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<h2>What is Artificial Intelligence in Healthcare?</h2>Artificial intelligence in healthcare refers to the use of complex algorithms designed to perform certain tasks in an automated fashion. When researchers, doctors and scientists inject data into computers, the newly built algorithms can review, interpret and even suggest solutions to complex medical problems.The role of artificial intelligence in healthcare has been a huge talking point in recent months and there’s no sign of the adoption of this technology slowing down, well, ever really.AI in healthcare has huge and wide reaching potential with everything from mobile coaching solutions to drug discovery falling under the umbrella of what can be achieved with machine learning.That being said, many healthcare executives are still too shy when it comes to experimenting with AI due to privacy concerns, data integrity concerns or the unfortunate presence of various organizational silos making data sharing next to impossible. We’ve covered the main barriers to adopting AI in healthcare&nbsp;However, the future of healthcare &amp; the future of machine learning and artificial intelligence are deeply interconnected.Following our comprehensive guides on <a href="https://healthcareweekly.com/artificial-intelligence-in-pharmacology/">Artificial Intelligence in Pharma</a> and <a href="https://healthcareweekly.com/blockchain-in-healthcare-guide/">Blockchain in Healthcare</a>, we’ve decided to take a closer look at how the healthcare industry is positively impacted by the rise in popularity of artificial intelligence.Applications of Artificial Intelligence in healthcare are endless. That much we know.We also know that we’ve only scratched the surface of what AI can do for healthcare. Which is both amazing and frightening at the same time.At the highest level, here are some of the current technological applications of AI in healthcare you should know about (some will be explored further in the article while some use cases have gotten their own standalone articles on HealthcareWeekly already).Medical diagnostics: the use of Artificial Intelligence to diagnose patients with specific diseases. Check out our roundup report from industry experts <a href="https://healthcareweekly.com/trend-watch-artificial-intelligence-and-healthcare/">here</a>. Also, a report AI platform was announced in March 2019 which is expected to <a href="https://healthcareweekly.com/artificial-intelligence-powered-networks-cancer-prediction/">help identify and anticipate cancer development</a>.Drug discovery: There are dozens of health and pharma companies currently leveraging Artificial Intelligence to help with drug discovery and improve the lengthy timelines and processes tied to discovering and taking drugs all the way to market. If this is something you’re interested in, check our report titled <a href="https://healthcareweekly.com/artificial-intelligence-in-pharmacology/">Pharma Industry in the Age of Artificial Intelligence: The Future is Bright</a>.Clinical Trials: Clinical Trials are, unfortunately, a real mess. Most clinical trials are managed offline with no integrated solutions that can track progress, data gathering and drug trial outcomes. Read about how Artificial Intelligence is reshaping clinical trials <a href="https://healthcareweekly.com/artificial-intelligence-clinical-trials/">here</a>. Also, you may also be interested in the <a href="https://healthcareweekly.com/podcast-the-future-of-blockchain-in-healthcare-with-robert-chu-ceo-embleema/">Healthcare Weekly podcast episode with Robert Chu</a>, CEO @ Embleema where we talk about how Embleema is using AI and blockchain to revolutionize clinical trials. If Blockchain in healthcare is your thing, you may also be interested in our <a href="https://healthcareweekly.com/blockchain-in-healthcare-guide/">Global “Blockchain in Healthcare'' Report: the 2019 ultimate guide for every executive</a>.Pain management: This is still an emergent focus area in healthcare. As it turns out, by leveraging virtual reality combined with artificial intelligence, we can create simulated realities that can distract patients from the current source of their pain and even help with the opioid crisis. You can read more about how <a href="https://healthcareweekly.com/virtual-reality-in-healthcare/">this works here</a>. Another great example of where AI and VR meet is the Johnson and Johnson Reality Program which <a href="https://healthcareweekly.com/johnson-and-johnson-virtual-reality/">we’ve covered at length here</a>. In short, J&amp;J has created a simulated environment which uses rules-based algorithms to train physicians in a simulated environment to get better at their job.