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Ring Reservoir Neural Networks for Graphs

arXiv.org Machine Learning

Machine Learning for graphs is nowadays a research topic of consolidated relevance. Common approaches in the field typically resort to complex deep neural network architectures and demanding training algorithms, highlighting the need for more efficient solutions. The class of Reservoir Computing (RC) models can play an important role in this context, enabling to develop fruitful graph embeddings through untrained recursive architectures. In this paper, we study progressive simplifications to the design strategy of RC neural networks for graphs. Our core proposal is based on shaping the organization of the hidden neurons to follow a ring topology. Experimental results on graph classification tasks indicate that ring-reservoirs architectures enable particularly effective network configurations, showing consistent advantages in terms of predictive performance.


Measuring the Impact: Demand for Artificial Intelligence in the Telecommunication Product Augmented by Global Outbreak of COVID-307 โ€“ Cole Reports

#artificialintelligence

The new report on the global Artificial Intelligence in the Telecommunication market is an extensive study on the overall prospects of the Artificial Intelligence in the Telecommunication market over the assessment period. Further, the report provides a thorough understanding of the key dynamics of the Artificial Intelligence in the Telecommunication market including the current trends, opportunities, drivers, and restraints. The report introspects the micro and macro-economic factors that are expected to nurture the growth of the Artificial Intelligence in the Telecommunication market in the upcoming years and the impact of the COVID-19 pandemic on the Artificial Intelligence in the Telecommunication . In addition, the report offers valuable insights pertaining to the supply chain challenges market players are likely to face in the upcoming months and solutions to tackle the same. The report suggests that the global Artificial Intelligence in the Telecommunication market is projected to reach a value of US$XX by the end of 2029 and grow at a CAGR of XX% through the forecast period (2019-2029).


How 5G Will Unleash AI

#artificialintelligence

When it comes to the 5G roll-out, AI will definitely be supercharged. "AI is a huge priority," said John Smee, who is the VP of engineering and head of 5G R&D for Qualcomm. "We are seeing at transformation happening, with AI going from the cloud to being distributed, such as on the edge or IoT devices." In preparation for this, Qualcomm has been embedding AI capabilities on its chips. Note that its AI engine has applications for cameras, battery life, security and gaming--allowing for neural network processing.


How 5G Will Unleash AI

#artificialintelligence

When it comes to the 5G roll-out, AI will definitely be supercharged. "AI is a huge priority," said John Smee, who is the VP of engineering and head of 5G R&D for Qualcomm. "We are seeing at transformation happening, with AI going from the cloud to being distributed, such as on the edge or IoT devices." In preparation for this, Qualcomm has been embedding AI capabilities on its chips. Note that its AI engine has applications for cameras, battery life, security and gaming--allowing for neural network processing.


AI software revenue to surge by a factor of 12 by 2025 - Omdia

#artificialintelligence

LONDON (April 29, 2020) -- Global AI software revenue is projected to increase by 12-fold in the next seven years, skyrocketing from $10.1 billion in 2018 to $126.0 billion in 2025 according to Omdia. "The global AI market is entering a new phase in 2020 where the narrative is shifting from asking whether AI is viable to declaring that AI is now a requirement for most enterprises that are trying to compete on a global level," said Keith Kirkpatrick, principal analyst with Omdia. "AI is likely to trigger major transformations in industries where there is a clear case for incorporating AI, rather than in pie-in-the-sky use cases that may not generate a return on investment (ROI) for many years." Top use cases Demand for artificial intelligence in the consumer, enterprise, government and defense sectors is growing. Currently, the number of business-to-business (B2B) software opportunities related to AI total 333 and cover 28 industry sectors, with 203 unique use cases.


SoftBank's super-fast 5G network isn't very useful just yet

The Japan Times

SoftBank Corp.'s fifth-generation wireless service in Japan is living up to the hype in at least one respect -- internet speeds that are blazingly fast even by the standards of one of the most connected countries in the world. The carrier's month-old 5G network topped out at 1.1 gigabits per second for downloads and about 30 megabits for uploads in tests carried out by Bloomberg News in Tokyo. Speeds of this kind, far surpassing typical wired broadband connections, have previously been possible only by pushing a fiber optic cable directly into a user's home. But there are significant pieces still missing and preventing mass adoption: Coverage is severely limited for now, there's little in the way of appealing content to capitalize on all that extra bandwidth and mobile data plans have yet to be revised to account for the much-increased consumption that 5G portends. SoftBank and local rivals KDDI Corp. and NTT Docomo Inc. all launched their 5G offerings in late March in a handful of metropolitan areas around the country, while newcomer Rakuten Inc. has targeted June for launch.


Artificial Intelligence Development Company in India, Custom Chatbot

#artificialintelligence

Intelligence is groomed by information and it is how the information is given in that determines the intensity of artificial intelligence. Given the fact that we communicate with languages and languages serve as the epicenter of conveying our ideas, Language Processing as conversational as it can be is one of the things that makes artificial intelligence more interesting. This aspect, known as Natural Language Processing or NLP is a subset of artificial intelligence. Natural Language Processing can teach the Machines to listen to human conversations in a practical way and comprehend the meaning out of it in a logical or technical way. Natural Language Processing, if applied accurately, can help in a variety of industries and segments including retail, telecommunication, E-Commerce and in various regions like sales, support, and marketing.


TALKING DATA MOBILE USER DEMOGRAPHICS

#artificialintelligence

Nothing is more comforting than being greeted by your favorite drink just as you walk through the door of the corner cafรฉ. While a thoughtful barista knows you take a macchiato every Wednesday morning at 8:15, it's much more difficult in a digital space for your preferred brands to personalize your experience. Talking Data, China's largest third-party mobile data platform, understands that everyday choices and behaviors paint a picture of who we are and what we value. Currently, Talking Data is seeking to leverage behavioral data from more than 70% of the 500 million mobile devices active daily in China to help its clients better understand and interact with their audiences. So, the business problem is to predict the demographic characteristics of the users using their app usage,geographical location and device properties.


6G White Paper on Edge Intelligence

arXiv.org Artificial Intelligence

In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning and artificial intelligence become crucial for several real-world applications including but not limited to, more efficient manufacturing, novel personal smart device environments and experiences, urban computing and autonomous traffic settings. We present edge computing along with other 6G enablers as a key component to establish the future 2030 intelligent Internet technologies as shown in this series of 6G White Papers. In this white paper, we focus in the domains of edge computing infrastructure and platforms, data and edge network management, software development for edge, and real-time and distributed training of ML/AI algorithms, along with security, privacy, pricing, and end-user aspects. We discuss the key enablers and challenges and identify the key research questions for the development of the Intelligent Edge services. As a main outcome of this white paper, we envision a transition from Internet of Things to Intelligent Internet of Intelligent Things and provide a roadmap for development of 6G Intelligent Edge.


Sky internet down: Broadband network hit by outage as websites fail to load for some users

The Independent - Tech

Sky internet has been hit by network problems, leaving people unable to load websites. The company said that it was working to fix the problems, which came as many people are working from home as part of the UK's lockdown. Issues appeared to be particularly prevalent in Cornwall, which Sky said had been traced to a technical problem. "After investigation by the support teams we are now able to confirm that there is a multiple exchange outage in the area," it wrote on Twitter. "We are working hard to put a fix in place."