Blockchain has already improved companies’ ability to track the movement of goods. But what if we use it to track how people experience work? That could unlock an entirely different perspective on global supply chain dynamics. It’s now easy to envision a more efficient future in logistics through emerging decentralized technologies that help improve procurement practices and enable businesses to increase transparency about where products were manufactured, how they were delivered and under what conditions.
Allison Price is a senior adviser to the Digital Impact and Governance Initiative at New America. This op-ed is part of CoinDesk’s “Policy Week,” a forum for discussing how regulators are reckoning with crypto (and vice versa).
There are potential upsides for businesses, workers and consumers. But it’s equally important to also weigh the challenges and potential impacts. A healthy balance must be struck between the creative dreamers envisioning a beautiful decentralized future and the question-asking pragmatists who are responsible for effectuating it safely. Thoughtful, inclusive debate is the key to forging a more equitable future supported by technology companies, governments and communities designing together.
Continue reading: https://www.nasdaq.com/articles/how-to-expand-blockchain-beyond-fintech-and-into-factories-2021-10-24

Artificial intelligence and machine learning, these two names are changing business practices and workplaces tremendously. Artificial intelligence can help business applications in many ways, like with AI businesses can understand their customers better with deeper insights. But here we will talk about how artificial intelligence is transforming the hiring process.
We are all aware of the inefficiencies in the hiring process, with the help of artificial intelligence and automation, we can reduce these inefficiencies to a great extent, and apply the candidate first approach. With the help of AI, recruiters can find candidates who are matching the job description such as job roles, hard skills, soft skills, academics, experience, salary, industry, personality, etc. The Al Algorithm in the hiring process will help businesses in making hiring decisions – fast & better.
Benefits of AI and how it’s transforming the hiring process
Currently what is happening with recruiters and applicants is that they both have to go through all the irrelevant profiles and jobs to find the perfect job or the perfect applicant. Here artificial intelligence can set a job search preference with relevant job descriptions, and a matching algorithm can be used by the recruiter or the applicant so that they both can consider hard skills, soft skills, job roles, industry, education, experience, city, and many other factors.
Continue reading: https://timesofindia.indiatimes.com/blogs/voices/how-artificial-intelligence-is-transforming-the-hiring-process/

Artificial intelligence (AI) in retail is one of the more prevalent examples of how this technology can truly transform an entire industry. 
Retailers are using AI and technology like machine learning (ML) to power decisions about inventory and the customer sales journey and behind-the-scenes tasks that impact profit margins and efficiency. From better virtual retailer recommendations to theft prevention in physical stores, retail is an industry that has fully embraced the promises of AI. 
Retail as a field is notoriously competitive, and AI can give companies an edge when it comes to responding to customer desires and reducing inefficiency. Often, AI in retail focuses on data retailers already own but haven’t fully explored. Making sense of massive stores of data is a virtually impossible task human workers, but AI can autonomously apply data insights for better predictions and recommendations. 
Here, we examine some ways AI is being applied throughout the retail sector:
Continue reading: https://www.datamation.com/artificial-intelligence/artificial-intelligence-in-retail/

Artificial intelligence is a branch of computer science that deals with making intelligent machines and computer programs. It is a broad branch that includes machine learning and deep learning. John McCarthy, a professor emeritus at Stanford University, coined the term artificial intelligence in 1956.
The applications of artificial intelligence include voice assistants like Alexa, Siri, and Google Assistant. It is also applied to deep learning models like Luther AI.
McCarthy defined artificial intelligence as “the science and engineering of making intelligent machines, brilliant computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to biologically observable methods.”
Later on, Stewart Russell and Peter Norvig differentiated AI based on the human and ideal approach. In the human approach, you get systems that think and act like humans. The ideal approach has systems that think and act rationally.
Continue reading: https://fossbytes.com/what-is-artificial-intelligence-and-its-types/

