Wednesday, February 26, 2020

Drones and AI robots used to fight coronavirus in China

China is deploying robots and drones to remotely disinfect hospitals, deliver food and enforce quarantine restrictions as part of the effort to fight coronavirus.
Chinese state media has reported that drones and robots are being used by the government to cut the risk of person-to-person transmission of the disease.
There are 780 million people that are on some form of residential lockdown in China. Wuhan, the city where the viral outbreak began, has been sealed off from the outside world for weeks.
The global death toll from coronavirus topped 2,100 people this week, with over 74,000 infected.
Drones used to enforce quarantine
Global Times reported on viral videos showing drones with loudspeakers directing individuals in rural areas to go back inside. Officials are allegedly using the technology to supervise and give orders remotely to civilians.
There have also been reports of drones using thermal imaging to detect people with fevers from the air.
Drones have joined fight against novel (COVID-19) in China. Equipped with thermal imaging technology, they can detect those with a fever up in the air. Check out drone patrol in central China's Hunan
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These viral videos could "absolutely be real" said drone expert Andy Miah, author of Drones: The Brilliant, the Bad and the Beautiful.
"I think they're an incredibly appealing tool for the law enforcement industry," Miah told Dezeen. "The drone gives the police force a capacity to roam and be present in a way that no other means of movement have allowed in the past."
Remote-controlled tanks disinfect streets
Unmanned vehicles, both arial and terrestrial, have allowed the Chinese government to reduce the number of people put at risk of catching the virus.
Miniature, remote-controlled tanks have been seen on on the streets of Taiyuan in northern China. Directed by staff wearing hazmat suits, the tanks made by Shanxi Tianyi Technology can reportedly disinfect 50,000 square metres in an hour.
"We began using them for disinfection and disease-prevention in Taiyuan on 4 February," deputy secretary-general of the Shanxi Province Unmanned Vehicle Association Hou Yongei told AsiaWire.
"Twice a day, we send them into gated communities where there have been confirmed cases."
Drones deliver light and food
Drones have allegedly been used to hover over the construction sites for two emergency hospitals being built in Wuhan and provide light and construction staff worked through the night. One hospital was built in just nine days.
According to Reuters, a robot called Little Peanut has been used to deliver food to occupants of a hotel in Hangzhou where over 300 quarantined passengers of an infected flight are staying.
Amid a novel outbreak, robots are deployed to deliver meals to travelers in isolation at a hotel in Hangzhou, China.
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"What we've seen over the last five years, is a growing deployment of drones in circumstances where we'd rather humans were not put at risk," said Miah.
"While it makes a lot of sense, the kind of future that this presents us with is one where we use robots instead of humans in a whole range of circumstances, from military conflict to civilian policing," he added.
"For some, this is a dystopian nightmare, but if you're one of the service staff who are placed in harm's way, or, even more so, the person responsible for putting them there, then it's much more appealing to use a robot or a drone."
Self-driving disinfection robots for hospitals
On February 19 2020 it was announced that Danish-designed self-driving UV Disinfection Robots are being shipped to China for use in hospitals.
These devices, from UVD Robots, emit concentrated UV-C light from a column of bulbs on top of a wheeled base. The light has a germicidal effect, allowing it to kill airborne viruses and bacteria on surfaces.
Drones and self-driving robots used to fight Coronavirus in China
A self-driving device made by UVD Robots is being used to disinfect hospital rooms
Using an app, cleaning staff can direct the robot to take enter rooms and disinfect them in just 10 minutes. Sunay Healthcare Supply now has exclusive rights to distribute the UV Disinfection Robot in China.
"More than 2,000 hospitals will now have the opportunity to ensure effective disinfection, protecting both their patients and staff," said CEO of Sunay Healthcare Supply Su Yan.
Drone deliveries to coronavirus-hit areas
Quarantine restrictions have impacted normal supply routes along road, rail or water. Tech company Antwork used a drone to transport medical supplies and patient samples from the People's Hospital of Xinchang County and a local disease centre.
Antwork's parent company Terra Drone said that using drones was 50 per cent faster than roads and helped cut the risk of spreading the disease.
"With more and more medical staff and ambulance being transferred to the front line, in the case of extreme personnel shortage, the use of drone transportation can also save human and material resources," said Terra Drone.

