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  Giant tech IBM has developed a powerful AI-powered chip with the ability to process images 22 times faster than the one that's currently in the market. According to IBM report, the chip architecture is based on a faster and energy efficient AI. Semiconductors play vital roles in nearly everything ranging from computing, to other electronic appliances, to communication gadgets, transportation systems, and even the critical infrastructure. The era of AI, Cloud Computing and Internet of Things has seen the rise of chip performance and energy efficiency. IBM researchers have created a computer chip, christened as NorthPole, that integrates the data it uses and the processing module. The research team confided that their study was inspired by the way human brain functions. The chip accomplishes its task by deploying a 2-dimensional array of memory blocks and interconnected CPUs. The architecture permits the computing cores to communicate directly with distant blocks in an easier way

  Semiconductors are substances that exhibit both electrical conductivity and electrical non-conductivity. How useful is a Semiconductor? They are mostly deployed in computers among other electronic appliances. They are an important component of electronic devices owing to their ability to control and manage the flow of an electric current. Semiconductors can be compounds like gallium arsenide, or pure elements like silicon or germanium. Semiconductors, also referred as Micro Chips or Integrated Circuits, are tiny fragments of Silicon and related raw materials altered through doping so that they can sometimes conduct electricity and sometimes not. Doping entails the addition of small amounts of impurities to the pure substances with the aim of causing changes in their electric conductivity. Micro Chips use a binary language that only recognizes 0s and 1s thus allowing them to be used as electric switches . Semiconductors are used in the manufacture of various electronic devices such a

Artificial Intelligence (AI) is gaining traction and proving to be a problem solver to many human related tasks. As population across the globe surge, the number of vehicle owners is drastically on the rise. Giant tech Google is striving to deploy Maps in guiding road users to avoid using “confusing lane changes or freeway exits”. In a Google blog dubbed “A smoother ride and a more detailed map thanks to AI”, Google explains how maps will be used to identify and predict when people are striking the brakes. The AI product is tailored to use the available information and AI to detect hard-breaking events. The Giant tech believes that their product will help to eradicate “more than 100 million hard-braking events in routes that are driven with Google Maps every year” and enable drivers to be cautious at certain places. Understanding Google Maps Google Maps are essential to the extent that they assist individuals to explore, navigate and make things done in an easier and mana

What used to happen in movies is about to be achieved in reality, as Tesla and Space X CEO Elon Musk is on the process to develop a direct interface between human brain and computing devices. The main aim of his project is to merge human beings with AI. Very soon human freedom will be a thing of the past as governments or giant corporations will be able to control people’s brains using cloud and Artificial Intelligence (AI). Musk launched Neuralink Corp in July 2016 with the aim to create “ultra-high bandwidth brain-machine interface to link humans to computers." The initial goal of his project was to assuage signs of chronic medical conditions.  The futurist billionaire announced the plan to connect human brains to computers, on July 2019. He had planned to implant the first prototype by the end of 2020. Musk started testing his program on animals and he confirmed that a monkey was able to control the computer with its brain. In 2020 Neuralink broadcasted a live demon

The major challenge affecting major Cities across the globe is increased car ownership which is directly construed to augmented traffic accidents. Artificial Intelligence (AI) is one of the components of technology that can be used to curb traffic accidents in towns and cities.  The technology involves an algorithm that can predict a coming object or person and alert the driver to stop. This can be achieved through radar-based communication. Researchers from the Universitat Oberta de Catalunya (UOC) have harnessed technology that will make it safer to travel in Cities. According to a pitch posted on the UOC portal , artificial intelligence can be used to detect patterns by analyzing images of a specific area to encourage the design of safer public spaces. In a study that have prioritized the safety of pedestrian and vehicles, the researchers delved between the intricacies of selected urban regions and the probability of an accident to happen there. They collected data that

Gone are the days when images with missing parts could never be reconstructed with realistic approach. NVIDIA AI team came up with innovation that can predict and fill missing parts of a photo with realistic results. At least 55,000 incomplete images of different sizes and shapes were generated to train the deep neural network. The team unveiled its state-of-the-art deep learning model in 2018 that has the ability to edit images through reconstruction of incomplete parts. In order to train their deep neural network, the research team generated over 55,000 masks of different sizes and shapes. They then used 25,000 masks with holes to test the dataset. For the enhancement of accuracy, the holes were categorized into six divisions based on the input images. Nvidia’s AI imaging technique can edit and reconstruct images, even if its parts are completely erased. Before Nvidia’s innovation, Adobe Photoshop was widely used to recreate images. Unlike Adobe Photoshop, Nvidia’s techni

Facebook AI is seeking an alternative approach to ensure fairness in decisions made by machine learning systems. The tech giant explores a distinct method to apply algorithmic fairness techniques to complex and large-scale production systems. In a research paper dubbed “Fairness on the Ground: Applying Algorithmic Fairness Approaches to Production Systems,” the Company reconnoiters the expertise of integrating fairness applications into complex and large-scale production systems meant to benefit other disciplines facing similar problems. The research conducted by Facebook AI construes statistical measures of fairness such as calibration and equality of odds to reasonable practical approach. The research isn’t the first one to identify the challenges facing complex systems. According to Facebook AI team, “the challenges of bias in supervised machine learning models are most likely to be studied problem in algorithmic fairness.”  In conclusion, the study presented a holistic