When we usually hear about Artificial intelligence, we don’t take it so seriously as it’s easy for us to assume that Artificial intelligence doesn’t play with us and it has nothing to do with it. Most people think that only big tech giants’ lives are getting affected by Artificial Intelligence and our lives are not getting affected by Artificial intelligence while in reality, from morning until night, many people encounter Artificial intelligence but we don’t bother.
In the past when people used to do stuff to make things more convenient, our ancestors used to call those phenomena supernatural powers or magic, and now we named its technology. The magic tricks are exchanged by complicated algorithms that do the magic. Artificial intelligence is and has been easing our lives for so long now and it’s just that people are not aware of it. It impacts every aspect of our lives.
Artificial intelligence is no longer the fruit of the imagination of science fiction authors; with the new technologies coming up every day, it’s now preparing to subtly or less subtly intrude into our daily lives. Artificial intelligence is helping out many businesses grow. If you are doing a business, RCN Business can help your business get the most out of artificial intelligence and machine learning solutions today by offering high-class internet services. Reach out to RCN customer service to find out how you can do that.
Continue reading: https://www.siaonline.org/how-ai-is-easing-our-daily-lives/

VCs have a detailed playbook for investing in software-as-a-service (SaaS) companies that has served them well in recent years. Successful SaaS businesses provide predictable, recurring revenue that can be grown by acquiring more subscriptions at little additional cost, making them an attractive investment.
But the lessons that VCs have learned from their SaaS investments turn out not to be applicable to the world of artificial intelligence. AI companies follow a very different trajectory from SaaS providers, and the old rules simply aren’t valid.
Here are four things VCs get wrong about AI because of their past success investing in SaaS:
1. ARR growth is not the best indicator of long-term success in AI
Venture capitalists continue to pour money into AI companies at an astonishing — some might say ridiculous — rate. Databricks has raised a staggering $3.5 billion in funding, including a $1 billion Series G in February, followed six months later by a $1.6 billion Series H in August at a $38 billion valuation. DataRobot recently announced a $300 million Series G financing round, bringing its valuation to $6.3 billion.
While the private market is crazy for AI, the public market is showing signs of more rational behavior. Publicly traded C3.ai has lost 70% of its value relative to all-time high that it notched immediately after its IPO in December 2020. In early September 2021, the company released fiscal Q1 results, which were a cause for further disappointment in the stock that caused a further dip of nearly 10%.
Continue reading: https://venturebeat.com/2021/10/24/4-things-vcs-get-wrong-about-ai/

Out of all the industries that stand to benefit from artificial intelligence (AI), health care is arguably the most universally crucial and relevant.
The recent accelerated COVID-10 vaccine development efforts are just a few examples of how AI-driven medical innovations can be critical to everyone’s well-being.
That said, drug discovery is just one of the many health care/medical fields and specialties that AI has transformed.
AI In Health Care Today
The market size for health care AI and cognitive computing reached $6.7 billion in 2021, at a compound annual growth rate of 40 percent, compared to $811 million back in 2015, according to a recent Frost & Sullivan report.
Some areas of heightened growth include AI applications in medical imaging diagnosis, AI-based solutions for optimizing hospital workflows and enhancing care delivery as well as use cases for reducing patient treatment times, complexity, and costs.
Continue reading: https://www.datamation.com/artificial-intelligence/artificial-intelligence-in-health-care/

The domain of finance has long been highly active in artificial intelligence (AI) research and implementation.
In fact, the financial sector was already involved in developing innovations around Bayesian statistics, a staple of machine learning, as early as the 1960s. These seminal use cases were based around monitoring stock markets and making predictions for investors. Today, this legacy continues with AI-powered robo-advisers designed to give automated, algorithm-based financial planning services with minimal to no human assistance.
Modern finance has since diversified its AI use, including the streamlining of internal business processes and improvement of the overall customer experience. Both finance pros and customers are likely to have AI encounters on a regular basis, since most routine service-related issues are handled/resolved using some degree of AI-powered automation. This trend is likely to accelerate in order to meet rising customer demands for faster, more convenient, and secure financial experiences.
AI In Finance Today
AI in fintech had a market value of $7.91 billion in 2020 in 2020 and is expected to reach $26.67 billion by 2026, at a compound annual growth rate (CAGR) of 23.17%, according to Mordor Intelligence.
The anticipated growth is fueled by continuing advances in automated trading technologies and algorithms as well as relatively newer applications for smarter fraud prevention, more effective risk management, faster customer support, such as chatbots and through agent call routing, and tighter ongoing compliance with finance industry regulations. 
Continue reading: https://www.datamation.com/artificial-intelligence/artificial-intelligence-in-finance/