&nbsp;&nbsp;&nbsp;Improving patient outcomes: Patients outcomes can be improved through a wide variety of strategies and outcomes driven by artificial intelligence. To begin with, check our report on <a href="https://healthcareweekly.com/alexa-in-healthcare/">10 ways Amazon’s Alexa is revolutionizing healthcare</a> and our Healthcare Weekly Podcast with Helpsy’s CEO Sangeeta Agarwal. Helpsy has developed the <a href="https://healthcareweekly.com/artificial-intelligence-cancer-helpsy-podcast/">first Artificial Intelligence nurse</a> in the form of a chatbot which assists patients at every stage of the way in their battle with cancer.These are just a few examples – and they’re only meant to quickly give you a flavor of what artificial intelligence in healthcare is all about. Let’s dig into more specific examples that every healthcare executive should be aware of in 2019.<h2>How is artificial intelligence used in the medical field?</h2>Artificial intelligence in the medical field relies on the analysis and interpretation of huge amounts of data sets in order to help doctors make better decisions, manage patient data information effectively, create personalized medicine plans from complex data sets and discover new drugs.Let’s look at each of these amazing use-cases in more detail.&nbsp;<h3>1. Clinical decision support</h3>AI in healthcare can prove useful within clinical decision support to help doctors make better decisions faster with pattern recognition of health complications that are registered far more accurately than by the human brain.The time saved and the conditions diagnosed are vital in an industry where the time taken and decisions made can be life-altering for patients.<h3>2. Information Management (both physician and patient)</h3>AI in healthcare is a great addition to the information management for both physician and patient. With patients getting to doctors faster, or not at all when <a href="https://healthcareweekly.com/telemedicine-ultimate-guide/">telemedicine</a> is employed, valuable time and money are saved, taking the strain off of healthcare professionals and increasing comfort of patients.Doctors can also further their learning and increase their abilities within the job through AI-driven educational modules, further showing the information management capabilities of AI in healthcare.How is AI used in pharma (executive summary)?Around <a href="https://www.ip-pragmatics.com/media/1049/ip-pragmatics-artificial-intelligence-white-paper.pdf">$5bn</a> was invested into AI companies in 2016 and it’s no surprise that healthcare is up there with one of the fastest growing sectors. The healthcare industry is expected to get more than <a href="https://www.ft.com/content/e450a688-ddfb-11e8-b173-ebef6ab1374a">$6.6bn</a> in investments by 2021.There are 4 main machine learning initiatives within the <a href="https://healthcareweekly.com/artificial-intelligence-in-pharmacology/">top 5 pharmaceutical and biotechnology companies</a> ranging from mobile coaching solutions and telemedicine to drug discovery and acquisitions.&nbsp;<h3>1. Mobile coaching solutions</h3>Mobile coaching solutions come in the form of advising patients and improving treatment outcomes using real-time data collection. There’s a huge push in <a href="https://healthcareweekly.com/telemedicine-ultimate-guide/">telemedicine</a> in recent years too with companies employing AI for minor diagnosis within smartphone apps.<h3>2. Personalized medicine</h3>The ability to analyze large amounts of patient data to identify treatment options. The technology is able to identify treatment options through cloud-based systems able to process natural language.<h3>3. Acquisitions</h3>Acquisitions continue to feed innovation needs of both large and old biotech firms and with the development of AI, there’s plenty to offer up when it comes to company control.With startups combining the world of AI and healthcare, there’s more choice for older and larger companies to acquire information, systems and even the people responsible for leaps and bounds in technology.<h3>4. Drug discovery</h3>Drug discovery is another great place for AI to slip in with pharma companies able to include cutting-edge technology into the expensive and lengthy process of drug discovery.The benefits of AI are instantly apparent with the focus on time-saving and pattern recognition upon testing and identification of new drugs.In early-stage drug discovery, start-ups such as <a href="https://healthcareweekly.com/big-pharma-news-benevolentai/">BenevolentAI</a> or <a href="https://healthcareweekly.com/verge-genomics-raises-32-million/">Verge Genomics</a> are known to adopt algorithms which comb through portions of data for patterns too complex for humans to identify, saving both time and innovating in a way that we otherwise may not have been able to.&nbsp; &nbsp;

