International Conference on Artificial Intelligence, Robotics & IoT August 21-22, 2018 Paris, France

Biography:

Alexander is a game industry veteran with a background in Linguistics and Philology as well as Programming and Quality Assurance. He is currently a Test Manager at Blizzard Entertainment. In the early 90s Alexander did a three-year apprenticeship and became a state certified programmer in Germany, then went on to study German Linguistics and English and American Philology at the FAU in Erlangen-Nuremberg, before entering the gaming industry and Quality Assurance in particular.In his capacity as a Test Manager, his work includes evaluating, exploring test automation opportunities in regards to creative Localization QA.

Abstract:

AI and Robotics have influenced the way games are designed and played over the past decades, from the early days of scripted behaviour to procedurally created content up to player modelling via neural networks and evolutionary algorithms. We take a brief look at AI and Robotics in games, player models and modern game turing tests with deep reinforced learning, which changed and keep changing the way we interact with, design and test games. Today’s cognitive services such as speech recognition, natural language understanding and computer vision among others have already led to amazing success with difficult games such as Go and StarCraft, although winning still poses a challenge regarding the latter, for now...

Biography:

Abstract:

Rockstart, one of Europe’s first multi-vertical startup accelerators, was founded in Amsterdam in 2011 with a goal to provide startups with access to the market, capital, knowledge, and community. Since then Rockstart has become the specialist in building entire ecosystems around specific domains—such as Digital Health, Smart Energy, and Artificial Intelligence. Rockstart is actively building up entrepreneurial infrastructures around the world with its acceleration verticals, as well as early-stage startup programs, Rockstart Impact and Rockstart Launchtrack. Since the inception, Rockstart has invested in more than 100 startups and supported them in their journey to raise more than €62 million and hire more than 630 people. Rockstart is an international team of 40+ professionals dedicated to support and empower startups to become scalable and change their world for the better.

Applications are open for the second edition of the only AI accelerator in Europe to support the next wave of entrepreneurs to innovate. Our program helps startups build their AI solutions and scale along some of the top leading partners in their industries such as Vodofone Ziggo, NVIDIA, Radbound UMC, JADS University and more.

Biography:

Abstract:

Deep learning frameworks have been widely deployed on GPU servers for deep learning applications in both academia and industry. In training deep neural networks (DNNs), there are many standard processes or algorithms, such as convolution and stochastic gradient descent (SGD), but the running performance of different frameworks might be different even running the same deep model on the same GPU hardware. In this paper, we evaluate the running performance of four state-of-the-art distributed deep learning frameworks (i.e., Caffe-MPI, CNTK, MXNet and TensorFlow) over single-GPU, multi-GPU and multi-node environments. We first build performance models of standard processes in training DNNs with SGD, and then we benchmark the running performance of these frameworks with three popular convolutional neural networks (i.e., AlexNet, GoogleNet and ResNet-50), after that we analyze what factors that results in the performance gap among these four frameworks. Through both analytical and experimental analysis, we identify bottlenecks and overheads which could be further optimized. The main contribution is that the proposed performance models and the analysis provide further optimization directions in both algorithmic design and system configuration.

Biography:

Susan Johnston, known as a Media Futurist, is President of Select Services Films, Inc. a certified DBE multiple award winning production company. Susan founded the critically acclaimed New Media Film Festival in 2009.  The festival honors stories worth telling by bridging story and technology with innovative mediums and ever changing delivery platforms.

Susan is a pioneer in media with many 1st production and industry innovations including: 1st live stream HD talk show, 1st to screen AI created content, 1st to offer Emmys Consulting and Broadcasting, 1st to show VR as a collaborative experience , etc.

Prior to relocating to Los Angeles in 2000, Susan, a New England native, worked with the Providence & Rhode Island Film Commissions over five years to build the infrastructure still in use today. She developed Context Media Studios International production capabilities as well as garnered funds before Senate Committee hearings and helped facilitate the 25% tax incentive for investors of films in Rhode Island.

Abstract:

AI & IoT, New Media, It’s not only changing the way we use media, but also the quality of people’s lives. It’s already being used in a number of different industries, from education to business and even real estate. We will discuss this evolution and how LBE’s, 360, AR, VR, MR, AI, Mobile, Social, Streaming, Gaming, Real Time CG, HCap, Room Scale, Holograms, HCap, room scale, holograms are changing the paradigm. In addition we will screen cutting edge – innovative content utilizing in some of these sectors.

