It is estimated that sales of products or services involving “weights and measures” in the United States represent approximately 50% of the U.S. gross domestic product. While you may not think about it very often, weights and measures touch our lives every day.
Every time you fill up at the pump or go grocery shopping, and you’re buying goods and services priced, advertised and sold based on some quantity, be it gallons, liters, kilowatt-hours, kilograms, pounds or even time, a measurement is involved.
Boeing FARA is an agile, fully integrated, purpose-built system designed to meet the Army’s current mission needs while evolving as technologies and missions change.
The design – a low-risk, affordable solution validated through extensive testing and analysis – has a thrust compounded single-main rotor boasting a six-bladed rotor system, a single engine, tandem seating and a modular, state-of-the-art cockpit with a reconfigurable large area display and autonomous capabilities. The system will provide seamless integration within the Army ecosystem and a maintenance-friendly design for long-term sustainability.
Bloomberg has released the 2020 edition of its yearly “Innovation Index,” ranking the world’s 60 most innovative economies worldwide, and the United States has dropped to 9th place overall.
Though it occupied the no. 9 spot, the U.S. actually ranks first in both patent activity and high-tech density. This shouldn’t come as a big surprise given that the Big Five tech companies – Apple, Microsoft, Alphabet (parent company of Google), Facebook, and Amazon – all call the US home.
The country has the highest overall density of tech companies in the world.
Despite the Mobile World Congress cancellation, the pursuit of 5G grows fiercer by the hour, especially among electronics players who are hitting silicon performance limits for 5G RF front-end modules.
Among the candidate materials to supplant silicon are compound materials such as gallium nitride (GaN), gallium arsenide (GaAs), and silicon carbide (SiC), along with piezoelectrics, which are being used to improve filters. GaAs has been used for power amplifiers in 4G and 5G handsets. GaN has begun gaining traction for power amplifiers in 5G mmWave markets.
Nokia has brought in chipmaker Marvell to help resolve 5G product problems that have wiped billions off the Finnish vendor’s market value and threatened its ability to compete in the 5G market.
The US chipmaker, which made nearly $3 billion in revenues last year, has been hired to work on Nokia’s new range of system-on-a-chip and infrastructure processors, under the ReefShark brand. It will specifically contribute customized chips based on processor designs by ARM, a UK-based company whose licensees compete against Intel in semiconductor markets.
The chipsets that come out of the partnership will go into several parts of Nokia’s Airscale-branded radio access technology. Nokia is hoping for a reduction in size and power consumption, as well as improvements in capacity and overall performance.
President Trump is expected to sign legislation this week that would allocate up to $1 billion to rip Huawei’s equipment out of rural US networks and replace it with products from “trusted” suppliers.
And vendors ranging from Nokia to Ericsson to Mavenir to COMSovereign are falling over themselves to convince regulators that they’re the “trusted” vendor that can handle the job – and get all that cash.
Plowing ahead with a strategy to strengthen ties with the telecom sector, Google Cloud said it has struck a 5G-facing edge computing deal with AT&T, introduced a telco-focused version of its Anthos app platform, and struck up partnerships with two OSS/BSS leaders – Amdocs and Netcracker.
All of that ties into a new Global Mobile Edge Cloud (GMEC) strategy underway at Google Cloud and its initiative to work more closely with telecom operators.
“This is a real step to help telecom companies modernize their infrastructure and their services,” said Shailesh Shukla, GM and VP of networking at Google Cloud.
Artificial intelligence (AI) has existed in the public consciousness for decades. The (mostly) sentient machines playing the villains in Hollywood movies have never been realistic depictions of the technology, but they have left an impression, nonetheless. AI has proved as exciting to the layman as it is to the expert.
Usually based in remote data centers, AI is capable of collecting and examining immense volumes of data, generating insights based on analytical algorithms. With varying degrees of autonomy, these capabilities have been put to use streamlining decision-making processes.
French machine learning company Cartesiam has unveiled its integrated development environment (IDE), NanoEdge AI Studio, that creates machine learning libraries for use on Arm Cortex-M series devices.
Machine learning algorithms can be trained in the field before the model is created and used for inference – all done directly on the microcontroller. The idea is to allow developers without AI or machine learning experience or data science expertise to create predictive maintenance applications in the endpoint in a matter of hours.