Chinese AI start-up DeepSeek has announced the open-sourcing of its internal inference framework, DeepInfer, to help software developers and enterprises optimize throughput and latency for large-scale inference, lowering compute costs and energy consumption, the company said in an article released via its WeChat account on Tuesday.
Despite recent volatility in the Kospi, major brokerages remain bullish on Korean chip stocks Samsung and SK hynix, citing an ongoing AI-driven memory boom that is expected to ensure strong demand and pricing power through 2028.
XRlabs has raised $8.4 million in seed funding led by Playground Global to develop and deploy an AI platform that analyzes surgical data in real time while working with equipment already used in operating rooms.
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…
The rapid growth of resident space objects is increasing the complexity of space situational awareness sensor tasking, challenging classical optimization methods as they allocate finite, heterogeneous, and distributed sensing resources across ever-larger catalogues. Existing…
Multimodal Large Language Models (MLLMs) commonly reuse visual encoders pretrained with CLIP, although the features of these ViTs are ultimately consumed by autoregressive LLMs. We refer to this mismatch as the semantic-interface gap and introduce MedMLIP, a framework that…
Disaster-risk-reduction archives describe hazard events in prose that databases such as EM-DAT (Delforge et al., 2025) cannot ingest directly. We present an LLM pipeline that generates candidate georeferenced event records using a controlled hazard vocabulary and fixed schema,…
Due to limited support for intra-tensor heterogeneous precision in conventional accelerators, neural network quantization remains largely restricted to per-tensor precision assignment. We present ShatterQuant, a hardware-software co-designed framework enabling mixed-precision…