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Kendall says social media giants ‘had their chance’ as new restrictions ‘imminent’
Kendall says social media giants ‘had their chance’ as new restrictions ‘imminent’ New FOI data showed more than 100,000 criminal offences had been linked to Snapchat since 2021 - Bookmark - CommentsGo to comments Technology Secretary Liz Kendall said technology firms “had their chance” to self-regulate as ministers consider restrictions on children’s social media use. New Freedom of Information (FOI) data, obtained by ITV, showed more than 100,000 criminal offences had been linked to...
New light-powered chip could accelerate AI and quantum computing
New light-powered chip could accelerate AI and quantum computing - Date: - June 2, 2026 - Source: - Monash University - Summary: - Scientists have created a tiny chip that can generate, steer, and read light-based information all in one device, marking a major leap toward ultra-fast, energy-efficient computing. The breakthrough uses atomically thin materials and nanoscale structures to control a unique quantum property of light called the “valley” degree of freedom, allowing information to...
Mapping the AI narrative in Kenya and South Africa's media
Mapping the AI narrative in Kenya and South Africa's media A new study by the Centre for Information Integrity in Africa (CINIA) at Stellenbosch University, supported by DW Akademie, takes a critical look at how artificial intelligence (AI) is covered in Kenyan and South African media. The research, titled "AI in the Media: Kenya and South Africa", analyses 57 articles and draws on two rounds of journalist interviews over a five-year period (2021-2026). The research finds that AI remains...
General framework for incoherent topological structured light and optical information encoding
arXiv:2606.07991v1 Announce Type: new Abstract: Topology provides a powerful language for describing global invariants in physical systems, yet optical topology has been explored predominantly with fully coherent light. Recent studies have shown that incoherent light can host topological structures mediated by coherence singularities; however, a general framework for their construction and control has been lacking.
From introvert to hero: The 'Hacker' revealed
From introvert to hero: The 'Hacker' revealed Sadie Harley Scientific Editor Andrew Zinin Lead Editor JCU Associate Professor of Information Technology Roberto Dillon has published his new historical analysis in the journal New Media & Society, explaining how gaming, movies and television representations of the Hacker have evolved over the past 30 years, creating a complex but ultimately heroic cultural icon. "It's a dangerous technological world that we are living in," said Prof Dillon. "We...
At least 1.5 million people taken to court over unpaid council tax
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Legal reforms to stop abusive SLAPPs fail to stop chilling effect of the powerful, study warns
Legal reforms to stop abusive SLAPPs fail to stop chilling effect of the powerful, study warns Lisa Lock Scientific Editor Andrew Zinin Lead Editor Legal reforms designed to curb the abusive use of "SLAPPs" are insufficient to stop the rich and powerful trying to block freedom of speech, a new study warns. Measures in the U.S., U.K. and the EU to stop strategic lawsuits against public participation do not address the deep-seated inadequacies in the law which have a chilling effect on...
Effective Dimensionality as an Operator Invariant for Physics-Preserving Constraint Adaptation in Physics-Informed Neural Networks
Announce Type: cross Abstract: Physics-Informed Neural Networks inherently suffer from task interference because they rely on a shared parameter space to satisfy both governing differential equations and boundary conditions. We analyze this structural conflict using the Fisher Information Matrix to quantify the effective degrees of freedom ($d_{eff}$) in a physics-constrained model. Unlike the classical $d_{eff}$ which measures how many parameter directions are informed by data against a...
Effective Dimensionality as an Operator Invariant for Physics-Preserving Constraint Adaptation in Physics-Informed Neural Networks
Announce Type: cross Abstract: Physics-Informed Neural Networks inherently suffer from task interference because they rely on a shared parameter space to satisfy both governing differential equations and boundary conditions. We analyze this structural conflict using the Fisher Information Matrix to quantify the effective degrees of freedom ($d_{eff}$) in a physics-constrained model. Unlike the classical $d_{eff}$ which measures how many parameter directions are informed by data against a...
Minimal Solvers for Full-DoF Motion Estimation from Asynchronous Differential SfM
Announce Type: new Abstract: As a bio-inspired intelligent sensor, event cameras have introduced a new paradigm in the intelligent perception of spatiotemporal information and visual motion estimation, characterized by their high temporal resolution, low latency, and minimal power consumption. However, their asynchronous data streams present significant challenges to traditional synchronous, frame-based algorithms. To address these challenges, this paper presents a novel framework for full...