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Jan 7, 2026 · Artificial Intelligence

How Bi‑C2R Achieves Re‑indexing‑Free Lifelong Person Re‑identification

The paper introduces Bi‑C2R, a bidirectional continual compatible representation framework that eliminates the need for feature re‑extraction while enabling lifelong person re‑identification through novel transfer, distillation, and dynamic fusion modules, achieving state‑of‑the‑art accuracy on multiple benchmarks.

Deep LearningIEEE TPAMILifelong Learning

0 likes · 15 min read

How Bi‑C2R Achieves Re‑indexing‑Free Lifelong Person Re‑identification

AI2ML AI to Machine Learning

Oct 24, 2025 · Artificial Intelligence

Beyond RAG: Three Emerging Knowledge‑Engineering Strategies (ICL, Online Learning, SLM)

The article outlines three post‑RAG knowledge‑engineering approaches—In‑Context Learning with dynamic few‑shot selection, Online Learning encompassing Meta‑Learning and Lifelong Learning to quickly adapt to new tasks, and the Small Language Model path that combines fine‑tuned task‑specific experts with LLM‑SLM collaboration for efficient, privacy‑preserving inference.

In-Context LearningKnowledge EngineeringLLM

0 likes · 4 min read

Beyond RAG: Three Emerging Knowledge‑Engineering Strategies (ICL, Online Learning, SLM)

Data Party THU

Oct 2, 2025 · Artificial Intelligence

Bridging Human and Machine Learning: Meta Prompt Tuning and Lifelong Few-Shot Language Models

This article presents a comprehensive study on enhancing language models with few‑shot and continual learning techniques, introducing Meta Prompt Tuning, Dynamic Module Expansion, and the LFPT5 framework to achieve more human‑like, efficient, and adaptable learning across evolving tasks.

Lifelong Learningcontinual learninglanguage models

0 likes · 8 min read

Bridging Human and Machine Learning: Meta Prompt Tuning and Lifelong Few-Shot Language Models

AI Frontier Lectures

Apr 13, 2025 · Artificial Intelligence

How SICOG Enables Self‑Evolving Multimodal Models with Zero‑Label Data

The paper introduces SICOG, a three‑stage collaborative framework that combines post‑training enhancement, inference optimization, and re‑pretraining with a self‑generated data loop, allowing large multimodal models to continuously improve without massive human‑annotated datasets, and demonstrates consistent gains across dozens of benchmarks.

Lifelong LearningModel Scalingchain‑of‑thought

0 likes · 12 min read

How SICOG Enables Self‑Evolving Multimodal Models with Zero‑Label Data

dbaplus Community

Nov 3, 2024 · Fundamentals

Why Technology Is Just a Tool: A 7‑Year Engineer’s Journey Through Industry Shifts

The author reflects on seven years of software engineering, analyzing the slowing internet market, evolving supply‑demand dynamics, four personal stages of understanding technology as a tool, future opportunities in big firms, digital transformation, AI, and practical advice for lifelong learning and career growth.

AICareer DevelopmentDigital Transformation

0 likes · 13 min read

Why Technology Is Just a Tool: A 7‑Year Engineer’s Journey Through Industry Shifts

Huawei Cloud Developer Alliance

Nov 3, 2023 · Artificial Intelligence

Can LLMs Master Lifelong Learning? Exploring MoE and Continuous Adaptation

This article explains how large language models can achieve continual lifelong learning, outlines the key properties required, reviews mixture‑of‑experts (MoE) techniques—including sparse MoE, GShard, Switch Transformer, GLaM and PanGu‑Sigma—and discusses the remaining challenges such as model complexity, expert balancing and distributed communication overhead.

LLMLifelong LearningMixture of Experts

0 likes · 9 min read

Can LLMs Master Lifelong Learning? Exploring MoE and Continuous Adaptation

Model Perspective

Jul 5, 2023 · Fundamentals

21 Evidence‑Based Conclusions on How People Learn

This article presents 21 research‑backed conclusions about learning, covering cultural influences, learning types, knowledge and reasoning, motivation, school learning implications, learning technologies, and lifelong learning, with both Chinese summaries and English translations for each point.

Learning TheoryLifelong LearningMotivation

0 likes · 26 min read

21 Evidence‑Based Conclusions on How People Learn

Continuous Delivery 2.0

Mar 1, 2023 · Fundamentals

The Importance of Continuous Architecture and Lifelong Learning for Software Engineers

The article emphasizes that in the fast‑changing IT field, software engineers must continuously learn and adopt continuous architecture principles—guided by product thinking, quality attributes, and agile practices—to stay relevant, solve problems effectively, and sustain long‑term value creation.

Continuous ArchitectureEngineering GrowthLifelong Learning

0 likes · 9 min read

The Importance of Continuous Architecture and Lifelong Learning for Software Engineers

Huawei Cloud Developer Alliance

Jun 8, 2021 · Artificial Intelligence

Why Edge‑Cloud Lifelong Learning Is the Next Frontier for AI

Edge‑cloud collaborative machine learning faces data latency, cost, compression, privacy, and heterogeneity challenges, prompting a shift from closed learning to lifelong learning that leverages cloud‑side knowledge bases and edge‑side incremental updates, as demonstrated by the Sedna platform’s thermal comfort prediction case study.

AILifelong Learningcloud computing

0 likes · 19 min read

Why Edge‑Cloud Lifelong Learning Is the Next Frontier for AI

21CTO

Jan 28, 2019 · Artificial Intelligence

Why Deep Learning Is the Paradigm Shift Shaping the AI Era

The article traces AI’s origins from the 1956 Dartmouth conference, explains how deep learning has become the driving force behind modern AI applications, discusses the need for a mindset shift, lifelong learning, and strategic adaptation to stay relevant in the rapidly evolving intelligent era.

AI ethicsDeep LearningLifelong Learning

0 likes · 21 min read

Why Deep Learning Is the Paradigm Shift Shaping the AI Era