<h2>What is Artificial Intelligence in Healthcare?</h2>Artificial intelligence in healthcare refers to the use of complex algorithms designed to perform certain tasks in an automated fashion. When researchers, doctors and scientists inject data into computers, the newly built algorithms can review, interpret and even suggest solutions to complex medical problems.The role of artificial intelligence in healthcare has been a huge talking point in recent months and there’s no sign of the adoption of this technology slowing down, well, ever really.AI in healthcare has huge and wide reaching potential with everything from mobile coaching solutions to drug discovery falling under the umbrella of what can be achieved with machine learning.That being said, many healthcare executives are still too shy when it comes to experimenting with AI due to privacy concerns, data integrity concerns or the unfortunate presence of various organizational silos making data sharing next to impossible. We’ve covered the main barriers to adopting AI in healthcare&nbsp;However, the future of healthcare &amp; the future of machine learning and artificial intelligence are deeply interconnected.Following our comprehensive guides on <a href="https://healthcareweekly.com/artificial-intelligence-in-pharmacology/">Artificial Intelligence in Pharma</a> and <a href="https://healthcareweekly.com/blockchain-in-healthcare-guide/">Blockchain in Healthcare</a>, we’ve decided to take a closer look at how the healthcare industry is positively impacted by the rise in popularity of artificial intelligence.Applications of Artificial Intelligence in healthcare are endless. That much we know.We also know that we’ve only scratched the surface of what AI can do for healthcare. Which is both amazing and frightening at the same time.At the highest level, here are some of the current technological applications of AI in healthcare you should know about (some will be explored further in the article while some use cases have gotten their own standalone articles on HealthcareWeekly already).Medical diagnostics: the use of Artificial Intelligence to diagnose patients with specific diseases. Check out our roundup report from industry experts <a href="https://healthcareweekly.com/trend-watch-artificial-intelligence-and-healthcare/">here</a>. Also, a report AI platform was announced in March 2019 which is expected to <a href="https://healthcareweekly.com/artificial-intelligence-powered-networks-cancer-prediction/">help identify and anticipate cancer development</a>.Drug discovery: There are dozens of health and pharma companies currently leveraging Artificial Intelligence to help with drug discovery and improve the lengthy timelines and processes tied to discovering and taking drugs all the way to market. If this is something you’re interested in, check our report titled <a href="https://healthcareweekly.com/artificial-intelligence-in-pharmacology/">Pharma Industry in the Age of Artificial Intelligence: The Future is Bright</a>.Clinical Trials: Clinical Trials are, unfortunately, a real mess. Most clinical trials are managed offline with no integrated solutions that can track progress, data gathering and drug trial outcomes. Read about how Artificial Intelligence is reshaping clinical trials <a href="https://healthcareweekly.com/artificial-intelligence-clinical-trials/">here</a>. Also, you may also be interested in the <a href="https://healthcareweekly.com/podcast-the-future-of-blockchain-in-healthcare-with-robert-chu-ceo-embleema/">Healthcare Weekly podcast episode with Robert Chu</a>, CEO @ Embleema where we talk about how Embleema is using AI and blockchain to revolutionize clinical trials. If Blockchain in healthcare is your thing, you may also be interested in our <a href="https://healthcareweekly.com/blockchain-in-healthcare-guide/">Global “Blockchain in Healthcare'' Report: the 2019 ultimate guide for every executive</a>.Pain management: This is still an emergent focus area in healthcare. As it turns out, by leveraging virtual reality combined with artificial intelligence, we can create simulated realities that can distract patients from the current source of their pain and even help with the opioid crisis. You can read more about how <a href="https://healthcareweekly.com/virtual-reality-in-healthcare/">this works here</a>. Another great example of where AI and VR meet is the Johnson and Johnson Reality Program which <a href="https://healthcareweekly.com/johnson-and-johnson-virtual-reality/">we’ve covered at length here</a>. In short, J&amp;J has created a simulated environment which uses rules-based algorithms to train physicians in a simulated environment to get better at their job.