Artificial intelligence (AI) in marketing has been in heavy use for some time. But the sophistication of the systems has steadily improved — and promises to make a giant leap in the immediate future. 
Images of the Spielberg-Cruise movie “Minority Report” come to mind. As the lead character walks through the mall, AI bots recognize him, greet him by name, and suggest products in real-time specific to his profile — all based on a retinal scan taken an instant before. It takes AI to be able to respond intelligently at that pace. 
The technology is not quite there yet. But retailers and related startups and IT firms are pouring billions into this area to enhance results and increase responsiveness. 
AI Marketing Use Cases

• In direct marketing to sift through mountains of data and provide product recommendations 
• To analyze online behavior against customer databases and other material to determine which kind of ads to serve someone and on what channels 
• In social media, to provide a sentiment analysis of how well or poorly an organization is regarded in general as well as in specific areas or with regard to a current issue. 
• In supply chain organization to ensure the company can supply the right amount of product to satisfy predicted demand or respond to a sudden surge or decline in demand. 
• To analyze suppliers to determine their capabilities, any risk associated with them, and any adjustments that need to be made in the supply chain

Continue reading: https://www.datamation.com/artificial-intelligence/artificial-intelligence-in-marketing/

The use of artificial intelligence (AI) has led to a variety of positive outcomes in human resources (HR) departments.
AI helps HR professionals stay on top of trends, understand employee sentiment, streamline the acquisition of talent, and detect indications of career disgruntlement or imminent departure. 
The Need For AI In HR  

1. Fewer HR personnel are being asked to cover a larger number of employees.
2. Workforces have become increasingly dispersed and no longer right under the watchful eye of HR. 
3. There are many disparate systems offering data and potential inputs with regard to employee behaviors. It takes AI to pull these all together and provide sensible insight in a timely manner. 
   [/LIST=1]
   AI HR Use Cases 
   The use cases for AI-based HR include: 
   • Background checks: AI can improve the speed and accuracy of background checks. It can note red flags on resumes and spot indications of falsehood that might otherwise be missed. 
   • Detection of anomalies: With so many working from home, AI can look beyond simple indicators of who is logged in and who is not. It can spot regular work patterns and anomalies that may mean someone is avoiding work or trying to escape detection. 
   • Switch from generic to personalized communication: Traditional HR bulletins to all personnel can be transformed via AI. Perhaps the bulletin only needs to go to specific sets of employees. Including the person’s name, position, and other personalization features increases the likelihood of response and engagement. 
   • Risk management: HR can make use of AI algorithms to determine key personnel who may be at risk of leaving, being headhunted, or need a more defined career path. 
   Continue reading: https://www.datamation.com/artificial-intelligence/artificial-intelligence-ai-in-hr/

REA Group’s Springboard to Tech Program has paved pathways for women in tech for the last three years.
The program’s 2022 intake is expanding with eight places available for women to spring into a newfound tech career at REA.
The 12-month program offers women a personalized approach that helps with the transition into (or back into) a technical career.
On the job formal training, mentoring and coaching lead to an offer of ongoing full-time placement within the organization at the completion of the program.
REA Group Chief Technology Officer, Chris Venter said as a leading digital company, REA had an obligation to find new and innovative ways to bring talent into the tech workforce.
Continue reading: https://eliteagent.com/rea-group-expands-its-pathway-for-women-in-tech/

DMZ’s newest location features plenty of sun, sand, and surf – and hopefully startups. The DMZ at Ryerson University is opening a new innovation incubator in Bermuda, and at the same time looking to become more involved in blockchain technology.
The new startup incubator, dubbed i3 powered by the DMZ, is in partnership with InnoFund Limited. Operating from its base in Hamilton, Bermuda, InnoFund is an innovation hub that offers its own incubator and venture programming.
DMZ highlighted how Bermuda is becoming known for its growing specialization in blockchain technology, as well as InsurTech and FinTech. “The new Bermudian innovation hub will act as a one-stop-shop to help founders build cutting-edge technology and scale their start-up growth,” noted DMZ.
Continue reading: https://betakit.com/dmz-launching-incubator-in-bermuda-with-eye-towards-gaining-a-foothold-in-blockchain/

Listed below are the key regulatory trends impacting the Internet of Things (IoT) theme, as identified by GlobalData.
There are widespread fears around data privacy and the possibility of malicious attacks that can disrupt critical operations of businesses.
IoT regulation
The rapid growth of the IoT market has raised several security concerns, which typically revolve around the lack of regulation and the lack of common IoT standards. Legislation covering IoT security remains a fragmented patchwork of laws.
Governments have started to focus on this issue as IoT deployments grow, with new governance measures gaining traction. In May 2020, the US’s National Institute of Standards and Technology (NIST) released the Foundational Cybersecurity Activities for IoT Device Manufacturers guidelines. Similarly, the European Telecommunications Standards Institute (ETSI) has released a technical specification guide on Cyber Security for the Consumer IoT segment, which outlines leading security practices for consumer IoT devices.
Continue reading: https://www.power-technology.com/comment/internet-of-things-iot-regulatory-trends/

