Technology News - IoT and Machine Learning

 In the rapidly evolving landscape of the  2025 global technology sector , capital is more than just currency—it is the ultimate metric of dominance. In this high-stakes arena, significant funding does not merely keep the lights on; it signals unshakeable market confidence, fuels aggressive international expansion, and sharply distinguishes the true industry titans from the dreamers. As we navigate a pivotal year for innovation, the startup ecosystems of  Europe   have emerged as critical powerhouses, challenging Silicon Valley and attracting record-breaking levels of venture capital. We have conducted an exhaustive analysis of these three diverse yet explosive markets to bring you a definitive, data-driven guide to the  Top 20 Startups of 2025 . This ranked list goes beyond the hype, organizing the region's most influential companies strictly by their  market valuation  and  total funding magnitude . From a staggering  $75 billion fintech de...

  Without a doubt, our smartphones have taken control of our lives. We are dependent on them for anything from ordering food to socializing, booking a trip to access any information. Today, no one can underestimate the power of smartphone applications. Thus, we have compiled some of the most innovative smartphone applications for you in the following. 5 Most Innovative Smartphone Applications in 2021 Below, you are going to find some of the most innovative smartphone applications in 2021. Moreover, they are all free! We highly recommend installing and trying these applications to witness the advancement in smartphone application technology. We have listed 5 innovative smart phone applications below, selected by our editor: 1. Vestiaire Collective 2. Vera: Plant Care Made Simple 3. Bear 4. Verishop – Social Shopping              5. Eyeware Beam Vestiaire Collective This amazing application meets the buyers and sellers. However, unlike regular ...

Top 5 Most Popular Programming Languages in 2021 If you are planning to learn to program, then we believe this guide will be an amazing source for you. We have covered everything that you need to know about the popular programming languages. Although, the programming language you need to use may vary depending on your purpose, this list will still be beneficial for you. Considering that the following programming languages are widely used in industry, learning one or two of these languages will greatly help you find fantastic job opportunities all over the world. Moreover, software programming and engineering jobs are the best options for the people who want to work from home (WFH) and home office. Software Engineer and Programmer What are the Best Programming Languages to Find a Great Job? We here present the obviously best programming languages that will also dominate the markets in 2022. It is still not too late to learn any of them since they will be around for at least a decade a...

Commercial electromagnetic simulation (EM) software packages such as CST Microwave Studio and  ANSYS HFSS are widely used in commercial applications and educational purposes. Based on my experience, they provide very accurate results which match measurements in most antenna works. On the other hand, there are also very solid opensource software and applications which may also provide similar results in some applications. Antennas are also used in radio telescopes While commercial EM software suits usually have very good documentations, easy-to-use interference, and result visualisation and navigation tools, opensource EM software suits might consist of only the solver and documentation which explains how it should be used and implemented for design and simulation via an interference and a programming language such as Python, MATLAB, C++ . As they are opensource, it is also possible to edit their codes and advance their functions and performance. Thus, these features makes openso...

While initial 5G communication standards have been released and 5G networks have been implemented in some cities around the world, some research groups at world-leading universities and tech-giant companies have already started conducting research on the sixth-generation (6G) communication networks. Although 6G standards are expected to be available in around 2030, there are some speculations what could be included and supported in 6G networks. The major expected technologies or techniques in 6G:  Of course, 6G will support all available technologies in 5G such as  machine-to-machine communication, massive internet of things (massive IoT), enhanced mobile broadband (eMBB),  Ultra-Reliable and Low Latency Communications (URLLC), Flexible network operations. Enhanced network operations which are supported by machine learning applications to improve data-rate, energy-efficiency and flexibility. It will also support vehicles and drones to  enable intelligent transpo...

In this article, we are going to review the most common and valuable machine learning algorithms which are frequently applied in the industry, academy and research. Note that some algorithms may have many subcategories or derivations since machine learning and artificial intelligence have been actively and extensively studied and utilised nowadays. This article will present a categorical overview of these fundamental algorithms and briefly explain each of them. In the succeeding articles, each algorithm will be deeply explained and their implementations will be exhibited.  Machine learning (ML) algorithms are generally considered in two main categories as follows; Supervised Learning Methods Unsupervised  Learning Methods Supervised Learning Methods  Supervised learning techniques create logical connections or maps between input and output data. Therefore, these types of methods usually require a significant amount of labelled data for training. After that, th...

I think the first question which must be answered clearly while starting teaching artificial intelligence and machine learning should be about the difference between them. AI - Artificial Intelligence is a comprehensive concept that stating that the computers can learn, think and decide what they should do by themselves in every situation. However, fully AI concept is not possible at the moment as various operations such as image recognition, playing a game, creative thinking etc. require different algorithms which are striving to solve specific problems and tasks. ML - Machine Learning is the specific application of AI, which is mostly relying on learning based on historical data to analyze future data and decide using these analyzes. It can be categorized into supervised and unsupervised learning. Former one utilizes the labelled data to train the machine learning core (brain) and the latter one uses an agent in order to solve the problems. Machine l...