Over the last two years, the auto industry has experienced a great deal of turbulence. From the begin of the pandemic when dealerships have been pressured to shut down, to a huge bounce back in car purchases in the last year. But possibly the most surprising section was once the evolution and velocity at which auto retailers, dealerships and producers pivoted to digital options in order to serve their customers.

Medical technologies are products, services or solutions that save and improve people’s lives. In addition to advanced medical technologies, healthy activity and nutrition play important roles in our daily healthcare.

Edge computing will grow in importance as manufacturers see the development of the Industrial Internet of Things (IIoT). The interconnected factory, designed for manufacturing automation, will become an essential corporate goal.

4.0 Automation technologies, through the IIoT (Industrial Internet of Things) connect, control and monitor networks of manufacturing and processing machines, devices, robots and cloud information in real time via Cloud Monitoring. This allows them to learn, operate and function automatically, minimizing human intervention and optimizing production.

Through machine learning and neural networks, AI technologies power self-driving car systems that can drive autonomously. A self-driving car is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator. To qualify as fully autonomous, a vehicle must be able to navigate without human intervention to a predetermined destination over roads that have not been adapted for its use.

Technology supports and drives innovation. Technological advancements allow manufacturers to create higher quality goods, increase production speeds, lower expenses, and realize more efficient operations to become more competitive.

Robotic process automation (RPA) is a technology that mimics the way humans interact with software to perform high-volume, repeatable tasks. RPA technology creates software programs or bots that can log into applications, enter data, calculate and complete tasks, and copy data between applications or workflow as required.

With the rise of global awareness of environmental protection, the development of new energy sources to replace the old power generation methods has become one of the important development goals of governments in various countries. One of the least polluting methods of generating electricity is with solar energy.

3D printed end-use parts are going onto vehicles with increasing frequency. Recent real-world examples showcase additive manufacturing benefits in design, weight savings and more.

While fitness tech has been one of the fastest-growing sectors in the world since 2016, the pandemic might just have triggered the sharpest growth in the industry yet. Digital fitness trends will shape the next decade. Fitness providers were also beginning to identify the demand for virtual training and recognize the potential of online services which are giving rise to an era of technology-driven fitness.

The effectiveness of health care systems is highly dependent on the use of advanced, cutting-edge solutions. With increased public interest, involvement, and funding, the health care industry has become more and more open to new technologies. The use of Augmented Reality (AR) & Virtual Reality (VR) in healthcare seems to be a natural fit. These technologies offer viable solutions to many of the challenges facing health care systems, including numerous diverse opportunities for implementation in areas such as general diagnostics and medical training.

As we head into 2022, with the semiconductor industry still dealing with the global ripple effects of the chip shortage, there are several other key trends dramatically shifting the landscape of this industry. In this post, we’ll take a look at these trends and discuss what we can expect over the coming year.

In a very simply sense, Information and Communications Technology (ICT) is a variety of technologies that facilitate communications. ICT is often used to describe the convergence of several technologies, and the use of common transmission lines and communication formats to transfer diverse data types.

Governments are actively promoting the development of regional semiconductor supply chains. AI combines emerging technologies and applications such as the Internet of Things, automotive electronics, and compound semiconductors to drive the growth momentum of the semiconductor industry.

From cars to computers, coffee machines to children’s toys, almost everything we use on an everyday basis is produced by manufacturers. So manufacturing is often described as a key building block of society. Manufacturing has evolved over the centuries, from human-centered methods to machine-reliant assembly lines to the highly automated factories we’re beginning to see more of today. As industry continues to evolve, numerous trends are combining to transform manufacturing. These quickly developing new trends have emerged so fast that they have been referred to as “Industry 4.0.”

The global chip shortage, now dragging into its second year, has shaken the electronics industry to its core, crimping the world's ability to build everything from cars to consumer goods and raising prices, and there are a lot of variables complicating the recovery.

This may seem like a simple question, but that confuses many people. It is also, one of the most popular issues discussed on Quora. So, we are going to delve into this question and see if we can shed some the light on the main differences between IT and Telecommunications.

A textile machine is any one of the machines used for taking natural fibers or chemical fibers and making them into textiles. Different fibers like cotton, hemp, hair, etc., have different kinds of processing required to change them into textiles, therefore a variety of different “textile machines” are used to perform these processes.

Machine learning is the application of artificial intelligence to imitate the way that humans learn. It is a scientific study that uses data, algorithms and statistical models to give computer systems the ability to automatically learn and improve from experience, so that they can perform specific tasks without being explicitly programmed. Data science is a broad field that includes the capturing and processing of data, analyzing it, and deriving insights from it. One area of data science is data mining which involves finding useful information in a dataset and utilizing that information to uncover hidden patterns. In this article, we will look at a few machine learning and data science start-ups that are worth keeping an eye on.

For many people working in hazardous environments and confined spaces, the correct respiratory protective equipment (RPE) is critical to maintaining health and safety and protecting lives. Respiratory protective equipment provides indispensable protection.