Tokyo, Japan and Princeton, NJ, U.S.A., May 15, 2018 - NEC Corporation (NEC; TSE: 6701) announced today successful transmission tests that took place over a commercial subsea cable measuring more than 10,000 kilometers using artificial intelligence (AI) and probabilistic shaping at a modulation of 64QAM. NEC, in a joint research publication with Google, has demonstrated for the first time that the FASTER open subsea cable can be upgraded to a spectral efficiency of 6 bits per second per hertz (b/s/Hz) in an 11,000km segment. This represents a capacity of more than 26 terabits per second (Tb/s) in the C-band, which is over 2½ times the capacity originally planned for the cable, for no additional wet plant capital expenditure. In doing so, the authors set a spectral efficiency-distance product record of 66,102 b/s/Hz in a field trial performed together with live traffic neighboring channels. The team achieved this result using near-Shannon probabilistic-shaping at a modulation of 64QAM, and for the first time on a live cable, artificial intelligence (AI) was used to analyze data for the purpose of nonlinearity compensation (NLC).

Tesla Inc's chief executive officer told employees on Monday the company is undergoing a "thorough reorganization," as it contends with production problems, senior staff departures and two crashes last week involving its electric, self-driving cars. CEO Elon Musk said in an email it was "flattening the management structure to improve communication," combining functions and trimming activities "not vital to the success of our mission" in the reorganization. The company confirmed the note that was disclosed earlier by the Wall Street Journal. Tesla is at a critical juncture as it tries to fix production headaches that have slowed the rollout of its Model 3 sedan, a mid-market car seen as key to the company's success, and as it expands on other fronts. Tesla shares fell 1.3 percent to $297 on Monday.

J.P. Morgan announced that Dr. Manuela Veloso will be joining the Corporate & Investment Bank as the head of Artificial Intelligence (AI) Research. Veloso is currently the head of the Machine Learning Department at Carnegie Mellon University, widely considered the preeminent institution in the field. J.P. Morgan has already started to apply machine learning technology across its businesses and functions, and this expanded effort will be aimed at identifying further opportunities. A.I. is among the areas of investment within the bank's annual technology budget of $10.8 billion, with more than half earmarked for new investments. Veloso was named a Carnegie Mellon University Professor in 2014, the highest academic accolade bestowed by the university, and holds the Herbert A. Simon Chair in computer science.

FRISCO, Texas--(BUSINESS WIRE)--Federos, the leading provider of next-generation, service management solutions for telecommunications service providers, managed service providers and enterprises, announced today the availability of an integrated module for its Assure1 solution that provides sophisticated event analytics and machine learning to help customers quickly and accurately pinpoint, analyze and resolve the root cause of service impacting events. Faster mean time to repair results in improved service quality and customer experience, and significant time and resource savings for operations teams. The event analytics module for Assure1 will be offered to customers as an add-on subscription solution. Today, when network and service problems happen, operations teams need to analyze millions of events and data transactions to understand where, when and why the problem occurred before they can fix it. Federos' Assure1 with Event Analytics eliminates and suppresses massive amounts of data noise that can distract operations and affect customer service.

The development of new Artificial Intelligence (AI) technology is often subject to bias, and the resulting systems can be discriminatory, meaning more should be done by policymakers to ensure its development is democratic and socially responsible. This is according to Dr Barbara Ribeiro of Manchester Institute of Innovation Research at The University of Manchester, in On AI and Robotics: Developing policy for the Fourth Industrial Revolution, a new policy report on the role of AI and Robotics in society, being published today. Dr Ribeiro adds because investment into AI will essentially be paid for by tax-payers in the long-term, policymakers need to make sure that the benefits of such technologies are fairly distributed throughout society. She says: "Ensuring social justice in AI development is essential. AI technologies rely on big data and the use of algorithms, which influence decision-making in public life and on matters such as social welfare, public safety and urban planning."

LONDON [10th May 2018] – Inawisdom, announced today that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. Achieving the AWS ML Competency differentiates Inawisdom as an AWS Partner Network (APN) member that has built solutions that help organisations solve their data challenges, enable ML and data science workflows that enhance business applications with machine intelligence. Attaining the AWS ML Competency, demonstrates to our customers that Inawisdom has validated ML expertise and experience on AWS. "We are absolutely delighted to achieve AWS ML Competency status as this recognises the great customer projects that Inawisdom has already completed and the hard work of such a talented team," said Neil Miles, CEO. "The ability to help customers outperform the market by discovering wisdom from their data assets is made possible by leveraging the agility and power of AWS." AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises.

HERNDON, Va.--(BUSINESS WIRE)--47Lining, a REAN Cloud company, announced today that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes 47Lining for its consulting practice focused on helping customers establish real-time, predictive and statistical modeling results for use cases like real-time dashboards, industrial process optimization, customer churn, propensity modeling, content recommendation and fraud detection. Achieving the AWS ML Competency differentiates 47Lining as an AWS Partner Network (APN) member that has built solutions that help organizations solve their data challenges, enable machine learning and data science workflows or offer SaaS/API based capabilities that enhance end applications with machine intelligence. Attaining the AWS ML Competency demonstrates to customers that 47Lining has validated expertise and ML experience on AWS. "Achieving AWS ML Competency status recognizes 47Lining's proven track record of working with customers to enable widespread use of predictive and real-time analytics," said Mick Bass, Senior Vice President of REAN Cloud's Big Data Practice.

WASHINGTON--(BUSINESS WIRE)--The following is an opinion editorial provided by Brian Krzanich, chief executive officer of Intel Corporation. China, India, Japan, France and the European Union are crafting bold plans for artificial intelligence (AI). They see AI as a means to economic growth and social progress. Meanwhile, the U.S. disbanded its AI taskforce in 2016. The U.S. technology sector has long been a driver of global economic growth.

Intel announced today that it is forming a strategic research alliance to take artificial intelligence to the next level. Autonomous systems don't have good enough ways to respond to the uncertainties of the real world, and they don't have a good enough way to understand how the uncertainties of their sensors should factor into the decisions they need to make. According to Intel CTO Mike Mayberry the answer is "probabilistic computing", which he says could be AI's next wave. IEEE Spectrum: What motivated this new research thrust? Mike Mayberry: We're trying to figure out what the next wave of AI is.

About AliveCor AliveCor, Inc. is pioneering the creation of FDA-cleared machine learning techniques to enable proactive heart care and is recognized around the world for transforming cardiac care. The FDA-cleared KardiaMobile is the most clinically validated mobile ECG solution on the market. It is recommended by leading cardiologists and used by people worldwide for accurate ECG recordings. KardiaMobile, and KardiaBand, when paired with the Kardia app provide instant analysis for detecting atrial fibrillation (AF) and normal sinus rhythm in an ECG. Kardia is the first A.I. enabled platform to help clinicians manage patients for the early detection of atrial fibrillation, the most common cardiac arrhythmia and one that leads to a five times greater risk of stroke.