Goto

Collaborating Authors

 Telecommunications


Blockchain Potential to Transform Artificial Intelligence

@machinelearnbot

The research on improving Artificial Intelligence (A.I.) has been ongoing for decades. However, it wasn't until recently that developers were finally able to create smart systems that closely resemble the A.I. capabilities of humans. The research on improving Artificial Intelligence (A.I.) has been ongoing for decades. However, it wasn't until recently that developers were finally able to create smart systems that closely resemble the A.I. capabilities of humans. The main reason for this breakthrough in technology is advancements in Big Data.


How new use cases for artificial intelligence are driving demand – with telecoms at the heart of it

#artificialintelligence

There's been a significant increase in enterprise investment on technologies that analyse, organise, access, and provide advisory services that are based on use cases for unstructured data. In fact, worldwide spending on cognitive and artificial intelligence (AI) systems will reach $19.1 billion in 2018 - that's an increase of 54.2 percent over the amount spent in 2017. With industries investing aggressively in projects that utilise cognitive and AI software capabilities, International Data Corporation (IDC) now forecasts cognitive and AI spending will grow to $52.2 billion in 2021 and achieve a compound annual growth rate (CAGR) of 46.2 percent over the 2016-2021 forecast period. "Interest and awareness of AI is at a fever pitch. Every industry and every organisation should be evaluating AI to see how it will affect their business processes and go-to-market efficiencies," said David Schubmehl, research director at IDC. IDC has estimated that by 2019, 40 percent of digital transformation initiatives will use AI services and by 2021, 75 percent of enterprise applications will use AI.


Huawei launches P20 Pro smartphone with triple rear camera

Daily Mail - Science & tech

Huawei has unveiled the world's first triple rear camera system on a smartphone, which will use artificial intelligence (AI) to help users take photos. The Chinese firm said the new £800 ($1,130) P20 Pro uses AI to identify objects and scenes in the camera's view and adjust its settings accordingly. The smartphone can snap photos in near-dark conditions without using its flash or a tripod by taking exposures lasting up to six seconds to get enough light. Its AI system adjusts the camera's settings to avoid the blurring and smearing that often plagues photographers employing this technique handheld. The P20 Pro is the flagship device among three new phones the company announced at an event in Paris, where the P20 and P20 Lite were also introduced.


Huawei P20 Pro Officially Revealed With Triple Cameras On Its Back

International Business Times

Although both share a lot of the same features, like a display notch, the Huawei P20 stands out with the inclusion of a triple-camera setup on its back. The Huawei P20 features a 5.9-inch LCD display, while the P20 Pro comes with a slightly bigger 6.3-inch OLED display. Both have the same screen resolution of 2,240 x 1,080 and a tall aspect ratio of 18.7:9. Since Apple popularized the notch with the iPhone X, Huawei is following suit by putting smaller notches on both the P20 and P20 Pro. The difference here however is that users can "remove" the notch through software.


Huawei P20 Pro smartphone 'can see in the dark'

BBC News

Huawei's latest smartphone can take photos in near-dark conditions without using its flash or a tripod. The P20 Pro takes exposures lasting up to six seconds to get enough light. It then uses artificial intelligence to deliver sharp images and avoid the blurring and smearing normally associated with employing this technique handheld. The Chinese company recently told the BBC it could soon become the world's bestselling smartphone brand. At present, it is in third place behind Samsung and Apple, with US telecom networks' refusal to sell its handsets proving an obstacle.


Huawei P20 Pro hands-on: Camera tricks and a supercar finish

Engadget

Huawei may be best known for US retailers not stocking its wares, but regardless, the company continues to ramp up its flagship smartphones. In the past few years, phones like the P9 made a lot of us stand up and take notice, thanks to classy design touches and Huawei's own imaging tricks. Its next phones, the P20 and P20 Pro, take that latter part even further as the company tries to spar with Samsung and the rest with a tapestry of AI skills and so very many camera sensors. There's so much going on when it comes to imaging (both in terms of hardware and software) that, at least during my short time with both phones, I couldn't test out all the modes and use cases. I'll say this, though: Huawei is taking its smartphone cameras very seriously.


Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement

arXiv.org Machine Learning

We propose a method to improve the radio link performance in a wireless network using a deep Q-Learning based algorithm. In this paper, we use this reinforcement learning model to allow the wireless network cluster to self-heal by performing certain fault management actions which improves the radio link performance of this wireless network. The main contributions of this paper are: 1) introduce a radio performance tuning algorithm that self-organizing networks can implement in a polynomial runtime, 2) employ deep reinforcement learning to perform fault management, and 3) show that this fault management method can improve the radio link performance in a realistic network setup. Simulation results show that an optimal action sequence to clear alarms is feasible even against the randomness of the network faults and user movements.


Employers face hiring crisis as AI replaces mid-skilled jobs

#artificialintelligence

Employers will face a crisis hiring and developing skilled staff as artificial intelligence (AI) begins to shake up the structure of the workforce. Every conference this year contains a dead human genius reincarnated as software system or a robot. Yes, there is a lot of hype, but there is real worth in AI and Machine Learning. Read our counseling on how to avoid adopting "black box" approach. You forgot to provide an Email Address.


Mobile Processors of 2018: The Rise of Machine Learning Features

#artificialintelligence

Not surprisingly, this year's smartphones feature faster processors than those from last year--that happens every year. But what is new this year is the predominance of machine learning features that just about every processor vendor is touting as a way of differentiating their devices. This is true for the phone vendors who design their own chips, the independent or merchant chip vendors who sell processors to phone vendors, and even the IP makers who design the cores that go into the processors themselves. First a little background: all modern application processors include designs (often referred to as intellectual property, or IP) from other companies, notably firms like ARM, Imagination Technologies, MIPS, and Ceva. Such IP can appear in various forms--for example, ARM sells everything from a basic license for its 32-bit and 64-bit architecture, to specific cores for CPUs, graphics, image processing, etc., that chip designers can then use to create processors.


Cloud computing is the foundation of tomorrow's intelligent world

#artificialintelligence

Last week, telecommunications experts gathered in Barcelona for Mobile World Congress, the industry's premier event and a chance for tech companies to show off their latest innovations in areas as diverse as 5G technology, artificial intelligence, and the cloud. Although the cloud is far from a new idea, its true capabilities are only now beginning to be realized. Here are four ways in which the cloud will shape our lives over the next decade and beyond. Cloud will provide the digital infrastructure of tomorrow's cities, where an estimated 6 billion of the world's population will live by 2045. Smart elevators and parking lots, driverless cars and drone taxis, trains and subways, farms and power plants – all will be safer and better managed, thanks to the cloud's ability to store and analyze data.