&nbsp;&nbsp;&nbsp;Improving patient outcomes: Patients outcomes can be improved through a wide variety of strategies and outcomes driven by artificial intelligence. To begin with, check our report on <a href="https://healthcareweekly.com/alexa-in-healthcare/">10 ways Amazon’s Alexa is revolutionizing healthcare</a> and our Healthcare Weekly Podcast with Helpsy’s CEO Sangeeta Agarwal. Helpsy has developed the <a href="https://healthcareweekly.com/artificial-intelligence-cancer-helpsy-podcast/">first Artificial Intelligence nurse</a> in the form of a chatbot which assists patients at every stage of the way in their battle with cancer.These are just a few examples – and they’re only meant to quickly give you a flavor of what artificial intelligence in healthcare is all about. Let’s dig into more specific examples that every healthcare executive should be aware of in 2019.<h2>How is artificial intelligence used in the medical field?</h2>Artificial intelligence in the medical field relies on the analysis and interpretation of huge amounts of data sets in order to help doctors make better decisions, manage patient data information effectively, create personalized medicine plans from complex data sets and discover new drugs.Let’s look at each of these amazing use-cases in more detail.&nbsp;<h3>1. Clinical decision support</h3>AI in healthcare can prove useful within clinical decision support to help doctors make better decisions faster with pattern recognition of health complications that are registered far more accurately than by the human brain.The time saved and the conditions diagnosed are vital in an industry where the time taken and decisions made can be life-altering for patients.<h3>2. Information Management (both physician and patient)</h3>AI in healthcare is a great addition to the information management for both physician and patient. With patients getting to doctors faster, or not at all when <a href="https://healthcareweekly.com/telemedicine-ultimate-guide/">telemedicine</a> is employed, valuable time and money are saved, taking the strain off of healthcare professionals and increasing comfort of patients.Doctors can also further their learning and increase their abilities within the job through AI-driven educational modules, further showing the information management capabilities of AI in healthcare.How is AI used in pharma (executive summary)?Around <a href="https://www.ip-pragmatics.com/media/1049/ip-pragmatics-artificial-intelligence-white-paper.pdf">$5bn</a> was invested into AI companies in 2016 and it’s no surprise that healthcare is up there with one of the fastest growing sectors. The healthcare industry is expected to get more than <a href="https://www.ft.com/content/e450a688-ddfb-11e8-b173-ebef6ab1374a">$6.6bn</a> in investments by 2021.There are 4 main machine learning initiatives within the <a href="https://healthcareweekly.com/artificial-intelligence-in-pharmacology/">top 5 pharmaceutical and biotechnology companies</a> ranging from mobile coaching solutions and telemedicine to drug discovery and acquisitions.&nbsp;<h3>1. Mobile coaching solutions</h3>Mobile coaching solutions come in the form of advising patients and improving treatment outcomes using real-time data collection. There’s a huge push in <a href="https://healthcareweekly.com/telemedicine-ultimate-guide/">telemedicine</a> in recent years too with companies employing AI for minor diagnosis within smartphone apps.<h3>2. Personalized medicine</h3>The ability to analyze large amounts of patient data to identify treatment options. The technology is able to identify treatment options through cloud-based systems able to process natural language.<h3>3. Acquisitions</h3>Acquisitions continue to feed innovation needs of both large and old biotech firms and with the development of AI, there’s plenty to offer up when it comes to company control.With startups combining the world of AI and healthcare, there’s more choice for older and larger companies to acquire information, systems and even the people responsible for leaps and bounds in technology.<h3>4. Drug discovery</h3>Drug discovery is another great place for AI to slip in with pharma companies able to include cutting-edge technology into the expensive and lengthy process of drug discovery.The benefits of AI are instantly apparent with the focus on time-saving and pattern recognition upon testing and identification of new drugs.In early-stage drug discovery, start-ups such as <a href="https://healthcareweekly.com/big-pharma-news-benevolentai/">BenevolentAI</a> or <a href="https://healthcareweekly.com/verge-genomics-raises-32-million/">Verge Genomics</a> are known to adopt algorithms which comb through portions of data for patterns too complex for humans to identify, saving both time and innovating in a way that we otherwise may not have been able to.&nbsp;