We have the still-emerging Internet of Things, a mishmash of dispersed devices, sensors, kiosks, and systems that everyone promises will make our lives such much cooler. Refrigerators will not only talk to grocery stores, but also to their manufacturers to let them know if any performance issues are cropping up. Cars are already starting to talk to their original manufacturers. Aircraft engines are also in direct contact their manufacturers to let them know what's up -- or what may not be going up. 
Great use cases, but an architectural nightmare that calls for a new role to plan and piece it all together into a coherent and viable system. This may be someone in a relatively new role, an IoT architect, or expanding the current roles of enterprise architects. The need for architects of either stripe was recently explored in a Gartner eBook, which looked at the ingredients needed to ensure success with enterprise IoT. 
The book's authors explore the emerging role of the IoT architect, who will emerge as the "central linchpin role" for planning, executing and governing IoT. "These individuals will be hard to find," according to Gartner analyst Erik Heidt. "As with any emerging technology, the recipe for success involves a mix of technical knowledge, business acumen and delivery skills. Those having such capabilities in two or more of these areas will be in extremely high demand. The good news is that organizations can use existing digital business efforts to train up candidates." 
Continue reading: https://www.zdnet.com/article/designing-the-internet-of-things-a-role-for-enterprise-architects-iot-architects-or-both/

Man is a creature who is constantly looking for ways and solutions through which he can simplify his way of life. So, looking for the answer to this question, how to simplify certain tasks in his daily life, he came up with an idea that will slowly begin to change our way of life. And that’s the idea of the Internet of Things.
What is the concept of the Internet of Things?
The definition says that IoT is a practical system of objects, devices, machines, people connected through a network, which through built-in sensors can and manage to transmit data without involving human interaction. This is a way of using modern technology and aims to provide us with a simpler and more comfortable way of life. As a simple example, we can take the smart devices we use, the mobile phone that already has an application for monitoring the weather forecast. The device itself sends us information about changes that occur such as that it is expected to rain, snowy days ahead, the significant rise in temperatures, storms, and the like. This information is very important for people because they will get the information they need about whether they should bring an umbrella today when leaving home, whether they should additionally use sunscreen, whether the weather conditions will allow them to go on the road and much more.
Continue reading: https://foreignpolicyi.org/iot-is-reshaping-retail-and-ecommerce-industry/

Mesa Air Group and aerospace tech company Flirtey announced a deal Thursday, making Mesa the first scheduled airline to launch drone delivery in the U.S.


Phoenix-based Mesa has ordered four delivery drones from Flirtey, with an option to order 500 more, according to a statement.


“Mesa is excited to partner with Flirtey to become the first scheduled airline to launch drone delivery in the U.S.,” said Mesa chairman and CEO Jonathan Ornstein in the release. “Drone delivery is a huge market and it’s here now.”


Mesa is the parent company of regional carrier Mesa Airlines and currently operates a fleet of 160 aircraft, including Boeing 737-400Fs, Bombardier CRJ-900s and Embraer E175s. The airline has roots that go back to 1982 when it began as an air shuttle service in New Mexico with one Piper Saratoga.
Continue reading: https://www.flyingmag.com/story/news/mesa-drone-delivery/

What is the current scenario of Cryptocurrencies?
When cryptocurrencies were introduced in cyberspace, they were expected to be the game changers in the world of digital and wireless payment systems. With much anticipation and excitement, people were very optimistic about the success of many kinds of cryptocurrencies.
These virtual forms of monetary entities, known as cryptocurrencies, were supposed to be the future of money. Most of the works upon these online forms of currencies began as early as the 1990s, later being merged into the idea of cryptocurrencies.
Moreover, it was initially thought that all of those cryptocurrencies will be directly linked to the usual bank accounts of the people so that the transfer of cryptos can take place easily and smoothly. But, still, this hasn’t been adopted in any banking sector till now.
Since the introduction of cryptocurrency, people have been using many terms such as “Bitcoin, Crypto, Token, etc., to identify the cryptocurrencies. And there are many explanations and definitions for different kinds of cryptocurrencies. But, they all share a common similarity, which is they’re all digital forms of money or currency.
Continue reading: https://www.analyticsinsight.net/how-are-cryptocurrencies-crypto-wallets-and-blockchain-related-to-each-other/

