Qualcomm executives this week attempted to draw contrasts and explain how their approach to cloud computing, artificial intelligence (AI), and mobile edge computing is different than other technology companies and operators. "Our focus is different than the rest of the industry," Jim Thompson, CTO and executive vice president at Qualcomm said during a media gathering at the company's headquarters. AI, an area of technology that Qualcomm has been working on for the better part of a decade, plays a big role in Qualcomm's vision for what it calls the "edge cloud," Thompson explained. "Our focus has been deep neural networks, deep learning for low power, for devices that you would have a battery in and have limited thermal capability," he said, adding that Qualcomm's interest is not the cloud essentially. "AI is very good at consuming large amounts of data. It comes from the edge of the network, it comes from what people do, it comes from sensors, and all of that is at the edge of the network," he said.

AI is great at cutting operational costs. For media, entertainment and telecommunications companies, in fact, some of AI's best uses to date have focused on reducing fraud and squeezing inefficiencies from IT infrastructure. Yet the greatest potential for AI lies in its ability to generate growth. By personalizing the customer experience, AI can help companies in high-churn sectors acquire and retain customers. Which content does the customer prefer?

In this paper, we take a new approach for time of arrival geo-localization. We show that the main sources of error in metropolitan areas are due to environmental imperfections that bias our solutions, and that we can rely on a probabilistic model to learn and compensate for them. The resulting localization error is validated using measurements from a live LTE cellular network to be less than 10 meters, representing an order-of-magnitude improvement.

The internet uses routing tables to determine how and where data is sent and received. Without accurate and reliable tables, the internet would be like a highway system with no signs or signals to direct the traffic to the right places. Of course, cybercriminals find a way to corrupt just about everything that makes the internet work, and routing is no exception. IP hijacking, or BGP (Border Gateway Protocol) hijacking, is a process in which hackers and cybercriminals take over groups of IP addresses by corrupting the routing tables that use BGP. The purpose is to redirect traffic on the public internet or on private business networks to the hijackers' own networks where they can intercept, view, and even modify the packets of data.

I am the co-founder and CEO of Neurala Inc., a Boston-based company building Artificial Intelligence emulating brain function in software. Neurala's deep learning tech makes robots, drones, cars, consumer electronics, toys and smart devices more useful, engaging and autonomous. Neurala stems out of 10 years of research at Boston University Neuromorphics Lab, where as AI Professor I have pioneered the research and fielding of brain-inspired (also called Deep Learning, or Artificial Neural Networks) algorithms that allow robots and drones to perceive, navigate, interact and learn real-time in complex environments. Over my academic and industrial career, I have lectured and spoken at dozens of events and venues, including TEDx, keynote at Mobile World Congress Drone Summit, NASA, the Pentagon, GTC, InterDrone, Los Alamo National Lab, GE, Air Force Research Labs, HP, iRobot, Samsung, LG, Qualcomm, Huawei, Ericsson, BAE Systems, AI World, Mitsubishi, ABB and Accenture, among many others. My work has been featured in TIME, IEEE Spectrum, Fortune, CNBC, The Boston Globe, Xconomy, The Chicago Tribune, TechCrunch, VentureBeat, Nasdaq, Associated Press and many other media.

KT Corporation and Portugal-based WeDo Technologies have signed a Cooperation Agreement for AI-FMS (Artificial Intelligence based Fraud Management System) development and sales. KT's Deep Learning-based Artificial Intelligence (AI) module has been implemented and tested on WeDo's RAID FMS system. This AI module, trained with KT Big Data, has showed strong results for fraud detection and prevention, and has reportedly proved to be effective for a number of fraud use cases, with a high degree of accuracy. KT and WeDo plan to supply the AI-based International Revenue Share Fraud (AI-IRSF) module with the RAID platform to communication service providers (CSPs) by the end of 2019. KT's DL (Deep Learning) based AI module has been implemented and tested on WeDo's RAID FMS system.

As we prepare to enter the next decade, telecoms are being transformed by technology in a variety of ways. From artificial intelligence (AI) to the threat of cyberattack, here are the 7 biggest technology trends that will transform telecoms in 2020. The European Union's 5G action plan includes uninterrupted 5G coverage by 2025 for railways and major roads. In addition to being able to support a hundredfold increase in connected devices per each unit area, 5G will offer ultra-low latency, improved data rates and enable network slicing. This opens the door for new services, network operation and customer experience for telecom operators.

It is our pleasure to invite you to the 4th Huawei International Video Intelligence Forum based in Dublin, Ireland. At this summit you will hear from leading experts and scientists on the impact that AI and Machine Learning has on Visual Computational Networks, from behavior to AR/VR. Huawei has collaborated with leading Universities across the world and this forum is an ideal arena to explore this exciting Innovation. Leading speakers include top Researchers from Imperial College London, Queen Mary and Trinity College Dublin to name a few.

Prospect, build, and maintain business relationships within the Telecommunications and Cable Service Provider industries Identify and generate new business leads for the organization Achieve a personal sales target goals through new and existing business relationships Conduct technical product presentations with consultative selling skills with technical and non-technical clients Provide articulate business value propositions of the organization to clients through proven data analytics from Artificial Intelligence/Machine Learning predictive models Qualifications of Technical Business Executive: 7 years of experience within Business Development supporting Telecommunications and/or Cable Service Provider clients Strong understanding of information technology, technical product capabilities, and ability to speak technically with C-Level executives Extensive personal network with access to a rolodex of Telecommunications and/or Cable Service Provider clients Ability to build and maintain Tier 1 prospects and clients for the organization Excellent communication skills, written and orally, conducting Client meetings, workshops, and presentations Ability to travel nationwide and internationally (when needed) up to 50% of the time Compensation of Technical Business Executive: Up to $140,000 annually (based on experience) plus a comprehensive commission plan Medical, Dental, Vision and 401k benefits offered Paid Time Off, Holidays, and other benefits offered Please send only qualified resumes to Kevin Foster at [email protected] Keywords: Business development, technical business development, sales, sales engineer, account manager, account management, sales account manager, business development manager, business development management, artificial intelligence, machine learning, ai/ml, data analysis, telecommunications, telco, telecom, cable service provider, cable services, csp, information technology, IT, technical sales engineer, pre-sales engineer, presales engineer. Paid Time Off, Holidays, and other benefits offered Please send only qualified resumes to Kevin Foster at [email protected] Keywords: Business development, technical business development, sales, sales engineer, account manager, account management, sales account manager, business development manager, business development management, artificial intelligence, machine learning, ai/ml, data analysis, telecommunications, telco, telecom, cable service provider, cable services, csp, information technology, IT, technical sales engineer, pre-sales engineer, presales engineer.

As we prepare to enter the next decade, telecoms are being transformed by technology in a variety of ways. From artificial intelligence (AI) to the threat of cyberattack, here are the 7 biggest technology trends that will transform telecoms in 2020. The European Union's 5G action plan includes uninterrupted 5G coverage by 2025 for railways and major roads. In addition to being able to support a hundredfold increase in connected devices per each unit area, 5G will offer ultra-low latency, improved data rates and enable network slicing. This opens the door for new services, network operation and customer experience for telecom operators.