New Trends in Technoglogy 2020

 Trend 1: Breakout moment of artificial intelligence (AI) in manufacturing

AI is now part of everyday life, driven by the emergence of a device ecosystem including Alexa, Siri, and Google Assistant. In 2020, emotion recognition and computer vision will scale and AI will have a breakout moment in manufacturing.
U.S. startups Vicarious, Kindred, and Osaro stand out in using AI technologies for manufacturing. Kindred’s technology is used to automate part of distribution for apparel brands such as GAP. Vicarious is attracting investment from Mark Zuckerberg, Jeff Bezos, and Elon Musk.

Trend 2: Practical deployment of Internet of Things (IoT)

IoT is hot but there are not as many mainstream applications today as some predicted. We anticipate that with 5G, the number of connected devices and mainstream IoT applications will reach scale.
Amazon recently launched Amazon Go, a system that uses IoT and machine vision technologies to enable consumers to shop without manual check out. Environments will use more sensors and vision technologies, enabling more scalable IoT solutions. Startups Standard Cognition (U.S.), Accel Robotics (U.S.), Trigo (Israel), Grabango (U.S.), and AiFi (U.S.) provide similar services as Amazon Go.

Trend 3: Increased demand for edge computing processing power

2020 will see the need for higher performance from edge computing hardware since better sensors and larger AI models now enable a host of new applications. There is a growing need to infer more data and then make decisions without sending data to the cloud.
Chip startups SambaNova (U.S.), Graphcore (U.K.), Cerebras (U.S.), Wave Computing (U.S.), and Syntiant (U.S.) have developed architectures to handle increased demand. High-performing AI chips, known as neuromorphic or brain chips, mimic the structure of ​​the brain and process top AI algorithms.

Trend 4: Commercialization of quantum computing usage in mass scale

We expect 2020 to begin the quantum computing era. As data increases, quantum computing will target the biggest problems in industry, such as health care and energy. In 2020, the ability to handle big data will be required for cancer treatment, nuclear energy control, and DNA analysis. Corporations IBM, Google, Intel, Microsoft, and Alibaba have moved into quantum computing.
Startups Rigetti (U.S.), D-Wave Systems (Canada), and QC Ware (U.S.) are disrupting quantum computing. The technology will grow as it becomes easier to use with platforms such as Amazon Web Services by mid-2020.

Trend 5: Evolution of aerospace technologies

Mankind will begin its return to space in 2020, largely driven by the private sector. Since the Cold War, technological advances have slowed. Notable companies now making aerospace advancements include SpaceX and Blue Origin.
SpaceX is developing the rocket Starship, which will reuse the entire vehicle body. Starship may shorten intercontinental trips to 20-30 minutes via space. In China, the government and private enterprises (example: LinkSpace) are making progress in space.

Trend 6: New era of the internet — deployment of 5G and Starlink broadband internet technology

5G competition between the U.S. and China is entering the main stage in 2020. There will be a new competition about who can propel 5G faster into mass consumer use. Another hot topic is the Starlink Broadband business planned by SpaceX.
Until 2020, as many as 2,500 satellites will be launched. This marks a new era of broadband Internet for some users in North America. Starlink’s broadband Internet system will grow with 12,000 satellites through 2023, followed by the addition of 30,000 satellites. SpaceX will provide higher speed Internet starting in 2020.

Trend 7: Evolution of health care — predictions at the genome level

Under the theme of prevention, digital health care has seen much innovation. In the U.S., startups 23andMe and Color lead in genome analysis, while Genesis Healthcare stands out in Japan and Genoplan in Korea. These companies use genomic analysis to learn of diseases and provide prevention methods.
The evolution of AI will improve the quality of treatment. In 2020, many medical images taken using MRI, CT scans, and X-rays will be diagnosed using AI. Startups Enlitic and Zebra Medical Vision stand out as leaders.