Machines are getting better and better at doing jobs that traditionally could only be done by humans. Largely this is thanks to advances in machine learning that have given us machines that are capable of using data to make decisions. As they are trained on more data – in simulated or real-world situations, they are able to do this with increasing proficiency. This is what we’ve come to refer to as artificial intelligence (AI) - the closest we’ve so far come to creating machines that are capable of learning, thinking, and deciding.
So is this unprecedented situation going to result in widespread human redundancy, with the associated damage and disruption to society that this would seem to entail? There are certainly some who think so. On the other hand, some believe it will lead to a new paradigm in human work and productivity, where machines take care of all the dirty, boring, and dangerous jobs, leaving us free to spend time on more rewarding creative, fun or social pursuits.
As always, the truth is likely to be somewhere in the middle. We are already seeing robots threatening the livelihood of those in some low-skill applications – just take a look at Amazon’s cashier-less stores, or plans by McDonalds to introduce AI drive-thru restaurants. For a more general prediction, the World Economic Forum estimates that while up to 85 million jobs will be lost to AI and automation by 2025, 97 million will be created by the opportunities that AI brings in the same period.
Continue reading: https://www.forbes.com/sites/bernardmarr/2021/10/22/ai-and-data-at-dow-jones-why-humans-are-the-machine-behind-ai/?sh=65eba5852eb1

As more Indians are signing up for digital services in the post-pandemic world, start-ups are increasingly leveraging Artificial Intelligence (AI) and Machine Learning (ML) to redefine consumer experience and fuel the growth of their businesses.
“Right from reading the customer behavior and making the right recommendations to maintaining product quality and judging behavioral changes, AI and ML play a vital role in business development,” explains Jayesh Jose, chief technology officer at FreshToHome — an online firm that sells fresh fish and meat.
Start-ups deploy AI and ML to gather rich insights on pricing, demand prediction, product mix and customer preference. Using AI and Internet of Things (IoT) for perishable items in its cold chain ensures safe processing from sourcing till delivery, says Jose. “Earlier businesses used to depend on historical data or past performances but now there are behavioral changes, making that data inadequate. At FreshToHome, we use adaptive AI that learns in real-time rather than the typical AI drawing primarily from past insights. This is where the role of AI and ML becomes even more relevant today than in the pre-pandemic times," he adds.
Continue reading: https://www.fortuneindia.com/enterprise/how-start-ups-use-ai-to-spur-business-growth/106083

What is the impact of artificial intelligence (AI) and big data on societies in the Indo-Pacific?  How are countries using AI and big data to enhance their national security and advance their national interests? And what are the major regulatory issues? For a perspective on these and other matters, Jongsoo Lee interviewed Simon Chesterman, dean and provost’s chair professor of the National University of Singapore Faculty of Law and senior director of AI Governance at AI Singapore.
What are nations in the Indo-Pacific doing to develop their artificial intelligence (AI) and big data capabilities? Which countries are successful, and which are not?  
The importance of technological innovation to economic development has long been a feature in Asian tiger economies. Wealthy, internet-savvy countries like Japan, South Korea, and Singapore leveraged the benefits of high tech and consumers embraced it. More recently, China made AI a strategic priority and that was a game changer.
Continue reading: https://thediplomat.com/2021/10/artificial-intelligence-and-big-data-in-the-indo-pacific/

A new wave of digital transformation in the post-Covid world is expected to fuel the growth of the IoT market. Companies and organizations that initiate early adoption of IoT are more likely to recover quickly from the impact of the pandemic.
Listed below are the key macroeconomic trends impacting the IoT theme, as identified by GlobalData.
Covid-19
The Covid-19 pandemic has forced businesses to invest more in technology. IoT technology, in particular, helped with tasks that required social distancing, remote working, or contact tracing. In a post-Covid world, many organizations consider digitalization as their top priority, and they see IoT as one of the enablers. Remote asset access and business process automation will be prominent features in the office and factory of the future. The demand for new IoT applications will be driven in 2021 by telemedicine, smart offices, remote asset monitoring, and location tracking services.
Continue reading: https://www.verdict.co.uk/internet-of-things-iot-macroeconomic-trends/

