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Ericsson is back to boringly good, but China threats loom

The media thrives on doom-laden tales of carnage and financial catastrophe, as the coronavirus pandemic has amply demonstrated. The fact that a 19th-century company is growing and profitable hardly makes for a gripping story. So the news that Sweden s Ericsson is through its turnaround and has few challengers is about as exciting as a tennis tournament in which the best player returns everything and his top rivals have frailties. Ericsson is starting to look like Björn Borg at Wimbledon. After several years of turmoil and recovery, it is fair to say that Ericsson, led by a man named Börje Ekholm, is back to being boringly good. Sales in its first quarter were flat year-on-year, at 49.8 billion Swedish kronor (US$5.9 billion), but up a tenth on a like-for-like basis. Its operating margin hit 10.6%, up from 8.7% a year earlier. And net income rose 39%, to SEK3.2 billion ($380 billion).

Fast-growing ZTE, free to buy US tech, is a nightmare for Biden

Being answerable to Xi Jinping has not stopped Huawei from protesting it is privately owned, with zero links to the Chinese state, in response to US sanctions. ZTE, the smaller of China s two 5G equipment makers, can table no such defense. Its latest annual report lays bare the grisly details of its parentage. Xi an Microelectronics and Aerospace Guangyu, two of its main shareholders, are themselves government-owned. For any freedom-loving Westerner, ZTE has always looked dodgier and riskier than Huawei ever did. Yet in a peculiar twist, it is Huawei that has become a seemingly permanent fixture on the US Entity List, the blacklist of companies to which US firms are prohibited from selling by the Bureau of Industry and Security (BIS), an adjunct to the US Department of Commerce. ZTE found itself on that list in 2018, when US authorities said it had failed to make amends for past misdemeanors, including the sale of US technology to Iran and North Korea. After paying a second $1 bill

Do researchers have the data to take networking to the next level? -- GCN

By GCN Staff Apr 14, 2021 Computer networks and communications systems are increasingly complex, but traditional model-based approaches are still used to manage networks that now span mobile, edge and cloud computing, distributed systems and network stacks along with both wired and wireless systems. To develop the next generation of high-performance networks, researchers have been relying on machine learning and other data intensive techniques – both of which may require large representative datasets for training and testing the viability of their algorithms and protocols. In an April 14 Federal Register notice, the National Science Foundation asked the research community what kinds of datasets they need to spur advances in computer and network systems. The request for information seeks input related to data collecting and sharing and leveraging public or private datasets. For example, the NSF’s for Advanced Wireless Research program, which has established urban testbeds for

After Brexit and Huawei, UK must weigh big bet on chips

After Brexit and Huawei, UK must weigh big bet on chips
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