Google Cloud and NVIDIA NGC have revolutionized customer experience by innovating technologies that help to augment employee productivity, improve customer engagement and generate more revenue. Enterprises across different industries are rapidly adopting natural language process (NLP) solutions such as chatbots and audio transcription to upgrade consumer engagement, improve workers’ productivity and drive revenue progression. Chatbots, Audio Transcription Definitions Chatbot is a software program that is automated to conduct online chat conversations through text or text to speech. The technology helps to add convenience for customers. Audio transcription refers to the process of converting speech from audio file into written text.  Challenges Facing NLP The main challenge facing NLP is that it must comprehend the fundamental background of script without unambiguous rubrics in human language. Developing an AI-powered solution from the beginning to the end is a daunting ta

During the pandemic, tech industry reaped big resulting to dramatic technological upheavals. 5G, chatbots, cloud computing and edge computing were some of the tech applications that were on high demand in 2020. Therefore 2020 acted as a precursor of major innovation. 1. Autonomous Ride-Hailing : it is an application that determines the future of uber as it offers a menu of services to get people and services around. Self-driving vehicles were deployed in parts of the US, where vehicles picked and dropped passengers without a human driver. 2. Deep Learning , also referred as deep neural network, is a subset of machine learning in artificial intelligence (AI) that mimics the functioning of human brain in transforming data and developing patterns for decision making. Deep learning is essential in big data sourced from search engines, social media and e-commerce platforms among many others. The data is then shared through fintech applications such as cloud computing. Deep lea

Amazon Web Services (AWS) has rolled out a detailed virtual free training and certification events slated to be held on March. According to AWS, the training is meant “to leverage the power of AWS cloud.” The training targets those who are interested in developing foundational cloud knowledge and those seeking to dive in the technical field. The virtual events will train participants on the following: AWS technical essentials, strategies and tools to perform large-scale migrations, securing your AWS Cloud, machine learning basics, how amazon sagemaker can help, AWS Cloud practitioner essentials and AWS Cloud Practitioner. AWS Technical Essentials will be held on March 01 and  targets individuals who articulate technical benefits of AWS services to customers, individuals who have interest in learning how to get started with AWS, SysOps, solution architects and Developers Online training for Strategies and Tools to Perform Large Scale Migrations will be held on March 5 and

Machine learning (ML) refers to a set of tools that can be used to facilitate making predictions and decisions based on existing data. ML tasks are based on available data that is observed through instructions or experiences. DataCamp Data Scientist Dr Hugo Bowne-Anderson defines ML as “the science and art of giving computers the ability to learn and make decisions from data without being explicitly programmed.” ML can be used in real business to forecast customer attrition. Often businesses are required to analyze market trends and map a better way to predict customer churn. In the era of big data and machine learning, predicting consumer abrasion is not a walk in the park. Businesses are increasingly becoming data-driven making it essential for the adoption of data visualization to make it easier to analyze. Machine learning entails collecting data, cleaning it, training the algorithm and then applying it. To make work easier it’s advisable for businesses to apply four m

Apart from spurring productivity, studies of service sector robots in Japan indicate that robot adoption have helped to mitigate turnover problems among workers and augmented some employment chances among both regular and non-regular employees in the care service. Professionals believe that robots could lessen challenges that face both long term workers in the care sector and the ageing population. Robots have been assumed as a poor substitute to the several tasks demanding deftness and compassion, but Japan has adopted robots to address the shortage of care workers in relation to the surging demand for enduring care services. The plummeting number of care workers in Japan is attributed to the physical consequences like lower back pain and yet their wages is almost at par with the minimum wage. Robots have proven to be the best alternative to the plunging number of care providers, as they can assist in offering basic services such as bathing, toileting and eating. According

Google launched cinematic photos on December 2020 to help people remember some of their most precious moments. Cinematic photos can transform a single 2D photo that was taken in the past “into a more immersive 3D animation.” The conversion of 2D to 3D images involves simulating camera movement and parallax by inferring 3D depictions in an image. Just like the past computational photography, cinematic photos require a depth map for the provision of information regarding the 3D structure of a scene. The technology that sustains depth estimation on smartphone relies on a geometry method and a multi-view stereo to concurrently capture multiple images at different viewpoints in order to solve for the depth of objects. Google AI trained a convolutional neural network to activate cinematic photos on pictures that were not captured in multi-view stereo. The process used an encoder-decoder architecture to speculate a depth map drawn from “a single RGB image.” Median filtering wa

