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Python may sound complex for the faint-hearted. Be assured folks, it is a simple programming language with numerous benefits. Wondering what they might be? Read on to know the real-world applications of python.

• Desktop GUI

Python allows access to Tkinter which can help developers create better user interfaces. Popular toolkits that come with python programming include Kivy, PYQT, wxWidgets, etc.

• Web development

The development and deployment of web-based applications are relatively superfluous with python programming. Common-backend logic allows the easier integration of SSL, FTP, HTTPS, etc. The processing of E-mail, XML, and JSON is much faster with python.

• Gamming applications

Interactive games can become a reality with python. Arguably most famed gaming developers rely on python to develop trending gaming applications. Disney’s Toontown Online, Vega Strike, etc.

• Artificial Intelligence & Machine learning

Most AI users rely on python due to its simplicity. Users can simply understand solutions after they become versed with the code.

• CAD applications

Computer-Aided Designing has become notorious due to its complexity. However, with python, the applications of Python become a lot easier.

• Embedded applications

Using python, developers can model Embedded C software for embedded applications. Thereby, higher-level applications can be created easily through python.

Artificial intelligence is holding huge potential for 2021. Though the ongoing COVID pandemic had altered life situations, the possibilities for AI are endless for the upcoming year. Presently, innovative technologies like IoT, robotics, big data have set their sights on AI.

                  Other than the huge potential of AI in the technology sector, AI will have a huge impact on business undertakings. AI can expand the organizational working of the firm through customized manufacturing, holographic meetings, and simulative environments.

                   Rohan Amin, the CIO of Chase sets high hope for AI in 2021. According to him, “In 2021, we will see more refined uses of machine learning and artificial intelligence across industries, including financial services. There will be more noteworthy incorporation of AI/ML models and abilities into numerous business operations and processes to drive improved insights and better serve clients.”

Trends in AI

• The artificial intelligence of things (AIoT)

         The artificial intelligence of things (AIoT) combines AI and the Internet of Things (IoT) to improve the data connectivity of devices. Simply put, AIoT makes lives easier for users. Technologies like smart office technology allow users to make critical decisions at the snap of their fingers.

• Hyperautomation

         The integration of AI with robotic process automation will transform upcoming digital applications. The ongoing pandemic scenario has proven the necessity of automation in workplaces. Since hyper-automation is an up-gradation of automation,

• Cybersecurity AI

          Cybersecurity has become an increasing concern as technologies are updated. Therefore, sophisticated technological inventions like cybersecurity AI can improve the dynamics of security and privacy.

• AI-enabled chips

            The processing power requirements of AI devices are much more complicated than non-AI devices. 2021 will see the production of AI chips that can fulfill the requirements of AI devices.

Latest updates in AI

             Thanks to AI, researchers could only roll out vaccines for human testing, mere three months after initial COVID case reports. Researchers were able to process specifications of the COVID virus with innovative AI technology. AI has improved the rollout of robotaxis and helped enable automatic driving. Well, AI has sure lot more to offer in 2021.

Augmented reality (AR) helps users experience a different sense of digital reality with enhanced user experience. Examples of AR include Snapchat lenses and the game Pokemon Go. 

Virtual reality (VR) takes users into a complete immersion experience where they lose all sensory experiences of the physical world and enter a virtual experience. VR devices like HTC Vive, Oculus Rift or Google Cardboard, takes users into a different environment which gives them a varied user experience.

In a Mixed Reality (MR) experience, both AR and VR, real-world and digital objects interact to give users an otherworldly digital experience. Mixed reality technology is becoming prominent with Microsoft’s HoloLens.

Extended Reality (XR) is an umbrella for all technologies that improve user senses. XR can provide additional information about physical environments or take users to experience totally unreal, simulated worlds. Examples for XR technology include, Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) technologies.

Purdue’s new technology is all set to replace the age-old Morse codes. Reportedly, Purdue’s new technological breakthrough will modernize optical digital storage. This innovation provides extensive data storage along with quicker data read technology. The new research has already been published in Laser & Photonics Reviews.

Reportedly, Purdue innovators rely on the angular position of tiny antennas, to encode data. This allows them to store more data per unit area.

"The storage capacity greatly increases because it is only defined by the resolution of the sensor by which you can determine the angular positions of antennas," said Alexander Kildishev, an associate professor of electrical and computer engineering. "We map the antenna angles into colors, and the colors are decoded, added Kildishey, who is part of Purdue’s College of Engineering.

"Our metasurface basedoptical storage' is just like that," said Di Wang, a former Ph.D. student who fabricated the prototype structure. "Whereas in our demo prototype, the information is 'burnt in' by electron-beam lithography, it could be replicated by a more scalable manufacturing process in the final product."

"You can put four sensors nearby, and each sensor would read its own polarization of light," Kildishev said. "This helps increase the speed of readout of information compared to the use of a single sensor with dots and dashes."

This technology already has widespread future applications. The faster readout rate and extensive storage of Purdue’s new invention are extremely beneficial to cryptography and security tagging. To further the research prospects, the team is in the pursuit of potential partners.

Researchers rely on Artificial Intelligence to improve patient outcomes for dialysis patients. The device works by optimizing blood flow in veins. A team of researchers from London's Imperial College conducted the study. Researchers used computer modeling techniques to test unsteady currents in the blood flow of dialysis patients. Earlier, this same computer modeling technique evaluated the impact of unsteady air pockets flows over a plane.

Blood optimization is critical to achieving the end outcomes for dialysis patients. Hemodialysis is a lifesaving procedure that improves the life expectancy rates of patients with acute kidney diseases. The new AI breakthrough will revolutionize medicine’s outings on dialysis. 

This machine will need a special junction between an artery and a vein in the patient's wrist or upper arm. The junction, arterio-venous fistulae (AVF), will be critical in the AI initiated procedural. The journal, Physics of Fluids, published the study. Reportedly, the researchers took inspiration from the modeling techniques used in the aerospace industry. The researchers employed machine learning algorithms to train computers.

Meanwhile, the AI optimized the shape of AVF to improve the unsteadiness in blood flow. The prototype device, developed to hold the AVF in the optimal shape, has undergone preliminary tests in pigs. According to the researchers, the pigs test for the device has come successful.

AVF is a critical component that dialysis patients rely upon to improve life expectancy.  However, dysfunction and failure in the AVF complicate patient outcomes for dialysis patients. According to the researchers, AVF failure is the ranks as the top risk factor to hospital admissions and extra operations.

“This technology offers great promise for these patients. By improving outcomes from AVF surgery, it could reduce the need for repeated operations, which could and lead to better quality dialysis," said Richard Corbett from Hammersmith Hospital in the UK.