Anthropic has introduced Claude Duet, a personal AI agent designed to help professionals and small business owners manage tasks, monitor connected applications,
AI coding tools initially increase development speed but also lead to a rise in technical debt and code complexity. Sonar proposes integrating verification into the development workflow to manage these challenges. This approach aims to maintain code quality while leveraging AI's velocity.
Cognizant and Google Cloud are assigning more than 18,000 employees to develop AI agents for clients, targeting software modernisation, developer tools, business-process automation and cybersecurity.
Dell AI Factory with NVIDIA expanded at GTC Berlin on October 21, 2026, establishing three compute tiers for enterprise agentic AI: the air-cooled Vera CPU PowerEdge R8822 shipping this month, a 256-CPU disaggregation rack (M9882),
Bengaluru-based voice AI startup Karta AI has raised $3 million in a seed funding round led by PeerCapital and Cedar Hill Capital, with participation from
As AI workloads demand greater memory capacity, chipmakers are exploring alternatives to traditional memory architectures. According to ZDNet, industr...
Mark Zuckerberg wants Meta to monetise its Muse AI agent sooner through transaction fees and subscriptions. His earnings-call answers reveal the costs behind that urgency—and what the model could mean for businesses, including India’s WhatsApp merchants
Global Fishing Watch on October 21 launched its biggest AI overhaul since 2016: new fishing detection and vessel classification models trained on over 1,000 expert-reviewed examples cut false positives. A 2024 Nature study confirms 75% of industrial fishing vessels remain beyond reach of any
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
Masia has closed its €18M debut fund to invest in early-stage AI and frontier tech companies with a Barcelona connection, and opened Masia House to bring its founders, international investors and LPs ...
The growing deployment of Internet of Things (IoT) devices has increased the need for privacy-preserving intrusion detection systems that operate directly on resource-constrained hardware. Federated Learning enables collaborative model training without sharing raw data, but…
Sequential RecSys are central to modern personalization, exploiting user's historical interaction sequences to drive next-step decisions. Deep learning models, particularly CNN and Transformer-based architectures, have proven highly effective at capturing temporal dependencies…
Sparse communication in decentralized zeroth-order learning requires compatible peer-state coordinates. We characterize this one-hop condition and develop \textsf{ZO-COSMO}, coupling two-query estimation with average-preserving masked consensus using $q$ values per active link.…
Minimum Risk Training (MRT) enables neural machine translation models to directly optimize sequence-level evaluation metrics instead of relying only on token- level maximum-likelihood objectives Shen et al. [2016]. Although introduced a decade ago, recent work shows renewed…