Girls Who Code and Marshall Plan for Moms founder Reshma Saujani encouraged students to address social problems with entrepreneurship and advocate for equity in the workforce as a speaker for Stanford’s Entrepreneurial Thought Leaders (ETL) series on Wednesday. 
“We think that to start a company, we have to be an expert,” Saujani said. “And I really think you just have to have [a] passion for solving the problem.” 
Ravi Belani ’97 M.S. ’98, adjunct management science and engineering lecturer, moderated the conversation, which was held via Zoom and live-streamed on YouTube. Belani organizes the ETL series, which consists of recorded content from MS&E 472, a one-unit course that features leaders in entrepreneurship and innovation. 
Saujani said that she was inspired to start Girls Who Code after losing a 2010 race for the United States Congress. Determined to create positive social impact, she decided to address a problem she first noticed on the campaign trail and couldn’t stop thinking about: the lack of girls in the computer science and robotics classrooms at the schools she visited. 
Continue reading: https://www.stanforddaily.com/2021/10/21/girls-who-code-founder-reshma-saujani-urges-empowering-women-in-technology/

According to a joint study by LinkedIn and World Economic Forum, women make up only 25% of the STEM (Science, Technology, Engineering, Math) workforce. Only 22% of artificial intelligence (AI) professionals and 12% of machine-learning (ML) experts are women. The already under-represented group is also the worst affected by the pandemic.  A Citigroup research report released last year predicted that 44 million could lose their jobs due to the pandemic-led economic tumult, of which 31 million could be women.. Despite the pandemic impacting women disproportionately, the world doesn’t have to end here. Mass digitalization and improved upskilling opportunities can prove effective to raise the women workforce’s immunity against all odds.  
Dawn of disruption
The outbreak of Covid-19 pandemic left a severe impact on working women. Most of the administrative and clerical jobs, primarily served by women, are now being replaced by AI and ML-backed automation. On the flip side, the lockdown has given a lightning pace to digital disruption. Almost every business had to shift online, increasing their digital component. This paradigm shift has created a demand focused on skilled employees who are acquainted with these machines and technologies. Thereby, the way forward for both organizations and employees is upskilling of the existing talent.
Continue reading: https://www.peoplematters.in/article/hr-technology/importance-of-upskilling-for-women-in-technology-sector-31332

Three dogs that are trapped near the erupting Cumbre Vieja volcano on the Canary Islands may soon be saved by a drone.
The poor, emaciated pups have been stuck in a yard surrounded by lava for a month. The volcano began erupting in September for the first time in 50 years, forcing thousands of people to evacuate, and the eruption is still ongoing.
Spanish drone operator Aerocámaras said last Thursday that it had a plan to rescue the dogs. It could fly drones over to the yard with food for the pups and a camera that could help operators on the ground find the best to airlift them. Once the animals had some time to get used to the machines, the drones would drop cargo nets over them to pick them up one by one and carry them to safety.
On Wednesday, Aerocamaras’ Jaime Pereira confirmed that the company had officially received permission from authorities to carry out the rescue mission. To get the state’s blessing, the firm had to complete a test mission that consisted of a quarter-mile (1.2-kilometer) flight with the drone supporting a load of 33 pounds (15 kilograms), which it did successfully.
Continue reading: https://gizmodo.com/a-drone-will-rescue-three-dogs-trapped-by-la-palma-volc-1847899641

FPV stands for first-person view. So, when it comes to flying an FPV drone, essentially this means that pilots of FPV drones see what the drone sees. Traditional drones differ from this as they are piloted through the pilot’s perspective on the ground. With FPV, it is instead piloted through the perspective of the drone, not the pilot, via an onboard camera. A drone’s eye view, if you will.
FPV and the more conventional drones look very similar in pretty much every perspective though. The more traditional drones also have onboard cameras or, if not, can be fitted with them if the pilot wants to fly FPV. And, vice versa, the FPV can have the camera disabled if they want to opt for a more standard viewing. It just depends on your preference.
Below, we've outlined everything you need to know about FPV drones. But remember, before you head out with your new toy you should check out all the drone regulations that apply in your area. There are special rules that apply if you want to fly your drone at night too, so make sure you're aware of all the rules if you're flying after sundown.
Continue reading: https://www.space.com/what-are-fpv-drones