Time series models predominantly, over the years, have focussed on individual time series via local models. This changed with the popularisation of deep learning techniques. This was also supported by the increase of temporal data availability, which led to many deep learning-based time series algorithms. Due to their natural temporal ordering, time-series data are present in almost every task that is registered, taking into account some notion of ordering. From electronic health records and human activity recognition to acoustic scene classification and cyber-security, time series is encountered in many real-world applications.

Water management issues are at the center of environmental debates taking place across the globe. Irrational distribution, leakages, contamination, and overuse of groundwater are some of the biggest challenges associated with the water management industry. Today, industry leaders are exploring AI development services for water management systems to mitigate the water crisis using AI and IoT devices. Together, these technologies provide effective mechanisms to monitor water quality, detect leakages, analyze demand, and streamline global water management. This blog post explores and highlights some AI use cases for the diverse water industry. Today, the availability of real-time data generated by IoT devices is encouraging global leaders to invest in AI development services for water management and monitoring systems.

The US Department of Energy (DOE) has decided to provide funds up to $40 million over a three-year period for new research in data, artificial intelligence (AI), and machine learning to address the challenges associated with issues related to data production and management at DOE scientific user facilities. Dr. Chris Fall, Director of DOE's Office of Science, said: "Major scientific facilities at our DOE national laboratories are generating vast and growing amounts of data for researchers every day. Proposals are likely to cover a wide variety of different challenges, including extracting information from complex data sets, managing facility operations in real-time, and optimising experiments through the creation of virtual laboratory environments, among other topics. The funding opportunity focuses on 18 DOE Office of Science user facilities, comprising of particle accelerators, accelerator test facilities, x-ray light sources, neutron scattering sources, and nanoscale science research centres, overseen by three major programme offices: basic energy sciences, high energy physics, and nuclear physics. According to the latest Ericsson Mobility Report, data volumes in mobile networks are increasing at an exceptional rate and mobile data traffic is expected to grow fourfold by 2025, reaching up to 160 exabytes per month.

OpenAI Gym is a well known RL community for developing and comparing Reinforcement Learning agents. OpenAI Gym doesn't make assumptions about the structure of the agent and works out well with any numerical computation library such as TensorFlow, PyTorch. The gym also provides various types of environments. In this hands-on guide, we will develop a tic-tac-toe environment from scratch using OpenAI Gym. To start with, let's create the desired folder structure with all the required files.

Here's how you can still get a free Windows 10 upgrade You can still use Microsoft's free upgrade tools to install Windows 10 on an old PC running Windows 7 or Windows 8.1. No product key is required, and the digital license says you're activated and ready to go. Like previous years, 2018 featured a bevy of buzzword-laden technologies, but we at ZDNet are fatigued by the never-ending stream of acronyms. With that fatigue in mind, we put together a simple test for the year in technology. What technologies talked about today will actually matter in a decade? Here's a look at the technologies compiled by Larry Dignan, Chris Duckett, Jason Hiner and Steve Ranger from 2018 that will matter as well as a few that simply didn't make the cut.

Earlier this week, five organisations released an open dataset – CORD-19 – containing nearly 30 000 scientific articles with the hopes that artificial intelligence will be able to use the data and combat the spread of COVID-19 infections. These articles have previously been published in journals, or were saved on pre-print servers. CORD-19 is short for COVID-19 Open Research Data set. The CORD-19 dataset was released after the Trump administration issued a "call to action" for the tech community to develop AI (artificial intelligence) techniques to curb the spread of COVID-19 infections. In addition, Michael Kratsios, US Chief Technology Officer at The White House, explained that "decisive action from America's science and technology enterprise" was needed to prevent, detect, treat and develop a cure for COVID-19.

Earlier this week, five organisations released an open dataset – CORD-19 – containing nearly 30 000 scientific articles with the hopes that artificial intelligence will be able to use the data and combat the spread of COVID-19 infections. These articles have previously been published in journals, or were saved on pre-print servers. CORD-19 is short for COVID-19 Open Research Data set. The CORD-19 dataset was released after the Trump administration issued a "call to action" for the tech community to develop AI (artificial intelligence) techniques to curb the spread of COVID-19 infections. In addition, Michael Kratsios, US Chief Technology Officer at The White House, explained that "decisive action from America's science and technology enterprise" was needed to prevent, detect, treat and develop a cure for COVID-19.

More and more, across the globe, the effects of global warming are being felt. Global movements like Extinction Rebellion have repeatedly caused disruption by protesting in cities around the world and are symbolic of the growing attention being paid to this important issue. Despite the boom in public awareness, methods to combat the issue have been slow to develop – separating rubbish into recycling and general waste is as far as the majority of households go. More advanced technology, such as solar panels and wind turbines remain out of reach to many due to their high cost and space required for installation. However, another technology may have a far bigger impact in the fight against climate change.

Shamus Rae, CEO of tech start-up Engine B, and Kirstin Gillon, Technical Manager in ICAEW's IT Faculty, consider the progress made by AI within finance. Shamus Rae (SR): I look at AI hitting the profession in three stages. Stage one is the different focus on play. The second stage is about process efficiency, and the third one is driving business model change and the service delivery of a specific service like audit. Different firms are at different stages of using AI.

According to Sanjeev Malhotra, CEO of NASSCOM- CoE For IoT & AI, he is currently building an innovation ecosystem for IoT & AI startups in India, working with large enterprises, SMEs, government and VCs. For the weekly interview column, Analytics India Magazine connected with Sanjeev Malhotra, CEO at the Centre of Excellence For IoT & AI at NASSCOM. Having spent many years leading product strategy, development and global operations in large and mid-size companies, Sanjeev's domain has spanned many different areas of mobile internet software, e-commerce, SaaS, server technologies, IoT and connected devices. According to Sanjeev Malhotra, he is currently building an innovation ecosystem and driving co-innovation with larger enterprises, SMEs and startups for the largest technology industry body in India. Working closely with the Indian government, Nasscom's CoE- IoT & AI focuses on emerging technologies like artificial intelligence, IoT, robotics etc. and their application in auto, manufacturing, healthcare, agriculture, retail, fintech, etc. AIM: What is your role here at NASSCOM in terms of fostering technologies like IoT and AI? Sanjeev Malhotra: Emerging technologies are growing and developing at an incredible pace, and there are so many things that are important to harness completely.