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…
One of the most effective ways to protect the environment is to make markets work for environmental goals rather than against them, using tools such as tradable permits and payments for ecosystem services. But doing that requires measurements and data: How much of a resource…
Tracking neurite morphology over time helps characterize structural changes during neuronal development and deterioration, but long-term time-lapse imaging is resource-intensive and difficult to scale. Forecasting future morphology could reduce this burden. Existing neurite…
Building general-purpose agents for industrial deployment requires integrating multiple capabilities, each typically acquired at a distinct stage of training. Yet there is currently no well-established recipe for Agent Continual Learning (ACL), with little understanding of the…
Renewable forecasts are evaluated by statistical skill (e.g., CRPS), but grid operators pay for realized dispatch cost. We diagnose what drives dispatch value in a single-period newsvendor-style economic dispatch using real public data from two European transmission systems…
Agentic memory is becoming essential for long-horizon AI agents, yet many existing systems rely on autoregressive LLMs to control how memories are organized, retrieved, and used, placing expensive generation on the critical path of memory operations. We introduce…