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Evidence-backed problem

A meta-analysis of the effects of AI agent implementation on customer-level outcomes

Firms increasingly use AI agents, such as recommendation algorithms and chatbots, to enhance customer value, yet research documents mixed effects on customer outcomes. To address and clarify these heterogeneous findings, we conduct a meta -analysis of 468 effect sizes reported in 95 articles with 82,751 participants examining AI agent implementation across both substitution contexts (AI replacing humans) and adoption contexts (AI introduced into previously non-AI processes). Results indicate that customers, on a…

Journal of Business Research · Science

A meta-analysis of the effects of AI agent implementation on customer-level outcomes

Evidence-backed gain

An integrated method of advanced optimisation and adaptive ensemble learning for ship fuel consumption prediction

• Proposes an adaptive cluster-based multi-ensemble (ACME) model for robust ship fuel consumption prediction. • Develops a SHAP-weighted multi-model feature selection (SWFS) algorithm for dimensionality reduction. • Introduces a hierarchical adaptive parameter space exploration (HAPSE) method for efficient tuning. • Establishes a dual-layer SHAP framework for global and local model interpretability. • Integrates multi-source data fusion to enhance prediction accuracy and operational relevance. Accurate predictio…

Science

Both readings

AI and human designers: How consumers see the genuine care in product design as more sustainable

Abstract Across a series of studies, we find that despite AI’s potential for greater efficiency in sustainable product designs, AI-designed products are perceived by consumers as less sustainable than those designed by humans. We demonstrate that this effect is driven by a perceived lack of genuine care, defined as the emotional component believed to go into a product’s design. Since sustainability is symbolically linked to values such as love and care, the absence of human involvement undermines perceptions of…

Science

Evidence-backed gain

AI-powered voice assistants for older adults: a literature review of insights, research practices, and future directions

As the global population of older adults grows, AI-powered Voice Assistants (VAs) are explored as tools to mitigate loneliness, social isolation, and cognitive decline. By enabling intuitive, hands-free interaction, VAs provide a means to enhance independence, emotional well-being, and daily functioning for older adults. This paper presents a systematic review on older adults’ interactions with VAs, analysing 48 studies, which is more than double the scope of prior reviews. Studies were selected from an initial…

Science

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

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

Evidence-backed problem

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

The race to get artificial intelligence to market has raised the risk of a Hindenburg-style disaster that shatters global confidence in the technology, a leading researcher has warned. Michael Wooldridge, a professor of AI at Oxford University, said the danger arose from the immense commercial pressures that technology firms were under to release new AI tools, with companies desperate to win customers before the products’ capabilities and potential flaws are fully understood. The surge in AI chatbots with guardr…

Science

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

Conventional machine learning approaches accelerate in-silico inorganic materials design via accurate property prediction and targeted material generation, yet they operate as single-shot models limited by the latent knowledge baked into their training data. A central challenge lies in creating an intelligent system capable of autonomously executing the full in-silico inorganic materials discovery cycle, from ideation and planning to experimentation and iterative refinement. We introduce SparksMatter, a multi-ag…

Science

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

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

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

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…

Science

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

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

Multifunctional Flexible Humidity Sensor Systems Towards Noncontact Wearable Electronics

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…

Science

The Ethics of AI Ethics: An Evaluation of Guidelines