We will discuss innovative mediums being utilized today and how constant emerging technology is changing how we experience content. As stories are part of media, we will explore storytelling thematically by technology utilized through innovative content by screening “cutting edge” (Huffington Post) world premieres programmed in June at New Media Film Festival so you can experience the merging of content and technology.

Biography:

KyuTae Ahn, is one of the early supporter of several block chain project from 2015,  Huge communication with blockchainer and block chain communities. He was made cryptography chip (SoC) in 20years ago, when he was a students of master course. It will be the base science of securities and further block chain researches. Especially, He is interested on applying block chain technologies to IoT, which is very light sensor devices, and to Fair Creative Contents Industry with backend platforms.

He researching and developing big themes block chain smart contract application machine on IoT and XR(eXtensible Reality) Streaming platforms, which is Super Ultra High-resolution Video contents will be tiled , cognitive and weighted streaming and it will scalable and more effective bandwidth usage than current streaming systems. Its' streaming base on adaptive streaming, which MPEG-DASH and HLS.

He is also a patent owner, developer, miner, and block chain enthusiast. Before Founding His Company , trust farm, He has 18 years of expertise as a global broadcaster of integrated development; product manager of UHD streaming service at LG electronics; and co-operation with BBC, Ziggo, Netflix, YouTube, and CJ.

Abstract:

The Innovation of high technology does not make most of human being’s utopia life. However, like as nature, if Internet of Everything (IoE) has independent and unique intelligences, and connected peer to peer, behaviour securely then this kind of technologies can trigger a revolutionary and paradigm change that can contribute to most of human beings utopia life.

Now, we are facing a very critical season, how to directing the AI and IoE technology.

Biography:

Joy I. Z. Chen was born in Taiwan. He received his B.S. degree in electronic engineering from National Taiwan Technical University, Taipei, Taiwan, in 1985ï¼› M.S. degree in electrical engineering from Da-Yeh University, Chang Hua, Taiwan, in 1995; and the Ph. D. degree in electrical engineering from National Defense University, Tao-Yuan, Taiwan, in 2001. He is currently a distinguished professor in the Department of Electrical Engineering at Da-Yeh University, Chang-Hua Taiwan R.O.C. Prior to joining the Da-Yeh University faculty, he worked at the Control Data Company (Taiwan) as a technical manger from September 1985 to September 1996. His research interests include wireless communications, communication theory, communication statistics, and technical spread spectrum.        

Abstract:

To govern the interaction and the development of applications over the IoT (internet of things) environment without considering the security is still a concerned issue nowadays. The study on huge of security issues relevant to the application layer of IoT is becoming urgently. On the other hand, it is important for addressing the development of security algorithm to protect the IoT system from malicious attack. In this article, a fusion diversity scheme adopts both MRC (maximum ratio combining) and SC (selection combining) schemes with BF (belief propagation) algorithm are proposed. In MRC stage, specified parameters first extracted and before combined with the control information they weighted by one estimation value. The fused information results from MRC forward to the SC to generate the final trust value for making the decision. However, there is a final stage of BF adopted as the role provides with a guaranteed QoS over IoT architecture. The simulation results from experiments deployed with physical assessment show that the security has more reliability after the fusion of MRC/SC schemes and BP (belief propagation) algorithm for the TM procedure. In fact, there are many existing traditional solutions developed to count different attacks for the computer network or for each layer of the internet. For example, the encryption of information used for confidentiality and there are many other most popular cipher algorithms, such as RSA (Rivest Shamir Adleman), ECC (error correlation code), AES (advanced encryption standard), 3DES (triple data encryption algorithm). Based on the aforementioned points that motivates the paper propose an algorithm to fuse the scheme of TM with a famous linear diversity method, MRC (maximum ratio combining), for IoT security. The proposed fusion diversity scheme is more reliable in terms of security validated by the simulation. Alternatively, the reducing QoS degree for the requester is the penalty.

Biography:

Sourav Rout is a senior management professional, having worked for most part of his decade-old career in telecommunications, with additional exposure to cyber security and data science industries. Currently with the Telenet Group in Brussels, he contributes to the Internet of Things initiative, long-term technology strategy and enhancing operational excellence. His experience spans strategy, analytics, partnerships and business process management.

Sourav obtained the MBA from the Indian Institute of Management Bangalore and MS in Telecoms from Telecom ParisTech, France. Happily married, he finds strength in the company of his wife and they enjoy taking long walks and listening to music.
 