As the world continues to be pervaded by rapid technological advances characterized by increased automation and demand for cloud storage, there has been a notion that human work is set to be displaced with artificial intelligence (AI). According to a report published on Forbes Magazine , Stanford is planning to host an event dubbed: “Intelligence Augmentation: AI Empowering People to Solve Global Challenges.”  The imminent function was prompted by the misguided belief that AI will drive many individuals jobless. Several AI researchers have advanced the narrative that “AI will supplement humans rather than substituting them.”  “AI is going to bring humans and machines closer together. It is not about machines replacing humans. Humans and machines have different relative strengths and weaknesses, and it’s about the combinations of these two that will allow human intents and business process to scale,” business leader Robin Bordoli was quoted by the Forbes Magazine. Bordoli’s

An engineer from Edinburg has developed a robotic glove that uses artificial intelligence (AI) to strengthen muscle grip . The idea came into inception after Ross O’Hanlon pitied his aunt who suffers from multiple sclerosis.  O’Hanlon is quoted by BBC saying that: “Being an engineer, I decided to use technology to tackle the challenges ahead with the aim of helping people like my aunt to retain their autonomy.” His aunt struggled to do simple tasks like changing the TV channel or handling a glass of water. The glove will help many individuals with hand weaknesses. The wearers intention to grip is detected by the glove through a process referred as electromyography (EMT). EMT measures the electrical process that is developed in response to simulation of the muscle by the nerves. An algorithm is then deployed to convert the intention to grip into force, enabling the person with hand weakness to hold an item or do some other tasks. According to BBC, about 2.5 million of people

Scientists have proposed an algorithm that can detect human emotions. The outcome is based on facial expressions and eye movements displayed from optical or video cameras. The ingenuity involves using wireless signals for emotion states recognition. The research was conducted on 15 participants, whose heartbeat and breathing signals were recorded using radio waves. Then Deep Learning analysis and Machine Learning analysis was deployed for detection of emotional states. Analysis was based on the deployment of machine learning techniques where they used an algorithm to identify and classify emotional states within the data. Deep learning proved to be most effective method in detecting emotions than traditional machine learning techniques. Four basic emotion types like sadness, anger, pleasure and joy were detected. Researchers were able to draw their conclusions based on the signals caused by body movements. Analysis of body movements showed hidden information about a person

Soon you will be able to use AI system to train your dog to stand or sit. Jason Stock and Tom Cavey, who are researchers from Colorado State University, have published a report on how to train artificial intelligence (AI) to reward dogs that will respond to certain commands. The two computer science graduate students modeled image classification networks in a way that it could determine whether a dog was standing, sitting or lying down. The machine would then dispense a treat to a dog which will respond to the command through the adoption of the right posture. The treat will be served via a servo motor. The students deployed Nvidia Jetson edge AI platform for real-time trick recognition and treats. They required dog images that displayed the three aforementioned postures. At least 20,000 images of varied sizes depicting the dogs in numerous positions were used in the research. Nvidia told Venture Beat that: “It doesn’t yet work remotely; it is currently for in-person. But

A surging technological breakthrough in Artificial Intelligence (AI) and robotic process automation (RPA) has augmented demand for process mining tools. Technology investment has seen a recent enterprise gush, something that was accelerated by the global pandemic. Process mining refers to the process of discovering, monitoring and improving processes the way they are and not the way they are perceived to be. The procedure involves the extraction of information from event logs that are made available through the updated information systems. The technology is used to capture activities in robotics that develops visualizations of the end-to-end process through the transformation of data into an event log. The process mining tool is a type of software that is used by organizations to easily capture information from enterprise transaction systems , provide detailed reports of the relevant processes and record information. Process mining encompasses mining data logs from applica

Softbank : The Company is based in Tokyo Japan and provides telecommunications, fixed-line mobile telephony, internet and digital television products. Softbank was launched by Masayoshi Son and Oketani Taku in 1981. Alibaba Founder Jack Ma is among the 18 board members of Softbank. Tencent Holdings : It’s a Chinese multinational Company that deals in online games and is based in Guangdong China. The technology firm that was found in 1998 by Ma Huateng, Xu Chenye, Zeng Liqing, Zhang Zhidong and Chen Yidang is the largest video games vendor in the world. It also offers services like social network, payment systems, e-commerce and online advertising services among others. Calendly : The Company is based in Atlanta, Georgia in the United States of America and was launched in 2013. Its founder was Tope Awotona . Calendly deals in automated scheduling to accomplish certain tasks. Crowdcube – The equity crowdfunding company is based in Exeter, Devon in the United Kingdom. It’s

Artificial Intelligence (AI) is one of the emerging technologies that are largely deployed in the health care industry. AI is a broad-based term that includes machine learning , deep learning and natural language processing to accomplish “smart tasks” that we mostly associate with human beings.  The technology augments human skills to perform the most complex problems , while offering insightful data. However, AI in health care poses unique data challenges. In medicine, AI is empowered to use deep learning and machine learning algorithm to emulate human skills in the analysis, understanding and display complex medical report. According to IDC research, healthcare industry records a larger amount of data that continues to grow as time goes by. US Patient Protection and Affordable Care Act exacerbated the challenges related to data privacy due to adoption of electronic records that contain the information about patients. Companies like Pfizer , IBM and Salesforce use the