AI feed
Aggregated from 15 sources, polled every 3 hours and deduplicated so the same story never appears twice. Links go straight to the publisher.
inference
51 articles mention this topic.
-
17 Sep 2026
Intel Software Optimizations Boost AI Inference in MLPerf v6.1
... Language Model (SLM), while Arc Pro B70 GPUs perform Large Language Model (LLM) generation. The result demonstrates how optimized CPU and GPU ...
www.intel.com ↗ -
16 Sep 2026
MLPerf® Inference v6.1 Results: CoreWeave Leads Providers
... model development to production sooner. CoreWeave's performance across multimodal, frontier-scale reasoning, MoE, and large language models gives ...
www.coreweave.com ↗ -
16 Sep 2026
MLPerf® Inference v6.1 Results: CoreWeave Leads Providers
CoreWeave Leads Cloud Providers in MLPerf® Inference v6.1 Performance with NVIDIA Blackwell Ultra · Qwen3-VL-235B-A22B, multimodal AI powering ...
www.coreweave.com ↗ -
16 Sep 2026
Micron Launches 512GB DDR5 Server Memory, Set to Reduce Operating Power ... - TradingKey
Large language models (LLMs), agentic AI, real-time inference, and high-core-count CPU workloads are the primary drivers of this wave of server memory ...
www.tradingkey.com ↗ -
15 Sep 2026
Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train
Instead of relying on expensive inference-time reasoning, the Retrieve-for-Train framework uses reinforcement learning once to train a lightweight ...
research.google ↗ -
15 Sep 2026
Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train
Instead of relying on expensive inference-time reasoning, the Retrieve-for-Train framework uses reinforcement learning once to train a lightweight ...
research.google ↗ -
15 Sep 2026
Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train
Instead of forcing the model to expend a large thinking budget at ... Fan-out language model training: RL trains a fan-out language model to ...
research.google ↗ -
15 Sep 2026
Survey Statistics: ANOVA | Statistical Modeling, Causal Inference, and Social Science
That seems like a differential notion of "regret" than the standard one used in reinforcement learning. The paper's paywalled, so… Bob Carpenter ...
statmodeling.stat.columbia.edu ↗ -
15 Sep 2026
Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train
Generative AI ·; Machine Intelligence · A conceptual diagram illustrating a cyclical AI-driven biomarker discovery process analyzing wearable and ...
research.google ↗ -
15 Sep 2026
Inside the Inference Hardware Revolution Of 2026 - IEEE Spectrum
Large language models (LLMs) ballooned from millions of parameters to trillions. This proved effective: The largest version of OpenAI's GPT-3 ...
spectrum.ieee.org ↗ -
15 Sep 2026
Astera Labs Expands Leo Smart Memory Controllers To Accelerate Agentic AI Inference ... - Pulse 2.0
Leo X-Series Targets Agentic AI And KV Cache. The new Leo X-Series is designed specifically for fabric-attached memory serving AI accelerators. Paired ...
pulse2.com ↗ -
15 Sep 2026
Open weights are not open source: Why AI's favorite label is under dispute - The Register
Together with the model architecture and inference code, they allow a large language model (LLM) to function. You can download an open-weight model ...
www.theregister.com ↗ -
14 Sep 2026
A blueprint for keeping humans in control of AI - Tech Xplore
... reinforcement learning and causal inference. He partnered with Mohsen Bayati, his adviser and a professor of operations, information and ...
techxplore.com ↗ -
14 Sep 2026
DeepSeek-V4.1-Flash Packs 552B Parameters With Efficient MoE Inference | HackerNoon
DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model from deepseek-ai that accepts text and images and generates text.
hackernoon.com ↗ -
14 Sep 2026
AI development for geophysical science - Open Access Government
This has stimulated the development of sophisticated optimization algorithms, statistical methods, Bayesian inference, and machine-learning approaches ...
www.openaccessgovernment.org ↗ -
14 Sep 2026
Z.AI raises $5 billion via share sale, bond issuance as Chinese AI developers ramp up R&D efforts
Training clusters, inference infrastructure, data and talent constitute the principal cost items for large model companies. ... large language model ...
www.globaltimes.cn ↗ -
13 Sep 2026
Long Live the Short King: Why 4-hi HBM Wins
... workload. We can divide AI compute into 3 major buckets: pre-training compute, post-training/reinforcement learning compute, inference compute.
newsletter.semianalysis.com ↗ -
13 Sep 2026
Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU ... - MarkTechPost
How to accelerate machine learning workflows using NVIDIA cuML, RAPIDS, GPU benchmarking, clustering, explainability, and model inference.
www.marktechpost.com ↗ -
13 Sep 2026
New AI framework teaches video models to reason about cause and effect, not
TRACE, short for Temporal Causal Representation Learning for Video Understanding, tackles this gap by borrowing an idea from causal inference: the ...
bioengineer.org ↗ -
11 Sep 2026
FuriosaAI Accelerates Asia-Pacific AI Inference Market Push with Singapore Subsidiary
South Korean AI chipmaker FuriosaAI has established a local subsidiary in Singapore, FuriosaAI Singapore Pte. ... multimodal AI, and agentic AI. The ...
finance.biggo.com ↗
Where this comes from
Artificial Intelligence — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…
Agentic AI — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…
AI Agents — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…
Data Science — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…
Large Language Model — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…
Machine Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…
Deep Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…
LLMs Alignment — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…
AI Alignment — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…
Representation Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…
Reinforcement Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…
Generative AI — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…
Multimodal AI — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…
Mechanistic Interpretability — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…
RLHF — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…
Feeds are configured through the LEARN_FEEDS environment variable, so new
sources can be added without a code change. Each poll sends the stored ETag and
Last-Modified headers, so an unchanged feed answers 304 and costs the
publisher nothing.