Trend 8: Evolution in Agriculture – technology to Grow Crops Efficiently

In agriculture, companies that offer products using computer vision, AI, and big data stand out. In 2020, it will become common to monitor crop growth by computer vision Ceres Imaging (U.S.), Taranis (Israel), Farmwise (U.S.).
Robots, such as those by Abundant Robotics, that harvest plants and fruits will become more common. The technology for improving crop growth efficiency will also be enhanced by indoor farming companies, such as Bowery Farming (U.S.), funded by GV.

Trend 9: Evolution of autonomous driving technology

Autonomous driving is already a hot topic, although level 5 (fully autonomous) has not been realized. Some Tesla cars can be switched to autopilot mode on the highway, but this is only possible up to level 2 (driving support) or level 3 (operated by the driver in an emergency).
Technology for understanding detailed road conditions by AI is evolving. Startups Prophesee (France), Perceptive Automata (U.S.), and Humanising Autonomy (U.K.) stand out as leaders. They will contribute towards achieving level 5 in 2020.

Trend 10: The U.S. and China put blockchain to practical use

As blockchain grows, payment-type venture companies and venture companies in security — such as Chainalysis, which develops money laundering countermeasure technology — are attracting attention.
In 2020, major institutions will introduce blockchain to prevent large-scale information leakage and Internet fraud. IBM set up an accelerator program specializing in blockchain. China approved the introduction of blockchain in services such as ICBC (China Industrial and Commercial Bank), Alibaba Group, China Southern Airlines, etc. In 2020, blockchain will be put to practical use.

Friday, May 31, 2019

8 Top Technology Trends for 2019

Technology is now evolving at such a rapid pace that annual predictions of trends can seem out-of-date before they even go live as a published blog post or article. As technology evolves, it enables even faster change and progress, causing the acceleration of the rate of change, until eventually it will become exponential.

Here are eight technology trends you should watch for in 2019, and some of the jobs that will be created by these trends
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1. Artificial Intelligence (AI)

Artificial Intelligence, or AI, has already received a lot of buzz in recent years, but it continues to be a trend to watch because its effects on how we live, work and play are only in the early stages. In addition, other branches of AI have developed, including Machine Learning, which we will go into below. AI refers to computers systems built to mimic human intelligence and perform tasks such as recognition of images, speech or patterns and decision making. AI can do these tasks faster and more accurately than humans.
AI has been around since 1956 is already widely used. In fact, five out of six Americans use AI services in one form or another every day, including navigation apps, streaming services, smartphone personal assistants, ride-sharing apps, home personal assistants, and smart home devices. In addition to consumer use, AI is used to schedule trains, assess business risk, predict maintenance, and improve energy efficiency, among many other money-saving tasks.
AI is one part of what we refer to broadly as automation, and automation is a hot topic because of potential job loss. Experts say automation will eliminate 73 million more jobs by 2030. However, automation is creating jobs as well as eliminating them, especially in the field of AI: Pundits predict that jobs in AI will number 23 million by 2020. Jobs will be created in development, programming, testing, support and maintenance, to name a few. Artificial Intelligence architect is one such job. Some say it will soon rival data scientist in need for skilled professionals.
To learn more about potential jobs in AI, read about building a career in AI or why you should earn an AI certification.

2. Machine Learning

Machine Learning is a subset of AI. With Machine Learning, computers are programmed to learn to do something they are not programmed to do: They literally learn by discovering patterns and insights from data. In general, we have two types of learning, supervised and unsupervised.
While Machine Learning is a subset of AI, we also have subsets within the domain of Machine Learning, including neural networks, natural language processing (NLP), and deep learning. Each of these subsets offers an opportunity for specializing in a career field that will only grow.
Machine Learning is rapidly being deployed in all kinds of industries, creating a huge demand for skilled professionals. The Machine Learning market is expected to grow to $8.81 billion by 2022. Machine Learning applications are used for data analytics, data mining and pattern recognition. On the consumer end, Machine Learning powers web search results, real-time ads and network intrusion detection, to name only a few of the many tasks it can do.
In addition to completing countless tasks on our behalf, it is generating jobs. Machine Learning jobs rank among the top emerging jobs on LinkedIn, with almost 2,000 job listings posted. And these jobs pay well: In 2017, the median salary for a machine learning engineer was $106,225. Machine Learning jobs include engineers, developers, researchers, and data scientists.

