BestHub
Sign in
Tagged articles

Data Scaling

11 articles · Page 1 of 1
AntTech
AntTech
Sep 2, 2026 · Artificial Intelligence

ECCV 2026 Paper Showcase: Breaking Vision Perception & Prediction Boundaries

This article summarizes four ECCV 2026 papers: a dynamic cross-layer injection framework for deep vision-language fusion, an event-augmented VLA model enabling robot operation in extreme darkness and blur, a predictive differentiable rendering method using 2D Gaussians for high-fidelity video prediction, and a data-scaling approach for high-resolution weather forecasting that demonstrates clear scaling laws.

Data ScalingECCV 2026Embodied AI
0 likes · 10 min read
ECCV 2026 Paper Showcase: Breaking Vision Perception & Prediction Boundaries
SuanNi
SuanNi
Jul 30, 2026 · Artificial Intelligence

3B Activation Parameters Enable State‑of‑the‑Art Agentic Coding: KAT‑Coder‑V2.5‑Dev Open‑Source Release

KAT‑Coder‑V2.5‑Dev, a 350 B‑parameter MOE model with 3 B activation parameters built on Qwen3.6‑35B‑A3B, achieves top agentic coding performance on PinchBench and near‑top on SWE‑Bench Pro, and the article details its environment construction, data scaling, RL design, and stability improvements.

Data ScalingKAT-CoderReinforcement Learning
0 likes · 12 min read
3B Activation Parameters Enable State‑of‑the‑Art Agentic Coding: KAT‑Coder‑V2.5‑Dev Open‑Source Release
Machine Heart
Machine Heart
Jul 7, 2026 · Artificial Intelligence

Can Robots Really Understand Humans? Inside the VLIA Intent‑Driven Embodied AI Model

DeepStar’s VLIA model places intention understanding at the core of embodied AI, using a Vision‑Language‑Intention‑Action architecture, high‑bandwidth facial interfaces, and a data pipeline that scales intent‑supervised trajectories from short‑drama and game collaborations, aiming to turn household robots into true interactive partners.

Data ScalingEmbodied AIHuman-Robot Interaction
0 likes · 15 min read
Can Robots Really Understand Humans? Inside the VLIA Intent‑Driven Embodied AI Model
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Jul 3, 2026 · Artificial Intelligence

Why Every Enterprise AI System Eventually Needs a Search Engine

The article explains that while small‑scale AI projects can rely solely on prompting large models, growing data volumes and complex queries force enterprises to combine LLMs for understanding and generation with search engines for fast, accurate retrieval, making the two technologies complementary rather than interchangeable.

Data ScalingEnterprise AIRetrieval Augmentation
0 likes · 6 min read
Why Every Enterprise AI System Eventually Needs a Search Engine
Machine Heart
Machine Heart
Jun 23, 2026 · Industry Insights

Momenta's Physical AI IPO: World Model as the New AI Foundation

Momenta has cleared the Hong Kong Stock Exchange listing hearing, positioning itself as the first "Physical AI" stock with its R7 World Model—a three‑layer architecture that leverages massive real‑world driving data, simulation and reinforcement learning—to challenge Nvidia, Tesla and Anthropic while targeting a multi‑trillion‑dollar market.

AI marketAutonomous DrivingCommercial Loop
0 likes · 17 min read
Momenta's Physical AI IPO: World Model as the New AI Foundation
Baobao Algorithm Notes
Baobao Algorithm Notes
Oct 25, 2023 · Artificial Intelligence

How Mixed Data Shapes LLaMA SFT: Scaling Trends, Conflict Zones, and the DMT Remedy

This article investigates how mixing data from mathematical reasoning, code generation, and general instruction-following tasks influences supervised fine‑tuning of LLaMA models, revealing distinct scaling curves, resource‑dependent performance conflicts, and a two‑stage DMT strategy that mitigates catastrophic forgetting while boosting overall capability.

DMT StrategyData ScalingLlama
0 likes · 14 min read
How Mixed Data Shapes LLaMA SFT: Scaling Trends, Conflict Zones, and the DMT Remedy
AntTech
AntTech
May 25, 2020 · Artificial Intelligence

The Evolution of Technology: From the Agricultural Revolution to the AI Era

This essay traces humanity's technological journey—from early agricultural and industrial revolutions through the rise of computing, cloud, and artificial intelligence—highlighting how demand, generalization, cost reduction, and safety shape each breakthrough and drive societal transformation.

AIData Scalingcomputing
0 likes · 21 min read
The Evolution of Technology: From the Agricultural Revolution to the AI Era
Alibaba Cloud Developer
Alibaba Cloud Developer
May 24, 2020 · Artificial Intelligence

Why Technology Revolutions Shape AI: From Steam Engines to Cloud Computing

From the agricultural revolution to the industrial age and now the AI era, this essay traces how societal needs drive technological breakthroughs, examines the stages of technology maturation—generalization, cost reduction, and safety—and explains how computing power, data, and cloud infrastructure enable the intelligent, scalable systems of today.

Artificial IntelligenceData Scalingcomputing
0 likes · 23 min read
Why Technology Revolutions Shape AI: From Steam Engines to Cloud Computing
Qunar Tech Salon
Qunar Tech Salon
Dec 4, 2015 · Databases

Scaling Massive Data at Alibaba: From Oracle to MySQL Sharding and Distributed Solutions

The article details how Alibaba tackled explosive data growth by migrating from a single Oracle instance to a multi‑source architecture using horizontal and vertical sharding, MySQL clusters, KV stores, and proprietary tools such as Erosa, Otter, and Cobar to achieve high availability, consistency, and performance across multiple IDC sites.

AlibabaData ScalingMySQL
0 likes · 16 min read
Scaling Massive Data at Alibaba: From Oracle to MySQL Sharding and Distributed Solutions