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312 articles · Page 4 of 4
DataFunTalk
DataFunTalk
Jan 11, 2019 · Artificial Intelligence

Challenges in Natural Language Understanding and the Neural‑Symbolic Approach (Object‑Oriented Neural Programming)

The article examines why natural language understanding is intrinsically difficult, outlines four core linguistic challenges, proposes a neural‑symbolic integration framework with three design principles, introduces the Object‑Oriented Neural Programming (OONP) architecture, and showcases real‑world applications in public security, legal document analysis, and financial fraud detection.

AI researchKnowledge Graphneural-symbolic integration
0 likes · 16 min read
Challenges in Natural Language Understanding and the Neural‑Symbolic Approach (Object‑Oriented Neural Programming)
Meitu Technology
Meitu Technology
Jun 25, 2018 · Artificial Intelligence

Meitu Short Video Real-Time Classification Challenge MTSVRC

The Meitu Short Video Real-Time Classification Challenge (MTSVRC), co‑hosted by the PRCV conference, Meitu and the Chinese Academy of Sciences, releases the industry‑largest dataset of over 100,000 five‑to‑15‑second videos in 50 categories, judging both classification accuracy and real‑time speed, and offers cash prizes up to ¥100,000 plus presentation opportunities for top teams.

AI researchAcademic ConferenceMTSVRC
0 likes · 5 min read
Meitu Short Video Real-Time Classification Challenge MTSVRC
AntTech
AntTech
Jan 18, 2018 · Artificial Intelligence

cw2vec: Learning Chinese Word Embeddings with Stroke n-grams

The cw2vec paper, presented at AAAI 2018, introduces a Chinese word embedding method that leverages stroke n‑grams to capture character semantics, proposes a novel loss function, demonstrates consistent improvements over existing models across similarity, analogy, classification and NER tasks, and discusses real‑world AI applications.

AAAI 2018AI researchChinese NLP
0 likes · 7 min read
cw2vec: Learning Chinese Word Embeddings with Stroke n-grams
AntTech
AntTech
Dec 22, 2017 · Artificial Intelligence

Transfer Learning: Concepts, Challenges, and Recent Research Highlights from CIKM 2017

This article reviews the key concepts, challenges, and recent research on transfer learning presented at CIKM 2017, covering instance, feature, parameter, and relation‑based methods, supervised and unsupervised deep TL approaches, and transitive transfer learning with associated loss formulations and optimization strategies.

AI researchTransfer Learningdeep learning
0 likes · 9 min read
Transfer Learning: Concepts, Challenges, and Recent Research Highlights from CIKM 2017
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 28, 2017 · Artificial Intelligence

Inside Alibaba AI Lab: Dr. Wang Gang on Multimodal AI and Edge Computing

In an exclusive interview, Alibaba AI Lab's distinguished scientist Dr. Wang Gang discusses the lab's research on multimodal AI, edge computing, AI hardware, bio‑inspired cognition, quantum‑deep‑learning integration, and the challenges of moving from recognition to true understanding, while also outlining Alibaba's AI talent recruitment plans.

AI researchAI talent recruitmentcomputer vision
0 likes · 25 min read
Inside Alibaba AI Lab: Dr. Wang Gang on Multimodal AI and Edge Computing
Qunar Tech Salon
Qunar Tech Salon
Jul 3, 2017 · Artificial Intelligence

Interview with Dr. Lv Zhengdong on Neural‑Symbolic Systems and the Future of Natural Language Understanding

Dr. Lv Zhengdong discusses the challenges of true language understanding, the integration of symbolic reasoning with neural networks, recent advances in neural‑symbolic models, and the practical prospects of NLP in domains such as law and finance, emphasizing the need for hybrid approaches.

AI researchInterviewNLP
0 likes · 16 min read
Interview with Dr. Lv Zhengdong on Neural‑Symbolic Systems and the Future of Natural Language Understanding
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 24, 2017 · Artificial Intelligence

Unlocking StarCraft AI Research with the Open-Source Gym StarCraft Platform

StarCraft, a classic real‑time strategy game, has become a key testbed for deep reinforcement learning and AI research, and Alibaba's open‑source Gym StarCraft platform now offers Python‑based, TensorFlow‑compatible tools that simplify agent development and evaluation within the OpenAI Gym ecosystem.

AI researchStarCraftdeep learning
0 likes · 3 min read
Unlocking StarCraft AI Research with the Open-Source Gym StarCraft Platform
Ctrip Technology
Ctrip Technology
Aug 5, 2016 · Artificial Intelligence

Advances in Deep Learning for Speech and Semantic Understanding: Insights from Huawei Noah's Ark Lab

The article reviews a decade of deep‑learning breakthroughs, highlights Huawei Noah's recent research on speech, image and natural‑language processing, and discusses future trends such as neural‑symbolic integration, end‑to‑end learning, and knowledge‑driven AI systems.

AI researchHuaweinatural language processing
0 likes · 8 min read
Advances in Deep Learning for Speech and Semantic Understanding: Insights from Huawei Noah's Ark Lab
Art of Distributed System Architecture Design
Art of Distributed System Architecture Design
Oct 8, 2015 · Artificial Intelligence

Facebook AI Research (FAIR): History, Teams, Projects, and Vision

The article chronicles Facebook's evolution from a social platform into a leading AI research hub, detailing the founding of FAIR, its key personnel, ambitious goals, major projects such as memory networks, embedding world, DeepFace, language technology, and the M assistant, and highlights the open, collaborative nature of its AI work.

AI researchArtificial IntelligenceFAIR
0 likes · 17 min read
Facebook AI Research (FAIR): History, Teams, Projects, and Vision