3. Robotic Process Automation or RPA

Like AI and Machine Learning, Robotic Process Automation, or RPA, is another technology that is automating jobs. RPA is the use of software to automate business processes such as interpreting applications, processing transactions, dealing with data, and even replying to emails. RPA automates repetitive tasks that people used to do. These are not just the menial tasks of a low-paid worker: up to 45 percent of the activities we do can be automated, including the work of financial managers, doctors and CEOs.
Although Forrester Research estimates RPA automation will threaten the livelihood of 230 million or more knowledge workers or approximately 9 percent of the global workforce, RPA is also creating new jobs while altering existing jobs. McKinsey finds that less than 5 percent of occupations can be totally automated, but about 60 percent can be partially automated.
For you as the IT professional looking to the future and trying to understand technology trends, RPA offers plenty of career opportunities, including developer, project manager, business analyst, solution architect, and consultant. And these jobs pay well. SimplyHired.com says the average RPA salary is $73,861, but that is the average compiled from salaries for junior-level developers up to senior solution architects, with the top 10 percent earning over $141,000 annually.
If you’re interested in pursuing a career in RPA, the Introduction to Robotic Process Automation (RPA) course is the place to start.

4. Blockchain

Although most people think of blockchain technology in relation to cryptocurrencies such as Bitcoin, blockchain offers security that is useful in many other ways. In the simplest of terms, blockchain can be described as data you can only add to, not take away from or change. Hence the term “chain” because you’re making a chain of data. Not being able to change the previous blocks is what makes it so secure. In addition, blockchains are consensus-driven, as explained in this Forbes article, so no one entity can take control of the data. With blockchain, you don’t need a trusted third-party to oversee or validate transactions.
This heightened security is why blockchain is used for cryptocurrency, and why it can play a significant role in protecting information such as personal medical data. Blockchain could be used to drastically improve the global supply chain, as described here, as well as protect assets such as art and real estate.
And as the use of blockchain technology increases, so too does the demand for skilled professionals. In that regard, we are already behind. According to Techcrunch, blockchain-related jobs are the second-fastest growing category of jobs, with 14 job openings for every one blockchain developer. A blockchain developer specializes in developing and implementing architecture and solutions using blockchain technology. The average yearly salary of a blockchain developer is $130,000.
The job of a developer is not the only one available in the blockchain space, however. Employers are also looking for software engineers, consultants and project managers. Jobs are available at financial institutions, but also in retail and healthcare, and soon probably manufacturing as well.
Learn more about becoming a blockchain developer.

5. Edge Computing

Formerly a technology trend to watch, cloud computing has become mainstream, with major players AWS (Amazon Web Services), Microsoft Azure and Google Cloud dominating the market. The adoption of cloud computing is still growing, as more and more businesses migrate to a cloud solution. But it’s no longer the emerging technology. Edge is. Move over, cloud computing, and make way for the edge.
As the quantity of data we’re dealing with continues to increase, we’ve realized the shortcomings of cloud computing in some situations. Edge computing is designed to help solve some of those problems as a way to bypass the latency caused by cloud computing and getting data to a data center for processing. It can exist “on the edge,” if you will, closer to where computing needs to happen. For this reason, edge computing can be used to process time-sensitive data in remote locations with limited or no connectivity to a centralized location. In those situations, edge computing can act like mini datacenters. Edge computing will increase as use the Internet of Things (IoT) devices increases. By 2022, the global edge computing market is expected to reach $6.72 billion.
As with any growing market, this will create job demand, primarily for software engineers.
Read more about edge computing vs. cloud computing.