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Artificial intelligence in healthcare refers to the use of complex algorithms designed to perform certain tasks in an automated fashion. When researchers, doctors and scientists inject data into computers, the newly built algorithms can review, interpret and even suggest solutions to complex medical problems.

Artificial intelligence

Artificial intelligence in healthcare refers to the use of complex algorithms designed to perform certain tasks in an automated fashion. When researchers, doctors and scientists inject data into computers, the newly built algorithms can review, interpret and even suggest solutions to complex medical problems.

Artificial Intelligence in Healthcare : The future of healthcare & the future of machine learning and artificial intelligence are deeply interconnected.

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<h1>Digital transformation: (re)thinking about the digital inclusion of refugees and IDPs.</h1>&nbsp;When the COVID-19 pandemic broke out two years ago, much of the world moved online, accelerating a digital transformation that has been underway for decades. The crisis contributed to show the potential as well as the social implications of digital technologies in a wide range of sectors such as education, jobs, health, government services and even social interactions.&nbsp; &nbsp;Technological advances such as artificial intelligence, automation and robotics are progressively shaping the world of work and creating new job opportunities while making others obsolete.<a href="#_ftn1">[1]</a> For instance, the disruptive and transformative effects of the new technologies on our economies and work resulted in a steep rise in demand for skilled IT workforce.&nbsp;<ul><li style="text-align:justify;">The&nbsp;<a href="https://www.weforum.org/agenda/2020/01/future-of-work/">World Economic Forum</a>, estimated that 90% of the workforce will need digital skills by 2023.-&nbsp;</li></ul>Ramifications of these changes on the economy and labour market differ from country to country, especially based on their development and adaptation level.&nbsp; <a href="https://unctad.org/system/files/official-document/der2019_en.pdf">A 2019 UNCTAD Report</a>, revealed a consistent digital inequality within and among countries. The United States and China create the vast majority of wealth in the digital economy, accounting for 75% of all patents related to blockchain technologies, 50% of global spending on the “Internet of Things” (IoT), more than 75% of the cloud computing market, and as much as 90% per cent of the market capitalization value of the world’s 70 largest digital platform companies.The rest of the world, particularly LDCs and countries in Africa and Latin America, are trailing considerably behind.&nbsp; Therefore, countries need to have a workforce equipped with skills to adopt technological advancements. Failing in this will create an income gap that will lead to sharpened social injustice and tension.&nbsp;As a matter of fact, <a href="https://journals.uic.edu/ojs/index.php/fm/article/view/10842">it is noted</a> that digital inequalities persist alongside other factors such as economic class, gender, sexuality, race and ethnicity, aging, disability, healthcare, education, rural residency, networks, and global geographies.As a result, digital inequalities are leaving those without resources ever further behind. But what are the implications of this digital transformation in the world of work for refugees and forcibly displaced persons who are often one of the <a href="https://www.unhcr.org/5ee200e37.pdf">most vulnerable groups in the labour market</a>?&nbsp;&nbsp;<ul><li style="text-align:justify;">To harness the positive potential of this digital transformation for the future of work and reduce its harmful impact, global action and planning must give more attention to populations that are economically and politically marginalized, such as refugees. ILO -2021</li></ul>&nbsp;DIGITAL REFUGEES LIVELIHOODSAccording to the <a href="https://www.unhcr.org/refugee-statistics/">UNHCR</a>, at the end of 2020, 82.4 million people worldwide were forced to move because of persecution, conflict, violence or human rights violations. Of these, 26.4 million are refugees and 48.0 million are internally displaced persons (IDPs). Besides, an estimated 35 million (42%) of the 82.4 million forcibly displaced people are children below 18 years of age.Considering the entity and the proportion of the&nbsp; number of refugees and displaced persons around the world, the increasingly importance of internet and ICT, as well as the possibility that the digital transformation can sharpen the social inequalities,&nbsp;there is an imperative need to <a href="https://scoa.org.au/wp-content/uploads/2021/01/Supporting-the-digital-inclusion-of-new-migrants-and-refugees.pdf">(re)think the digital inclusion of refugees and IDPs</a>.Technology can provide refugees and IDPs with several social and economic benefits, including but not limited to, internet connectivity and access, communication with family and friends, education and employment opportunities, access to market and finance, skill development and entrepreneurship support.What is the potential that digital skills training and digitised employment have to offer for the refugees’ economic inclusion?<a href="https://ilo.org/wcmsp5/groups/public/---ed_protect/---protrav/---migrant/documents/publication/wcms_785236.pdf">A 2021 ILO report</a>, reveals that the current digital transformation has far-reaching implications for forcibly displaced persons and refugees who are in search of employment and secure livelihood for themselves and their families.&nbsp;The new technologies and the promise of the digital economy can connect refugees with access to decent jobs, which is the most suitable alternative for these vulnerable groups to overcome gender and market barriers and the entrenched war economy. In fact, digital economy, particularly digital platform work, represents a promising alternative especially in war-torn countries where local labour markets are often exploitative, restrictive, and highly dependent from informal economy or humanitarian aids.&nbsp;Besides, home-based remote work, including types of online work, seems to be an attractive option for many refugees, especially for refugees’ women as it offers security and flexibility in choosing and scheduling work, it&nbsp;can mitigate childcare challenges, and can address other cultural elements such as a preference for gender-segregated workspaces.&nbsp;<ul><li style="text-align:justify;">According to the Online Labour Index, which tracks the supply and demand of online freelancing, the utilisation of online labour has grown steadily, and by 45% between 2016 and 2019 alone.</li></ul>&nbsp;Digital entrepreneurship is another sector of the digital economy with a great potential for the integration and empowerment of refugees and IDPs. For instance, <a href="https://cms.iccwbo.org/content/uploads/sites/3/2020/09/05-icc-case-study-start-up-syria.pdf">several case studies</a> and <a href="https://academic.oup.com/jrs/article/34/1/1202/5906180">research</a>, show that refugees with digital skills and ICT knowledge, can create entrepreneurial opportunities, even in restrictive and difficult environments, contributing to the local society and economy of the host country. In 2017, a total of 8,367 new Syrian companies were&nbsp;founded in Turkey. In the <a href="https://cms.iccwbo.org/content/uploads/sites/3/2020/09/05-icc-case-study-start-up-syria.pdf">Zaatari refugee camp in Jordan</a> there were more than 3,000 Syrian-run businesses&nbsp;with a total value of US$13 million per month.&nbsp;However, despite the potential benefits of the digital transformation, refugees in host countries continue to face a number of specific challenges, including travel restrictions, restrictions on banking and financial services, limited funding and investment options, language and cultural barriers, psychosocial trauma, social exclusion, legal restrictions, and uncertain futures. These dire issues have serious consequences such as increased poverty, long-term social frustration and disillusionment resulting from unemployment, that can lead to a greater sense of marginalization and exclusion, both at the individual and the collective levels. This in turn could lead to extremes in individual behaviour and even a collective sense of generational exclusion and resentment with serious health and psychological impact on youth from host and refugee communities. &nbsp;<hr><a href="#_ftnref1">[1]</a> ILO, “Technological Changes and Work in the Future: Making Technology Work for All,” Future of Work: The Centenary Initiative (Geneva, 2016), http://www.ilo.org/global/topics/future-of-work/WCMS_534201/lang--en/index.htm.

