Discovery - AI/ML in 5G

This talk presents the Large Wireless Model (LWM), the world’s...

The Internet of Things (IoT) and RF systems are entering...

Recent advancements in large Vision-Language Models (VLMs) and Large Language...

Mobile networks have advanced through five generations, bringing significant benefits...

The ITU AI/ML in 5G Challenge in 2024 (Fifth edition)...

The ITU AI/ML in 5G Challenge in 2024 (Fifth edition)...

With the goal of achieving net-zero emissions by 2050, the...

With the recent proliferation of the Internet of Things (IoT),...

Radio resource management (RRM) involves selecting key transmission parameters—such as...

Mobile phones have greatly transformed our lives, enhancing convenience and...

Massive MIMO base stations, with their large number of antennas,...

Large language models (LLMs) have spearheaded a new era marked...

The utilization of AI is rapidly advancing in the telecommunications...

The ITU AI/ML in 5G Challenge in 2023 (Fourth edition)...

The ITU AI/ML in 5G Challenge in 2023 (Fourth edition)...

In the context of AI, we face a plethora of...

As we advance toward the global adoption of 5G networks,...

The ITU AI/ML in 5G Challenge in 2023 (Fourth edition)...

The ITU AI/ML in 5G Challenge in 2023 (Fourth edition)...

今回のウェビナーでは、2名の専門家による講演 (エキスパートトーク) と、KDDIとRISINGの今年のProblem Statementの解説を行います。      まず初めに東京大学 中尾教授よるこれまでの取り組み内容に関するご講和とNECの篠原様から、デジタルツインの実現に向けて開発したAIベースのライブ映像配信技術についてご紹介いたします。     ...

This talk discusses radio propagation channel characteristics and modeling approaches...

In this webinar, we will kick off with two expert...

As we advance toward the global adoption of 5G networks,...

In recent years, the networking community has produced robust Graph...

Network operators consistently face challenges posed by the tremendous growth...

Augmented and Virtual Reality (AR/VR) and artificial intelligence (AI) are...

As mobile operators initiate the disaggregation of their Radio Access...

The future global cellular infrastructure will underpin a variety of...

As Software-Defined Networks (SDN) become increasingly widespread, securing them against...

The evolution of wireless communications is expected to rely on...

In future 6G networks, digital twins will virtually implement the...

Fault management in telecom O&M (Operations and Maintenance) is essential...

Multi-Access Point Coordination (MAPC) is one of the new features...

The multitude of services and technologies that 5G incorporates have...

The ITU AI/ML in 5G Challenge rallies like-minded students and...

The best solutions for all problem statements of the 2022...

As part of the Machine Learning in 5G Challenge, this...

As part of the Machine Learning in 5G Challenge, this...

As part of the Machine Learning in 5G Challenge, this...

As part of the Machine Learning in 5G Challenge, this...

Generative modeling is an unsupervised learning technique in machine learning....

今回のウェビナーでは、日本で開催される2022 ITU AI/ML in 5Gチャレンジの以下2つのProblem Statementの紹介と、専門家による講演を実施します。  ●KDDI – Network failure prediction...

YouTube’s “Video Chapter” feature segments a video into sections marked...

Extended Reality (XR)-aided teleoperation has shown its potential in improving...

This webinar will introduce 2 problem statements from ZTE for...

This webinar, will introduce 2 problem statements for the 2022...

Obtaining real-world dataset for AI/ML model development and testing for...

In future 6G networks, digital twins could virtually implement the...

Multi-Access Point Coordination (MAPC) is one of the new features...

Wireless communication systems are moving to higher frequency bands (mmWave...

This AI for Good Webinar introduces various approaches to model-based...

This talk introduces the problem statement “I/Q-based Beam Classification with...

In recent years, the networking community has produced robust Graph...

Traffic prediction is one of the key ingredients to fulfill...

As communication networks evolve, we are rapidly approaching the theoretical...

Existing communication systems are mainly built based on Shannon’s information...

The evolution of 5G systems adds ever-increasing complexity and puts...

Fifth-generation (5G) communications networks, aim to be the backbone of...

Due to major  communication, privacy, and scalability challenges stemming from...

Artificial Intelligence (AI) will be the dominant technology of the...

This event marks the first part of the final conference...

Microcontrollers (or MCUs) are very cheap electronic components, usually with just...

Data-Driven algorithms are transforming the wireless baseband. Using data-driven algorithm...

A Reconfigurable Intelligent Surface (RIS) is a planar structure that...

Because of their highly directional transmissions, radios operating at millimeter...

The talk presents an overview and technical highlights of project...

