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Red Hat AI 3.5 tackles the GPU queue that can stall AI pilots27m ago CNN Just Ran One of the Worst AI Puff Pieces We’ve Ever Seen in Our Lives About That “AI Actor” Tilly Northwood40m ago How Credit Genie keeps codebase docs fresh with OpenWiki42m ago Closing The Gap Between AI Ambition And Data Reality43m ago Universal Music is launching an AI music platform with ElevenLabs49m ago Top Pentagon Official Rejects Anthropic Researcher’s AI Warning2h ago Arlequin AI raises €28M to build novel AI models that learn complex relationships at scale53m ago SpaceX sues to block release of tax-break records for its Texas Terafab project53m ago Salesforce closes Fin and eyes $2bn Listen Labs, Business Insider reports54m ago Google brings Gemini for desktop app to Windows55m ago AI’s Hidden Apprenticeship Tax (And How Firms Can Avoid It)58m ago Abacus.AI Releases Three Open-Weight Smaug Models for Agentic Workloads1h ago Clay raises $115m at a $7.1bn valuation, more than double its 2025 price1h ago Before AI Agents Take Action, Enterprises Need A New Data Rule Book1h ago

Machine Learning Healthcare2 min reading time

MVICAD2: Multi-View Independent Component Analysis with Delays and Dilations

Apple Research BlogPublished 24 days ago

Researchers developed MVICAD2, an advanced Multi-View Independent Component Analysis method that accounts for both temporal delays and dilations in brain signals across subjects, improving analysis of magnetoencephalography data. This model better captures individual variability and aging effects in brain dynamics compared to previous methods.

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