6. Virtual Reality and Augmented Reality

Virtual Reality (VR) immerses the user in an environment while Augment Reality (AR) enhances their environment. Although VR has primarily been used for gaming thus far, it has also been used for training, as with VirtualShip, a simulation software used to train U.S. Navy, Army and Coast Guard ship captains. The popular Pokemon Go is an example of AR.
Both have enormous potential in training, entertainment, education, marketing, and even rehabilitation after an injury. Either could be used to train doctors to do surgery, offer museum-goers a deeper experience, enhance theme parks, or even enhance marketing, as with this Pepsi Max bus shelter.
According to an article at Monster.com, the demand for job candidates with VR knowledge is up 37 percent, but the potential employees are in short supply. That demand will only increase. There are major players in the VR market, like Google, Samsung, and Oculus, but plenty of startups are forming and they will be hiring—or trying to, in light of the shortage. Getting started in VR doesn’t require a lot of specialized knowledge. Basic programming skills and a forward-thinking mindset can land a job, although other employers will be looking for optics as a skill-set and hardware engineers as well.

7. Cyber Security

Cyber security might not seem like emerging technology, given that it has been around for a while, but it is evolving just as other technologies are. That’s in part because threats are constantly new. The malevolent hackers who are trying to illegally access data are not going to give up any time soon, and they will continue to find ways to get through even the toughest security measures. It’s also in part because new technology is being adapted to enhance security. Three of those advancements are hardware authentication, cloud technology, and deep learning, according to one expert. Another adds data loss prevention and behavioral analytics to the list. As long as we have hackers, we will have cyber security as an emerging technology because it will constantly evolve to defend against those hackers.
As proof of the strong need for cybersecurity professionals, the number of cybersecurity jobs is growing three times faster than other tech jobs. However, we’re falling short when it comes to filling those jobs. As a result, it’s predicted that we will have 3.5 million unfilled cybersecurity jobs by 2021.
Many cyber security jobs pay six-figure incomes, and roles can range from ethical hacker to security engineer to Chief Security Officer, offering a promising career path for someone who wants to get into and stick with this domain.

8. Internet of Things

Although it sounds like a game you’d play on your smartphone, the Internet of Things (IoT) is the future. Many “things” are now being built with WiFi connectivity, meaning they can be connected to the Internet—and to each other. Hence, the Internet of Things, or IoT. IoT enables devices, home appliances, cars and much more to be connected to and exchange data over the Internet. And we’re only in the beginning stages of IoT: The number of IoT devices reached 8.4 billion in 2017 is and expected to reach 30 billion devices by 2020.
As consumers, we’re already using and benefitting from IoT. We can lock our doors remotely if we forget to when we leave for work and preheat our ovens on our way home from work, all while tracking our fitness on our Fitbits and hailing a ride with Lyft. But businesses also have much to gain now and in the near future. The IoT can enable better safety, efficiency and decision making for businesses as data is collected and analyzed. It can enable predictive maintenance, speed up medical care, improve customer service, and offer benefits we haven’t even imagined yet. However, despite this boon in the development and adoption of IoT, experts say not enough IT professionals are getting trained for IoT jobs. An article at ITProToday.com says we’ll need 200,000 more IT workers that aren’t yet in the pipeline, and that a survey of engineers found 25.7 percent believe inadequate skill levels to be the industry’s biggest obstacle to growth.
For someone interested in a career in IoT, that means easy entry into the field if you’re motivated, with a range of options for getting started. Skills needed include IoT security, cloud computing knowledge, data analytics, automation, understanding of embedded systems, device knowledge, to name only a few. After all, it’s the Internet of Things, and those things are many and varied, meaning the skills needed are as well.
Although technologies are emerging and evolving all around us, these eight domains offer promising career potential now and for the foreseeable future. And all eight are suffering from a shortage of skilled workers, meaning the time is right for you to choose one, get trained, and get on board at the early stages of the technology, positioning you for success now and in the future.

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