Generative AI Advancements and Ethical Considerations in Weekly Newsletter
This weekly newsletter provides updates on the latest advancements in generative AI, including the release of Grok-1 for X Premium members, OpenAI's new Voice Engine, and Microsoft's introduction of an AI-powered laptop. It also highlights thought-provoking articles on the ethical dilemmas surrounding AI and the importance of ethics and education in addressing them.
Beyond-Voice: Continuous 3D Hand Pose Tracking on Home Assistant Devices
High-fidelity acoustic sensing system enables continuous 3D hand pose tracking on home assistant devices.
Edge Information Hub: Orchestrating Satellites, UAVs, MEC, Sensing, and Communications for 6G Closed-Loop Controls
Optimizing closed-loop control performance in an Edge Information Hub (EIH) through joint communication and computing resource allocation.
ETSI ITS Contention-Based Forwarding Evaluation and Improvement in Highway Scenarios
ETSI CBF algorithm evaluation and proposed solutions for highway warning message distribution.
GEAR: Efficient KV Cache Compression for Near-Lossless Generative Inference of LLM
GEAR proposes an efficient KV cache compression framework for near-lossless high-ratio compression, improving system throughput and reducing memory size.
HGIC: Hand Gesture Based Interactive Control System for Multi-UAV Operations
HGIC is a novel interface system that translates hand gestures into commands for efficient and scalable multi-UAV operations, reducing cognitive load and enhancing operator control.
vSPACE: Secure, Private, and Scalable Digital Voting System
Secure, private, and scalable digital voting system using vSPACE technology.
Vertical NAND Storage Pass Disturb Free with Dual-Port FeFET
Proposing a dual-port FeFET design to eliminate pass disturb in vertical NAND storage.
Vertical NAND Storage Pass Disturb Free Solution with Dual-Port FeFET
Proposing a dual-port FeFET design to eliminate pass disturb in vertical NAND storage.
ChipNeMo: Domain-Adapted Large Language Models for Chip Design
Large language models can be effectively adapted for specialized chip design tasks through domain-specific pretraining and alignment techniques.
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