An important development within the triangle of communication, computing, and...

Recent breakthroughs in artificial intelligence and machine learning, including deep...

A indústria de jogos e de outras áreas estão impulsionando...

邀请参加ITU-T AI/ML in 5G挑战赛中国赛区比赛 本次网络研讨会由国际电信联盟 （ITU） 和中国人工智能产业发展联盟（AIIA）联合举行。 国际电信联盟主办的AI/ML in 5G挑战赛中国赛区（由中国人工智能产业发展联盟承办）举办的4个赛题是：...

このウェビナーは、国際電気通信連合(ITU) と情報通信技術委員会(TTC) とのコ ラボレーションにて開催されます。 前半は、ITU主催AI/ML in 5Gチャレンジ日本開催分（電子情報通信学会RISING研 究会が運営）の2課題 ITU-ML5G-PS-015: NFVベーステスト環境における5Gコアネットワーク内の...

This webinar, will introduce 2 problem statements for the challenge...

In future networks, to enable massive number of devices and...

Puzzled by massive log data? Log Anomaly Detection can save...

Gaming and other industries are driving the development of sophisticated...

The ever-growing demand for data is driving a need for...

Human ambient intelligence is a concept that emerged over 20...

Cloud, rain, snow, and other weather-related phenomena affect the performance...

Combinatorial optimization is a very important subfield of computer science,...

Millimeter wave spectrum offers not only large bandwidth for high...

Graph Neural Networks (GNN) have produced groundbreaking applications in different...

With Self Organizing Networks (SON), the Mobile RAN in 4G...

Spatial Reuse (SR) is one of the techniques that is...

Cellular and Wi-Fi communication systems are incorporating millimeter wave spectrum...

Future wireless networks are expected to support a multitude of...

Artificial Intelligence (AI) will be the dominant technology of the...

Fifth generation (5G) cellular networks will serve a wide variety...

Performance scaling with traditional computing architectures becomes increasingly challenging as...

In recent years operators have experienced the tremendous growth of...

Machine learning (ML) starts to be widely adopted in the...

Network slicing enables operators to isolate and customize mobile network...

5G wireless networks are designed based on the fundamental postulate...

With the global deployment and commercialization of the 5G network,...

Deep learning models have been proven to be an effective method to extract content from unstructured data like image, video, sound, and text. When using pre-trained DL models in production, people will need to handle a huge amount of feature vectors/embeddings. Milvus is an open-source vector similarity search engine, which could help users to perform efficient similarity search over billions of vectors.  Jun will introduce the philosophy and design of Milvus and share the scenarios of Milvus to the audience. Milvus is an incubation project in the LF AI foundation.

5G/IMT-2020 and beyond networks will require robust smart algorithms to...

The existing network topology planning does not fully consider the...

In the past decade, deep neural networks (DNNs) have shown...

This presentation involves two technologies: digital twins and knowledge graph...

このウェビナーは、国際電気通信連合(ITU) と情報通信技術委員会(TTC) とのコラボレーションにて開催されます。 専門家をお招きし、前半で[ネットワーク内の機械学習による高度なトラフィック分類と無線LANのための機械学習]、後半で、ジャパンチャレンジの「ITU-ML5G-PS-031：生のビデオデータを分析することによるネットワーク状態推定」と「ITU-ML5G-PS-032：NFVベースのテスト環境によるIPコアネットワークのルート情報障害分析」についてご講演いただきます。 【開催日時】：2020年8月7日（金）　15:00 – 17:00 JST（日本時間） 【プレゼンテーション】： パート1：招待講演　[ネットワーク内の機械学習による高度なトラフィック分類・無線LANのための機械学習]...

[ITU-T Y.3172] specified machine learning function orchestrator (MLFO) as an...

In this webinar, we will host expert talks and introduce...

This talk will focus on two challenges one of which...

The talk will focus on three challenges which use AI...

Stable and high-quality internet connectivity is mandatory to 5G mobile...

The talk will describe the problem ITU-ML5G-PS-018 DNN Inference Optimization.  This problem is about how to optimize inference efficiency of deep learning models since computing efficiency, memory footprint and inference latency tends to be the bottleneck when deploying large deep learning models. The problem will be described in details in the presentation, including why we propose this problem, status quo of related research, what are expected from the competitors/participants and some suggestions will be given. Hopefully more competitors will get intested in this problem and propose their innovative solutions.

The talk is intended to present, describe and solve doubts...

Channel estimation is challenging in millimeter wave systems because it...

The talk will describe the problem “Machine Learning Applied to...

Artificial Intelligence (AI) will be the dominant technology of the...