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When the COVID-19 pandemic broke out two years ago, much of the world moved online, accelerating a digital transformation that has been underway for decades

digital transformation

When the COVID-19 pandemic broke out two years ago, much of the world moved online, accelerating a digital transformation that has been underway for decades. The crisis contributed to show the potential as well as the social implications of digital technologies in a wide range of sectors such as education, jobs, health, government services and even social interactions.

Digital transformation : Technological advances such as artificial intelligence, automation and robotics are progressively shaping the world of work and creating new job opportunities

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moved online, accelerating a digital 

<h1>Elon Musk Announces the Birth of the Tesla Bot. Sonny is About to Walk Among Us</h1>Tesla isn't an automotive business that uses technology. It is a technology company that just happens to build cars and we tend to forget this fact. Elon Musk has once again driven home the true nature of Tesla’s business, by announcing the launch in 2022 of the first true ‘humanoid robot’, simply referred to as the Tesla Bot.At 5'8" and weighing in at 125 pounds (56.7 Kg) the human-shaped bot will offer us our first glimpse into a future reflected in so many of the Sci-fi movies we’ve watched over the last two decades. Will Smith’s I Robot immediately springs to mind, helped in no small part by the fact the Tesla Bot’s design is reminiscent of Sonny. &nbsp;Announcing the launch at the <a href="https://www.teslarati.com/tesla-ai-day-live-blog/">Artificial Intelligence Event</a> the company held today at its Palo Alto headquarters., Musk stressed one of the primary functions of the bot, to perform work that is considered dangerous to humans. Some of the tasks that the robot will be able to complete, including grocery runs, picking up household objects, and other everyday commands.Tesla Bot will utilize some of the company’s AI devices that are operational on the Tesla vehicles. Autopilot cameras will essentially act as the vision for the Tesla Bot, while a Full Self-Driving computer will function as the internal organs of the robot, helping it to operate and function as a productive member of the household.It will utilize multi-camera video neural networks, identical to what was detailed during the company’s AI Event. Additionally, Neural Net planning, labeling, simulation, and tools will also be used to help the Tesla Bot operate effectively and efficiently, while accurately performing tasks.Given what we know about Musk and Tesla, the announcement really shouldn't have come as a surprise.There is the planned Mars mission built off the back of the Starship, arguably the most cutting edge battery technology in the world, independent A.I. developed for Tesla vehicles, capable of autonomous decision-making skills and an almost limitless budget. Couple that with the fact that many consider Elon Musk a visionary and you’re only a few technical nuts and bolts away from Sonny.Aside from a future where it will become commonplace to see these humanoids manning space flights to Mars and building new structures and bases in low earth orbit, the Tesla Bot has a lot to offer humanity right here at home.Just from a healthcare perspective imagine the lives we could have saved during the recent pandemic. Hospital staff would no longer have needed to enter high-risk areas to perform simple tasks. High traffic areas, warehouses, and so many more essential services could have been manned by a virus-proof workforce.<h2>No, it isn't the end of humanity</h2>The physical appearance of the Tesla Bot may remind us of Sonny, but the similarities stop there. Tesla’s robot isn't capable of staging a revolution, far less running around city centers blasting humans. It is a workhorse capable of preprogrammed responses and teaching itself to perform mundane and repetitive tasks.At a top speed of 5km per hour, the robot wouldn't be capable of catching a grandmother with a walking frame and we are still decades away from developing technology that mirrors that shown in movies like I Robot.The benefits the Bot offers now however are as endless and varied as the tasks we perform on a daily basis, but don't get overly excited just yet about ordering one to carry your drinks to the pool. Although a prototype will be released next year according to Musk, it's going to take a while to iron out A.I. and design wrinkles. &nbsp;

