Africa
Chinese firms are driving the rise of AI surveillance across Africa
Artificial intelligence technology is proliferating fast across the world and is being deployed in applications from speech recognition to deepfake videos and monitoring traffic congestion. It's also increasingly being used to monitor and track citizens, according to a new report. At least 75 out of 176 nations surveyed globally are actively using AI technologies for surveillance purposes, according to the Carnegie Endowment for International Peace. These include facial recognition systems, smart policing tools, and the establishment of safe city platforms. The leading vendors of these systems globally are Chinese firms, led by Huawei, which has supplied these technologies to at least 50 states worldwide.
Healthcare Artificial Intelligence Market Opportunity Analysis, Vendor Landscape, Growth, Developments & Forecast 2019-2025, DEEP GENOMICS, Next IT Corp., General Vision, Google, NVIDIA Corporation, IBM Watson Health – Market Expert24
As the application of artificial intelligence (AI) in the field of drug development increases, market growth is greatly favored. Artificial intelligence (AI) is called engineering and science adopted to design intelligent machines, such as intelligent computer programs. A system that applies multiple human intelligence-based functions, such as learning, reasoning, and problem-solving skills in areas such as computer science, biology, linguistics, mathematics, and engineering. Artificial intelligence is regarded as the next boundary of medical innovation. Healthcare's AI is implemented to align structured and unstructured data.
Microsoft releases 18M building footprints in Uganda and Tanzania to enable AI Assisted Mapping
In the last ten years, 2 billion people were affected by disasters according to the World Disasters report 2018. In 2017, 201 million people needed humanitarian assistance and 18 million were displaced due to weather related disasters. Many of these disaster-prone areas are literally "missing" from the map, making it harder for first responders to prepare and deliver relief efforts. Since the inception of Tasking Manager, the Humanitarian OpenStreetMap Team (HOT) community has mapped at an incredible rate with 11 million square kilometers mapped in Africa alone. However, large parts of Africa with populations prone to disasters still remain unmapped -- 60% of the 30 million square kilometers.
Global Artificial Intelligence (AI) in Fintech Market 2019 Emerging Growth Opportunities – Autodesk, IBM, Microsoft, Oracle, SAP, Fanuc, Hanson Robotics, – OnYourDesks
Global Artificial Intelligence (AI) in Fintech Market 2019 by Company, Regions, Type and Application, Forecast to 2024 presents the conceptual study and strategic analysis on global Artificial Intelligence (AI) in Fintech market which provides market scope, applications, and geographical presence which drive the market. The report gives an intensive investigation of the notable driving elements that are recognized considering the end-client requests, variable market changes, and limiting components. The report analyzes, tracks, and presents the worldwide market size of the key players in each region around the world. The present competitive landscape, prevalent business models, and advancements in the coming years are evaluated in this report. An in-depth approach about the global Artificial Intelligence (AI) in Fintech market players will help all market players in analyzing the recent market trends and essential commercial enterprise strategies. The study provides an acknowledged and extensive analysis of the immediate state of the market.
Elearning, LMS, Online courses & tutorials in Abuja Nigeria
Every student success is dependent on an accommodating, secure, challenging and academically robust learning environment. Life Learners E-Store is one the leading online store for the latest ICT Gadgets. At Life Learners, our Training program and courses are aimed at increasing knowledge in various ICT fields so as to develop a community of certified professionals. Life Learners eLearning platform offers up-to-date practice tests on UTME, NECO & WAEC as well as professional job interviews.
KT and WeDo Technologies Collaborate on Using Artificial Intelligence to Detect Fraud
AI-IRSF is an AI system that prevents a fraud that involves hacking of IP-PBX (IP telephony exchange) to generate illegal calls to international numbers. With this Cooperation Agreement, KT will develop and supply more AI based FMS modules to integrate with WeDo's Fraud and Risk Management system. Additional AI based modules will also run on the WeDo's system, and the modular capability of RAID will allow CSPs to choose from different fraud detection models for their market similar to how one chooses applications from a smartphone app store. The open architecture of RAID will also allow other CSPs to develop their own models as well. WeDo Technologies is part of the Mobileum group, a leading enterprise software and analytics company in roaming, security, fraud and risk management serving more than 700 telecommunication providers in more than 180 countries.
Startup Bay Labs Uses AI for Heart Disease Diagnosis NVIDIA Blog
And humans need health screenings, especially for the heart. That's because heart disease is the leading cause of death worldwide. With deep learning, heart disease diagnosis is becoming easier and more accessible -- which in turn can improve treatment and patient outcomes. Echocardiograms -- ultrasound tests that generate images of the heart -- are used to detect and manage heart disease cases. An echo, as it's commonly called, is also used as an assessment tool for specific populations, such as chemotherapy patients, because of their increased risk of heart failure.
Handwritten Amharic Character Recognition Using a Convolutional Neural Network
Gondere, Mesay Samuel, Schmidt-Thieme, Lars, Boltena, Abiot Sinamo, Jomaa, Hadi Samer
Amharic is the official language of the Federal Democratic Republic of Ethiopia. There are lots of historic Amharic and Ethiopic handwritten documents addressing various relevant issues including governance, science, religious, social rules, cultures and art works which are very reach indigenous knowledge. The Amharic language has its own alphabet derived from Ge'ez which is currently the liturgical language in Ethiopia. Handwritten character recognition for non Latin scripts like Amharic is not addressed especially using the advantages of the state of the art techniques. This research work designs for the first time a model for Amharic handwritten character recognition using a convolutional neural network. The dataset was organized from collected sample handwritten documents and data augmentation was applied for machine learning. The model was further enhanced using multi-task learning from the relationships of the characters. Promising results are observed from the later model which can further be applied to word prediction.
Artificial Intelligence has a gender bias problem -- just ask Siri
Suggest to Samsung's Virtual Personal Assistant Bixby "Let's talk dirty", and the female voice will respond with a honeyed accent: "I don't want to end up on Santa's naughty list." Ask the same question to the programme's male voice and it replies "I've read that soil erosion is a real dirt problem." In South Africa, where I live and conduct my research into gender biases in artificial intelligence, Samsung now offers Bixby in various voices depending on which language you choose. The voices of Julia, Lisa and Stephanie are coquettish and eager. John is clever and straightforward.
Artificial Intelligence in Supply Chain Market Competitive Scenario, Financial Overview, and High-Profit Margins – Business Intelligence
The demand for artificial intelligence has grown significantly in the last few years due to the advantages it provides. Rising use of big data, growing demand for greater transparency and visibility into supply chain data and processes, and increasing adoption of AI for improving consumer services and satisfaction are some of the other factors driving the demand in this market. Moreover, growing applicability of AI in various industries has further augmented the demand in this market. The global artificial intelligence in supply chain market could be classified on basis of technology, application, end-user industry, and offerings. The end-user industry category can further be segmented into manufacturing, aerospace, automotive, retail, consumer packaged goods, healthcare, food and beverages, and others.