TRM Labs says AI agent KYC hinges on verifying the human principal. Accountability for faulty agent payments may fall on developers and protocol teams. North Korea drove 85% of 2026 crypto hack value, TRM data shows. #Security (Crypto Scams and Hacks ...
Grok drives nearly 60% of Coinbase's AI agent trading as x402 payment volume surges 10,780% in October, while spending-limit guardrails remain incomplete.
Sentra, a provider of agentic data security, has raised $150m in a strategic round led by Capital One Ventures. The deal comes as businesses rush to deploy AI agents that can reach sensitive information faster than security teams can govern it. Capital One Ventures joins Sentra’s existing backers, including Bessemer Venture Partners, Zeev Ventures, Standard […]
Asian stocks ended mixed on Thursday as regional chipmaking shares slumped on expectations of tighter tech oversight. Technology stocks slumped in South Korea and Japan on concerns that a Democratic-led US Congress could push for tighter regulation of AI development and data centre construction,
Nov 5 (Reuters) - Qualcomm shares dropped about 9% in premarket trading on Thursday after smartphone chip sales missed Wall Street estimates, raising concerns that weakness in its core handset business could offset gains from newer growth areas such as data-center chips.
Kimi K3.1 Pro is an open-weight, natively multimodal agentic model, and our most capable 3T-class model to date. Post-trained from Kimi K3 with large-scale joint reinforcement learning across hundreds of downstream domains, it is the first model in the K3.1 series. With a…
Two side projects explored a new way to get work done with files already in Dropbox. Here’s how engineers brought them together and turned those experiments into a new customer experience.
The importance of deep neural networks (DNNs) is widely recognized, and the parameters obtained through training are regarded as valuable assets. Recently, attacks that extract these parameters using only oracle queries to a DNN have been actively studied at IACR conferences.…
Long-term memory is essential for large language model (LLM) agents to maintain consistency and personalization over extended interactions. Existing memory systems typically rely on fixed granularities or static schemas, but these designs struggle when heterogeneous…
Transformer-based models have recently achieved strong performance on 3D reconstruction from images, and recent works extend them to process video streams in an online manner for real-world deployment. However, existing methods overlook two key signals when handling long image…
Joint remaining useful life (RUL) prediction and capacity estimation require representations of both gradual degradation and recent battery behavior. This paper presents a cross-expert framework using partial-charging measurements without requiring measured historical…