There have been a lot of groundbreaking inventions took place, from solving healthcare issues to enhancing EdTech to reliable robotics.
The COVID-19 pandemic has introduced unprecedented challenges for the nation’s healthcare systems and communities across the globe. And to solve the problem, scientists and researchers and medical staff have banded together to understand the virus and find new ways of developing treatments – with one of the new tools in the market, i.e. Artificial Intelligence (AI). For the last few years, AI is being increasingly used to solve some of healthcare’s most critical issues – from unlocking the power of medical records, to relieving doctors and nurses from repetitive tasks to enhancing surgical precisions and many more.
Ground-breaking Inventions in Artificial Intelligence
1. AI in Healthcare
Artificial Intelligence simplifies the lives of patients, doctors and hospital administrators by performing tasks – which is generally done by humans but AI performs the tasks in less time and at a fraction of the cost.
Here is AI’s most recent breakthrough in Healthcare – Machine Learning enables AlphaFold systems to determine protein structures in days – as accurate as experimental results that might take months or years. DeepMind, a division of Alphabet, has solved one of the most difficult computing challenges in the world – predicting how protein molecules will fold. It can help to understand important biological processes in treating diseases like COVID-19.
How will it be helpful in the future?
This Protein Fold structure could be useful in future pandemic response efforts, as one of many tools developed by the scientific community. AlphaFold is one of the most significant advances to date. AI can contribute to basic scientific discovery, with the hope of making a real-world impact. It will help us to understand how our body works, enables scientists to target and design new, effective cures for diseases more efficiently.
2. AI in EdTech
Day by day, Artificial Intelligence is becoming part of our everyday lives. COVID pandemic has disrupted multiple sectors across the globe – and one of the worst hit sectors turns out to be the education sector. Within no time, all educational institutes had to switch to e learning. While an increasing number of EdTech firms are offering online learning solutions to the students, the challenge remains the same – of acknowledging and responding to the emotional nuances of students in a similar manner to that of face-to-face interaction. Intelligent tutoring systems, which employ algorithms to mimic the behaviour of a human tutor to accurately identify a learner’s difficulties. Moreover, it will provide relevant feedback, which can be used by schools to teach subjects such as language, math, geography, chemistry, etc.
How will it be helpful in the future?
Emotion AI comes with the ability to collect and analyse student response data. Moreover, the physical student-faculty engagement can be successfully replaced. It increases the scope for developing a curriculum that will help to rethink the education system to go beyond merely applying AI to reinforce existing pedagogical practices of the transmission-model of education.
3. AI in Facial Recognition
Recently, Reallusion and Generated Photos together launched a solution that will convert AI-generated face photos into fully animatable 3D digital doubles, which can be used to create crowds for films, games, archviz, visualizations and many more. There are 2.6 million royalty-free human faces generated by AI. From AI-generated faces to AI-generated humans.
Even, the AI leader is bringing holiday magic to every home with a virtual Santa. By combining innovative technology and passion for connecting people with the magic of Christmas. StoryFile has created a first ever Santa Hologram – which will be answering all the answers like human Santa does.
How will it be helpful in the future?
Reallusion’s toolset transforms 2D headshots into 3D full body humans. So all the generated photos will provide creators with a massive variety of faces, from where they can select the right persona by the age, gender, ethnicity, physical features, or image similarity.
4. AI in Remote Piloting
A start-up named Reliable Robotics, developed an autonomous flight technology – which is not fully automated, there is still a pilot required to be behind the scenes. Enabling remote piloting and automating certain aspects of flight has tremendous potential to drive down costs and improve efficiencies.
How will it be helpful in the future?
Automated aircrafts are going to fundamentally shift the entire airline business, and Reliable Robotics is well positioned to be a key player in this new market.
Conclusion
Throughout the year of 2020, there have been a lot of groundbreaking inventions. AI-generated tools are making Christmas shopping and celebration easy this year. This Christmas everyone is talking about AI, Machine learning or data science, not so shocked as it has already been quite a few years since even Gartner and Harvard Business Reviews had said that the question was not if you should be using ML but rather how quickly you should adapt to the technology. Organizations that are working with AI and ML have on an overage, four AI/ML projects in place.