Abstract:

The Internet of Things is causing a proliferation of heterogenous data acquisition points (such as devices and sensors). As companies struggle to understand and make use of the data so acquired for sustained growth and monetization, governance of this data holds key. Not all the data is good or usable; and not every data will be used.

It is important for companies to understand why they need the data they want to acquire, how will they treat this data and who will use them. This presentation touches upon the organizational preparedness with regards to data processing and utilization, and outlines the challenges companies face in framing a data governance model. It then goes on to propose a template framework that can be utilized.

Finally, with the help of key uses cases (in telecoms) built around AI and Machine Learning, the author emphasizes on the need of having a well structured data governance policy that help build up such use cases that facilitate maintaining competitive advantage and customer delight.

Biography:

Hansal is a Computer Science and Engineering student who has completed his 2nd year from Pandit Deendayal Petroleum University. Multidisciplinary research topics interest him. He is a cisco certified network associate (CCNA) and a cisco certified network professional (CCNP) in routing and switching. He is a fellowship holder of the premier research scholarship of India—the KVPY Fellowship. He has presented more than 3 papers in reputed conferences at national level and has been helpful to multiple fellow students for their research interests. He is also a co-founder of an IT based start-up that is under incubation under central government funding scheme.

Abstract:

To solve these problems we have tried to mount a fuzzy logic based inference system to classify the queuing-incoming packets (voice, video and text). Network management is becoming increasingly essential with the acute rise in the number of applications that use computer networks and the advent of ubiquitous internet access. Thus availability, integrity and competency of computer networks becomes a priority today and a crucial resource to be managed. To assess the effectiveness of these networks, the traffic parameters need to be analysed.

This paper attempts to apply a fuzzy logic scheme --based on descriptors like energy, centrality, concentration etc. to recognise whether an instance represents an anomaly or not. Indeed the paper proposes an intelligent system with the capability to monitor the network's traffic (specifically VoIP) flow. The proposed anomaly detection system exposes network problems autonomously issuing alarms when a possible problem is present.

Biography:

Abstract:

Artificial intelligence is the use of computer systems to develop systems that can perform human tasks, and mimic humans for example through Visual perception, speech recognition, language translation and decision-making processes. Artificial intelligence is key to the development of media businesses, where an example of Google assistant is now a familiar feature in most business. In the digital media, Artificial intelligence tools can be used to differentiate different publishers in a crowded market by sending the correct message to the right clients at the set time. Media companies currently use Facebook and Google to transmit news information; this has enabled the businesses to fight fairly on the same platform. The digital media then provides to the user's relevant news that they desire at that time, like when you want to buy a new phone the systems can select a list and give you better options to choose from as from low prices to those discounted (Iliopoulos, 2017).

Currently, Artificial Intelligence is being used on programmatic media where they are using a demand-side platform (DSP) such as Google DoubleClick Bid Manager. Some of the keys feature brought to the business by Artificial Intelligence includes simplified procurement and buying process, real-time reporting, automated budget, and real-time bidding models that all contribute towards improving business performance. What it has is also implemented in doing business analytics and business engineering, where the media like social media will act as a workbench to collect user information of preferences and choices; it will also analyze the business competitiveness in the markets and lastly compare the business with other important companies of similar types. From the data collected the business can easily strategize or re-strategize on their business goals and work towards making more profits (Porter, 2018).

Artificial Intelligence tools used currently in the media include the: -

1.      Google AdWords that optimizes the search engines such that using machine learning technology adverts will be displayed that might interest the users, based on their keywords, search item or device and your location.

2.      Google Analytics and Pave AI are used for business analytics where they can analyze user data and give a plan to perform a strategic action. Pave AI uses graphs and charts to recommend actions and recommendations.

3.      Facebook AI research helps communities to understand the importance of system automation and use of AI influenced advertisements.

Future impacts of AI to the media includes increases in job performances, reduced time of performing transactions and association of robots and humans working together to achieve organizations objectives. Other contributions of AI are the reduction in menial and tedious jobs and physically strenuous tasks. But all are not positive; some of the disadvantages include loss of employment by a replacement for more useful machines.

In conclusion, AI is key to the next phase of media where the business will compete in the similar platform with no bias, as long as they stick to the required rules and guidelines. Companies need to use the media to market themselves and their brands out there for others to see and make their conclusions on the products.