adoption in G20 Economies

In the wake of rapid digital transformation, emerging technologies like FinTech, AI, and Blockchain are reimagining how countries pursue sustainable development. This study examines how FinTech adoption, Artificial Intelligence (AI) readiness, and Blockchain activity influence sustainable development performance across G20 economies over the period 2015–2023. Drawing on Innovation-Driven Growth Theory, the Technology–Organization–Environment framework, and Institutional Theory, the analysis evaluates both the di…

Sustainability · Climate

Digital Technologies and Sustainable Development: Evidence from FinTech, AI, and Blockchain Adoption in G20 Economies
Optimizing solar and wind forecasting with iHow optimization algorithm and multi-scale attention networks
Evidence-backed gain

Optimizing solar and wind forecasting with iHow optimization algorithm and multi-scale attention networks

Deep learning models often encounter two key challenges in developing intelligent and scalable forecasting frameworks for renewable energy systems: input feature space dimensionality and sensitivity to hyperparameter settings. These limitations increase computational cost and compromise generalization and robustness. This paper presents a hybrid deep learning-optimization framework that leverages cognitively inspired metaheuristics to address these challenges, employing the Binary iHow Optimization Algorithm (bi…

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

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…

Climate
‘There were stoats in kitchen cupboards’: AI deployed to help save Orkney’s birds
Evidence-backed gain

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

At first, the stoat looks like a faint smudge in the distance. But, as it jumps closer, its sleek body is identified by a heat-detecting camera and, with it, an alert goes out to Orkney’s stoat hunters. Aided by an artificial intelligence programme trained to detect a stoat’s sinuous shape and movement, trapping teams are dispatched with the explicit aim of finding and killing it. It is the most sophisticated technology deployed in one of the world’s largest mammal eradication projects, which has the aim of dete…

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

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

Climate