5G AND ITS IMPACT ON THE INTERNET OF THINGS

The Internet of Things (IoT) is rising as the number of connected devices is set to increase from 700 million to 3.2 billion by 2023. While there are a number of factors contributing to this rise, one of the most important will be the development of 5G networks.

The upcoming launch of the fifth generation of cellular mobile communications or 5G is great news for the IoT market. This is primarily due to the fact that 5G networks will go a long way towards improving the performance and reliability of these connected devices. Here’s why.

Data Transfer Speeds

The commercial success of any IoT is ultimately tied to its performance, which is dependent on how quickly it can communicate with other IoT devices, smartphones and tablets, software in the form of its app or website, and more. With 5G, data-transfer speeds will increase significantly.

According to reports, 5G will be 10 times faster than current LTE networks. This increase in speed will allow IoT devices to communicate and share data faster than ever.

Greater Network Reliability

In addition to the increase in speed, 5G networks will operate more reliably creating more stable connections. Having a reliable and stable network condition is extremely important for any IoT, but especially for connected devices like locks, security cameras, and other monitoring systems that depend on real-time updates.

With the ability of a 5G network to handle more connected devices, consumers will benefit from greater reliability of their connected devices.

The high-speed connectivity, very low latency, and greater coverage that will arrive with the next-generation network will be key for IoT devices. To take advantage of these improvements, manufacturers must first invest in building 5G-compatible devices.

Manufactures must equally embrace quality assurance testing to ensure their new devices and software function and perform as intended across a variety of conditions. If not, many new devices will flop as a result of bugs that will reduce the potential gains that 5G has to offer.

Intel Core HX Processors

12th Gen Intel Core HX Processors Launch as World’s Best Mobile Workstation Platform

Today at Intel Vision 2022, Intel announced seven new mobile processors to the 12th Gen Intel® Core™ mobile family. The 12th Gen Intel® Core™ HX processors utilize desktop-caliber silicon in a mobile package – to deliver high levels of performance for professional workflows like CAD, animation and visual effects. The HX processors are unlocked out of the box and available in Core i5, Core i7 and Core i9 models.

Why It Matters

Professionals and creators need more processing power and greater platform bandwidth to iterate content faster. This enables businesses and production agencies to better meet milestones and budgets of fast-paced working environments. The 12th Gen Intel Core HX processors enable the best mobile workstation platforms by providing 64 percent more performance in multi-threaded workloads¹ with more cores, more memory and more I/O while utilizing Intel® Thread Director technology to leverage high-power Performance-cores and Efficient-cores so pros can create, program, render and work with maximum efficiency in the office, at home or on the go. In addition to being a commercial workhorse, 12th Gen Intel Core HX processors provide a gaming powerhouse platform that will give enthusiast gamers higher frame rates for the games they know and love.

About the HX Processors

The 12th Gen Intel Core HX processor family delivers real-world productivity, collaboration, content creation, gaming and entertainment in innovative mobile designs:

Up to 16 cores (8 Performance-cores and 8 Efficient-cores) and 24 threads running at a processor base power of 55W.
Access to x16 PCIe Gen 5.0 via the processor and 4×4 PCIe Gen 4.0 from a dedicated platform controller hub (PCH) for increased bandwidth and faster data transfers.
An industry-first unlocked and overclockable series of mobile processors.
Memory support for up to 128GBs of DDR5 (up to 4800MHz) and DDR4 (up to 3200MHz) with Error Correcting Code (ECC) capability.
Designs with Intel® Wi-Fi 6/6E (Gig+)² for improved connectivity and access to the new 6 GHz Spectrum.

Artificial intelligence and Machine learning

Artificial intelligence is a field of computer science which makes a computer system that can mimic human intelligence. It is comprised of two words “Artificial” and “intelligence“, which means “a human-made thinking power.” Hence we can define it as,

The Artificial intelligence system does not require to be pre-programmed, instead of that, they use such algorithms which can work with their own intelligence. It involves machine learning algorithms such as Reinforcement learning algorithm and deep learning neural networks. AI is being used in multiple places such as Siri, Google?s AlphaGo, AI in Chess playing, etc.

MACHINE LEARNING

Machine learning enables a computer system to make predictions or take some decisions using historical data without being explicitly programmed. Machine learning uses a massive amount of structured and semi-structured data so that a machine learning model can generate accurate result or give predictions based on that data.

Machine learning works on algorithm which learn by it?s own using historical data. It works only for specific domains such as if we are creating a machine learning model to detect pictures of dogs, it will only give result for dog images, but if we provide a new data like cat image then it will become unresponsive. Machine learning is being used in various places such as for online recommender system, for Google search algorithms, Email spam filter, Facebook Auto friend tagging suggestion, etc.

Technologies in Computer Science

Robotics

What is Robotics

Robotics is a field that studies and develops robots in order to make life easier. Robotics is a multidisciplinary field that includes computer science, electrical engineering, and mechanical engineering. Artificial intelligence, machine learning, and other computer science technologies are used in robotics.

In industries such as manufacturing, farming, and food preparation, robots attempt to improve safety and efficiency. Robotics are used to build cars, do dangerous activities such as bomb dispersal, and perform intricate procedures.

Career Opportunities:

Robotics Engineer
Algorithm Engineer
Data Scientist
Software Engineer
Robotics Research Scientist