Updates
Global tech leaders gather as Web Summit Qatar opens
Discussions at the summit focus on tech innovation, partnerships, and market entry, with long-term collaboration a key priority.
Europe warns over reliance on foreign digital technologies
Officials say safeguarding digital infrastructure is vital for Europe’s digital competitiveness, security, and economic future.
Australia steps up platform scrutiny after mass Snapchat removals
The ban on under-16s in Australia has led to mass Snapchat account removals, while platforms caution that current age-assurance tools remain unreliable and open to circumvention.
France challenges EU privacy overhaul
The debate over privacy reform has intensified in the EU after France opposed Commission plans to reshape personal data concepts within the GDPR.
EU plans a secure military data space by 2030
The European Defence Agency plans a secure data network to accelerate decision-making and protect sensitive defence information across the EU.
Submarine cables keep the global internet running
Hidden beneath the oceans lies a fragile but essential network whose security and resilience are increasingly seen as vital to the stability of the global digital economy.
UNESCO and HBKU advance research on digital behaviour
A new UNESCO Chair in Qatar explores how emerging technologies influence daily life, focusing on digital well-being, ethical innovation and global dialogue on responsible design.
Toronto explores intelligent traffic systems to improve jams and transit
City planners and experts suggest that AI-enhanced traffic signal systems could help reduce gridlock across Toronto streets and improve travel times for vehicles and the new Finch West LRT.
Options markets signal caution as Bitcoin steadies
Some analysts see early stabilisation after heavy selling, but recovery depends on Bitcoin holding key support levels.
Generative AI accelerates discovery in complex materials science
Researchers are using generative artificial intelligence to aid the design and discovery of complex materials by predicting structures and properties that would be costly or slow to identify through traditional computational methods.
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