Our weekly news stand, This Week In Digital brings you another update, about all the technological headways that have happened in the past week. Find out the latest developments in the worlds of Blockchain, AI, and Cloud among others.
AI In Software Testing: Will A Bot Steal Your Spot? – Ruslan Desyatnikov, Forbes, December 17, 2018.
Development teams no longer have the luxury of time they had when monthly product launches were the gold standard. Today’s enterprises demand weekly releases and updates that trickle in even more frequently. With technology becoming more granular and delivery timespans narrowing to stratospheric intervals, software testers are increasingly expected to close their feedback loop with the developers in real time. The push is accelerated by the rise in agile methodology, developers of which require an instant response to ensure constant changes aren’t alienating users.
Google & MediaTek are partnering on AR and Lens visual search – December 17, 2018.
MediaTek and Google are collaborating to bring Google AR and Lens visual search tool to MediaTek Helio P90-powered smartphones. MediaTek has worked closely with Google to pre-test ARCore on its Helio P90 chipset to provide OEMs, developers and users a superior experience. The P90 sets itself apart due to its incredibly powerful AI hardware (APU 2.0), enabling developers and smartphone designers to build new experiences never before possible. The P90 was built to optimize processor performance for a more sustainable user experience, even during power-intensive tasks like AR applications that require a mix of CPU, GPU, AI, storage and camera all working together seamlessly. ARCore brings powerful Augmented Reality (AR) capabilities to Android smartphones, so developers can build captivating mobile AR experiences that transform the way people play, shop, learn, create and experience the world together.
The Amazing Ways TD Bank, Canada’s Second-Largest Bank, Uses Big Data, AI & Machine Learning – Bernard Marr, December 18, 2018.
Over the last five years, TD’s Innovation, Technology and Shared Services team has rolled out the “Googlefication” of the business. Essentially this has meant transforming it from a finance company into a tech company – and managing the cultural shift that this entails. It started with an idea that moving to a Big Data environment over the relational database infrastructure that had previously been in place. A tall order, on the face of it, but one that started with a fairly simple premise. By moving to a data-lake infrastructure, and switching to providing data-as-a-service functions, TD Bank effectively democratized access to the information it gathers and stores as part of its business. These include transactional records and customer service interactions – enabling it to act far more quickly on data-driven insights.
Microsoft Launches Intelligent Cloud Hub To Upskill Students In AI & Cloud Technologies – Analytics India Magazine, December 20, 2018.
In an attempt to build an AI-ready workforce, Microsoft announced Intelligent Cloud Hub which has been launched to empower the next generation of students with AI-ready skills. Envisioned as a three-year collaborative program, Intelligent Cloud Hub will support around 100 institutions with AI infrastructure, course content and curriculum, developer support, development tools and give students access to cloud and AI services. As part of the program, the Redmond giant which wants to expand its reach and is planning to build a strong developer ecosystem in India with the program will set up the core AI infrastructure and IoT Hub for the selected campuses. The company will provide AI development tools and Azure AI services such as Microsoft Cognitive Services, Bot Services and Azure Machine Learning.
Artificial intelligence in the world of software testing – December 21, 2018.
As a relatively new and ever-growing technology, the definition of ‘Artificial Intelligence’ (AI) is constantly evolving. While various analysts and experts across the globe have come up with their own interpretations, the general definition is that AI learns using data, using a ‘human-like’ ability to understand environments and contexts. Although currently used in a variety of sectors, from analysing facial expressions to processing natural language, AI has become more of a ‘buzzword’ in the news in recent years. Scaremongering about ‘robots taking our jobs’ is common, especially referring to industries where manual, repetitive tasks are essential components. Despite this scepticism, software and test engineers have always wanted to automate everything, and there are some genuine benefits to be gained from the technology. So, how can businesses leverage the power of AI in their software testing, and what place do humans have in this process?
Researchers expose biases in datasets used to train AI models – Kyle Wiggers, December 21, 2018.
Artificial intelligence (AI) has a bias problem. Word embedding, a common algorithmic training technique that involves linking words to vectors, unavoidably picks up — and at worst amplifies — prejudices implicit in source text and dialogue. A 2016 study found that word embeddings in Google News articles tended to exhibit female and male gender stereotypes, for instance. Fortunately, researchers are making headway in addressing it or at least exposing the problem’s severity. In a paper published on the preprint server Arxiv.org (“What are the biases in my word embedding? “), scientists at Microsoft Research, Carnegie Mellon, and the University of Maryland describe an algorithm that can expose “offensive associations” related to sensitive issues like race and bias in publicly available embeddings, including supposedly “debiased” embeddings.
Blockchain to become the next big disruptive force in auto sector – December 23, 2018.
A majority of global automotive sector executives believe that blockchain technology will become a disruptive force in the industry within the next three years, according to a study. Although the industry is still in very early stages of adopting the technology, the study by IBM Institute for Business Value in collaboration with Oxford Economics said blockchain has the potential to strengthen trust and collaboration among businesses, consumers and even vehicles.