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Machine learning and statistical classification of birdsong link vocal acoustic features with phylogeny | Scientific Reports - Nature.com

A 22% churn in the Indian job market is estimated in the next five years where artificial intelligence, machine learning and data segments are likely to emerge as top job producing areas, according to a study by the World Economic Forum.

The study, Future of Jobs report, said around 61% of Indian companies think broader application of environment, social and governance (ESG) standards will drive job growth. Similarly, 59% of companies think adopting new technologies will develop employment, whereas 55% think broadening digital access could bring in more jobs.

India and China were found to be more positive than the global average when it comes to comparing with countries' viewpoints on talent availability while hiring. However, India has been placed among seven countries where growth in social jobs was found to be slower than non-social jobs.

Globally, the report discovered there is a 23% job market churn with 69 million new jobs expected to be created and 83 million are predicted to be eliminated by 2027.

"Almost a quarter of jobs (23 per cent) are expected to change in the next five years through growth of 10.2 per cent and decline of 12.3 per cent (globally)," the WEF said.

The survey was conducted in 803 companies across 45 economies around the world that collectively employ over 11.3 million workers.

It noted that technology has posed both opportunities and challenges to labour market where both the fastest-growing as well as declining roles are driven by it and the digitalisation.

The report further pointed out that only half of the employees have access to adequate training opportunities and by 2027, six out of 10 workers will require proper training.

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22% churn in Indian job market likely by next 5 years; AI, tech among top roles - Hindustan Times

10 best ways to earn money through machine learning in 2023 are enlisted in this article

10 best ways to earn money through machine learning in 2023 take advantage of the early lifespan and its adoption may then leverage this into other apps.

Land Gigs with FlexJobs: FlexJobs is one of the top freelance websites for finding high-quality employment from actual businesses. Whether you are a machine learning novice or a specialist, you may begin communicating with clients to monetize your skills by working on freelancing projects.

Become a Freelancer or List your Company to Hire a Team on Toptal: Toptal is similar to FlexJobs in that it is reserved for top freelancers and top firms wanting to recruit freelance machine learning programmers. This is evident in the hourly pricing given on the site as well as the caliber of the programmers.

Develop a Simple AI App: Creating an app is another excellent approach to generating money using machine learning. You may design a subscription app in which users can pay to access certain premium features. Subscription applications are expected to earn at least 50% more money than other apps with various sorts of in-app sales.

Become an ML Educational Content Creator: You can make money with machine learning online right now if you start teaching people about machine learning and its benefits. To publish and sell your course, use online platforms that provide teaching platforms, such as Udemy and Coursera.

Create and Publish an Online ML Book: You may create a book to provide extraordinary insights on the power of 3D printing, robots, AI, synthetic biology, networks, and sensors. Online book publication is now feasible because of systems such as Kindle Direct Publication, which provides a free publishing service.

Sell Artificial Intelligence Devices: Another profitable enterprise to consider is selling GPS gadgets to automobile owners. GPS navigation services can aid with traffic forecasting. As a result, it can assist car users in saving money if they choose a different route to work. Based on everyday experiences, you may estimate the places likely to be congested with access to the current traffic condition.

Generate Vast Artificial Intelligence Data for Cash: Because machine learning can aid in the generation of massive amounts of data, you can benefit from providing AI solutions to various businesses. AI systems function similarly to humans and have a wide range of auditory and visual experiences. An AI system may learn new things and be motivated by dynamic data and movies.

Create a Product or a Service: AI chatbots are goldmines and a great method to generate money with machine learning. Creating chatbot frameworks for mobile phones in the back endand machine learning engines in the front end is an excellent way to make money quickly. Making services like sentiment analysis or Google Vision where the firm or user may pay after making numerous queries per month is another excellent approach to gaining money using ML.

Participate in ML Challenges: You may earn money using machine learning by participating in and winning ML contests, in addition to teaching it. If you are a guru or have amassed a wealth of knowledge on this subject, you may compete against other real-world machine-learning specialists in tournaments.

Create and License a Machine Learning Tech: If you can develop an AI technology and license it, you can generate money by selling your rights to someone else. As the licensor, you must sign a contract allowing another party, the licensee, to use, re-use, alter, or re-sell it for cash, compensation, or consideration.

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10 Best Ways to Earn Money Through Machine Learning in 2023 - Analytics Insight

Maximus and Amazon Web Services are working to help federal health agencies leverage the power of artificial intelligence and machine learning to address the needs of citizens and support other missions under a strategic partnership.

As an AWS Alliance Partner, Maximus could help health agencies advance their digital modernization plans by providing capabilities and services across the areas of cloud migration, data analytics, cybersecurity and data management, according to an article published Friday on Maximus website.

AI and ML tools could help revolutionize health care, and agencies need industry partners that could provide technology capabilities that could facilitate the adoption of such tools as well as offer cloud platforms that prioritize data security, management and compliance.

According to the article, Maximus Digital Experience Hub helps agencies respond to large volumes of citizen service requests through web-based content management and patient self-service options while leveraging AWS platforms for mobile-responsive web services and mobile applications.

In delivering modernized AWS cloud architectures, Maximus experts enable agencies to better maintain new technology, achieve continuous authorization to operate, and update applications and services quickly as organization and customer needs evolve, the article reads.

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Maximus, AWS Seek to Help Federal Health Agencies Advance AI ... - ExecutiveBiz

Services like Google Translate can help millions of people communicate in over 100 languages. Users can type or speak words to be translated, or even translate text in photos and videos using augmented reality.

Now, computer science professor Andrea Salgian and Ben Guerrieri 26 are working to add one more language to the list: American Sign Language.

Using computer vision and machine learning, the researchers are setting out to create a program to serve as a Google Translate tool for ASL speakers to sign to the camera and receive a direct translation.

Right now, were looking at recognizing letters and words that have static gestures, Salgian said, referring to letters in the ASL alphabet with no hand movement. The program will act more like a dictionary at first. The pair will then develop the automated translation, she explained.

Salgians research utilizes a free machine-learning framework called Mediapipe, which is developed by Google and uses a camera to detect joint locations in real time. The program tracks the users movements, provides the coordinates of every single joint in the hand, and uses the coordinates to extract gestures that are matched to ASL signs.

Computer science major Ben Guerrieri 26 discovered Salgians project shortly after arriving at TCNJ and is now working alongside her in this AI research.

Its such a hands-on thing for me to do, he said of his contribution to the project, which consists of researching and developing the translator algorithms. We get to incrementally develop algorithms that have super fascinating real-time results.

This project is part of Salgians on-going interest and research into visual gesture recognition that also includes applications to musical conducting and exercising.

ASL is a fascinating application, especially looking at the accessibility aspect of it, Salgian said. To make communication possible for those who dont speak ASL but would love to understand would mean so much, Salgian said.

Kaitlyn Bonomo 23

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Computer science research team explores how machine learning ... - The College of New Jersey News