“Tencent Cloud, the cloud computing arm of internet giant Tencent, is stepping up its artificial intelligence focus with an eye on the burgeoning growth, profit opportunities for the sector in China.
The cloud computing service provider on Wednesday launched a series of new AI products that seek to lower the skill barriers for enterprise customers.
‘The blossoming AI, big data and other digital technologies over recent years strongly point toward an inevitable trend of intelligent upgrade of industries,’ said Wang Long, vice-president of Tencent Cloud. ‘Companies yearn for more sophisticated AI application scenarios to generate new momentum for industrial development.'”
“BMO has introduced a new AI-powered personal financial management solution tool called ‘BMO Insights’ that will be a part of the bank’s mobile app. The tool uses artificial intelligence to give customers personalized, automated and actionable insights to help them manage their finances and cash flow.”
“Apple acquired a U.K. company, Spectral Edge, that specializes in machine learning-technology that helps improve smartphone photos.
Spectral Edge uses a type of A.I. called machine learning to make smartphone pictures crisper, with more accurate colors. Its technology takes an infrared shot and blends it with a standard photo to improve the image.”
“The AI Index Report tracks, collates, distills, and visualizes data relating to artificial intelligence.
Its mission is to provide unbiased, rigorous, and comprehensive data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI.
The 2019 edition tracks three times as many data sets as the 2018 edition. To help navigate the data, we’ve produced two tools. The Global AI Vibrancy Tool compares 28 countries’ global activities across 34 indicators, including both a cross-country perspective, as well as a country-specific drill down. The AI Index arXiv Monitor helps people conduct their own research into current technological progress in AI.
The AI Index Report is comprised of nine chapters:
Research and Development
Examines bibliometrics data, including volume of journal, conference and patent publications and their citation impacts by world regions. We also present Github Stars for key AI software libraries, and gender diversity of AI researchers based on arXiv.
Outlines data from a variety of sources on AI conferences. Specifically, we dive into event attendance, summaries of conference topics, and policy milestones achieved.
Tracks technical progress in tasks across Computer Vision (Images, Videos, and Image+Language), Natural Language, potential limitations (Omniglot Challenge), and trends in computational capabilities.
Covers three specific topics: jobs, investment, and corporate activity. We present both global and US-specific data relating to AI jobs, hiring, and skill levels. We also analyze startup investment trends for the world, by country, and by sector. The final section includes data on adoption of AI capabilities in industry and presents global trends in robot installations across countries.
Investigates trends in education and AI. This includes analyzing global data in machine learning (ML) and AI training and digging into trends in gender and international diversity for AI PhD’s. We also examine efforts to integrate ethics into computer science curricula and look at global trends in undergraduate enrollment in introductory ML and AI courses.
Analyzes data around autonomous vehicles (AV’s) and autonomous weapons (AW’s). We highlight countries and cities testing AV’s and present known types of autonomous weapon deployments.
Covers public perception of central banks, global governments, and the corporate world. We analyze data on how central banks communicate around AI, investigate AI mentions within the US Congress and Canadian and UK Parliaments, and examine AI-related terms mentioned on US earnings calls. We also dive into US web search data for AI-relevant phrases.
Examines ethical challenges, global news on AI ethics, and AI applications for sustainable development. We present ethical challenge data by looking across ethical AI guidelines and also examine news coverage around AI’s ethical use. This section also maps AI use cases to the UN’s Sustainable Development Goals.
National Strategies and Global AI Vibrancy
The National Strategies metrics looks at official strategy documents issued by countries. The Global AI Vibrancy Tool, as mentioned above, covers 28 countries across 34 metrics grouped into three high-level dimensions of AI starting in 2015: research and development, economy, and inclusion.”
“JPMorgan Chase & Co. Chief Information Officer Lori Beer said artificial intelligence could help the bank develop new products and services for helping people build retirement savings, among other things.
About 25% of working Americans say they have no retirement savings at all and 44% worry that their saving isn’t on track, according to a recent Federal Reserve survey.
The bank, the country’s largest by revenue, processes $6 trillion in payments daily and has relationships with about half of U.S. households.
It stores about 390 petabytes—or 390 million gigabytes—of data”