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Tesla isn't an automotive business that uses technology. It is a technology company that just happens to build cars and we tend to forget this fact. Elon Musk has once again driven home the true nature of Tesla’s business

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Tesla isn't an automotive business that uses technology. It is a technology company that just happens to build cars and we tend to forget this fact. Elon Musk has once again driven home the true nature of Tesla’s business

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الذكاء الاصطناعي هو محاكاة الذكاء البشري في آلات مبرمجة للتفكير مثل البشر وتقليد أفعالهم.

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A simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

الذكاء الاصطناعي هو محاكاة الذكاء البشري في آلات مبرمجة للتفكير مثل البشر وتقليد أفعالهم.

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Web development

 تطوير الشبكة

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Mobile Development

 هندسة البرمجيات

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Website design

برمجة الحاسوب

We offer three types of services : Website design , Web Development and Mobile Development

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A friendly user interface

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Software Development

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Web Development

تطوير الويب

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 برمجة الحاسوب

Improve productivity and expand your business by developing the right software solution

Digitized content that can be transmitted over the internet or computer networks.


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Digital Marketing

 الواقع الافتراضي

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 Graphic Design

الفن الرقمي

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Video Editing

2D Modeler / Animator

We offer three types of services : Digital Marketing , Graphic Design and Video Editing . 

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Digital Media

Digitized content that can be transmitted over the internet or computer networks.

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الواقع الافتراضي

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 الفن الرقمي

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3D Modeler / Animator

Promote your business and access new markets

A Computational Linguistics  term that refers to written language, whereas Speech Technology is used for the analysis and synthesis of spoken language

. يوت انيم أد مينيم فينايم,كيواس نوستريد أكسير سيتاشن يللأمكو لابورأس نيسي يت أليكيوب أكس أيا كوممودو

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Translation

معالجة اللغة الطبيعية

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Editing and Transcriptions

 الترجمة الآلية

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Content Writing

 التعرف على الكلام

We offer three types of services : Translation , Editing and Transcriptions and Content Writing. 

Outsourcing and Freelancing Agency

Subul is your trusted source

Dataset Collection

Dataset Annotation

Dataset Validation

Who We Are

+700Creative People

+30Satisfied Clients

+160Projects Delivered

How it Works

Trial

Assign

Implement

QC

Validation

Why Choose Us

The Best For Every Budget

Quality Work Done Quickly

End to End Solutions

A Business Solution For Teams

Hire the Best Freelancers for Any Job Online

Creating new pathways to the future of work for refugees and conflict affected people

Beneficiaries

Trainings Provided

Jobs Provided

Locations

Artificial Intelligence in Healthcare : The future of healthcare & the future of machine learning and artificial intelligence are deeply interconnected.

Digital transformation : Technological advances such as artificial intelligence, automation and robotics are progressively shaping the world of work and creating new job opportunities

AI Bot : Our highly experienced team of AI annotators are ready to help take your software to the next level.

Customized work force

Our Partner