There is no need to raise an alarm over loss of jobs from induction of existing technology, because even more jobs are being created in its wake, says Raveendran Kasthuri, ex-IBMer and Group CEO of the Uralungal Labour Contract Cooperative Society (ULCC), based in Kozhikode, Kerala. Started as a cooperative society by labourers, ULCC has now grown to become one of the largest workers' cooperatives in Asia, at a time when, back home, cooperatives have come under the regulatory scanner for many reasons. As Group CEO, Kasthuri also looks after UL technology Solutions (ULTS), which was established in 2011 to maintain a balance between traditional and modern technologies. It offers a unique mix of traditional values and modern technological insights in its services and helps to formulate and implement comprehensive solutions for clients. ULTS describes itself as a cooperative corporate, with a focus on technology verticals such as Geographic Information System (GIS), Enterprise Resource Planning (ERP), Internet of Things (IoT), Blockchain, Artificial Intelligence (AI) and analytics.

Despite my incessant buzzword bashing, I'll concede this much: it's important to grapple with next-gen tech via experts who actually know what they are talking about. We got an earful on day one of the Constellation Research Connected Enterprise 2019 event. How quantum computing could (someday) break 2048-bit RSA encryption https://t.co/o5EfaqgcZN "New study shows quantum tech will catch up with today's encryption standards sooner than expected" pic.twitter.com/yfOgi9lXoj Still, next-gen tech needs to be held to the fire of project results.

With 100 million Toyota vehicles on the planet emitting greenhouse gases at a rate roughly comparable to those of France, the Toyota Motor Corporation has set a goal of reducing all tailpipe emissions by 90 percent by 2050, according to Brian Storey, who directs the Toyota Research Institute (TRI) Accelerated Materials Design and Discovery program from its Kendall Square office in Cambridge, Massachusetts. He gave the keynote address at the MIT Materials Research Laboratory's Materials Day Symposium on Oct. 9. "A rapid shift from the traditional vehicle to electric vehicles has started," Storey says. "And we want to enable that to happen at a faster pace." "Our role at TRI is to develop tools for accelerating the development of emissions-free vehicles," Storey said. He added that machine learning is helping to speed up those innovations, but the challenges are very great, so his team has to be a little humble about what it can actually accomplish.

This research explores the idea of using different spatial audio formats for training music source separation neural networks. DeepConvSep, a library designed by Marius Miron, Pritish Chandna, Gerard Erruz, and Hector Martel, is used as a framework for testing different convolutional neural networks for source separation. A listening test is then detailed and test results are analyzed in order to perform a perceptual evaluation of the models. Conclusions are drawn regarding the effectiveness of using spatial audio formats for training source separation neural networks. Neural networks for audio seek to enable an artificial intelligence to speak and hear akin to a human.

Digitalization is making a relentless headway and transforming all kinds of industries and economic sectors, as a result of which many companies are assessing the most suitable technologies to invest in. To help them in their decision-making and implementation, the time has come for another IoTSWC (IoT Solutions World Congress), the international flagship event that will bring together more than 350 exhibitors, including the world's leading suppliers of IoT, artificial intelligence and blockchain solutions. It will also host a congress with over 300 speakers who will discuss the benefits of digitalization based on their experiences in different businesses, analyzing the challenges and new implications opening up in this era of smart connectivity. Organized by Fira de Barcelona in partnership with the IIC (Industrial Internet Consortium), the IoTSWC will be held from 29th to 31st October in Gran Via venue in the framework of Barcelona Industry Week. It's the largest international event devoted to the industrial internet and, throughout its history, has complemented its offering with other converging technologies that are accelerating the digital transformation of sectors such as transport, manufacturing, healthcare, energy, utilities, construction, infrastructure, retail, and agriculture, among others.

This post was originally produced for Forbes. "I am on a mission to provide clean and affordable energy to women and girls in African rural communities through the use of modern technologies like AI," says Monique Ntumngia, 29, founder of the Green Girls Organisation working in Sub-Saharan Africa. The organization uses a unique scoring algorithm called MNKB92 to optimize energy strategies for villages where they train women and girls to assemble and sell solar lamps and to deploy biodigesters to create methane for cooking and organic fertilizer for crops. The organization provides the materials for free but receives a 40% cut of the revenue from the sale of fertilizer and solar lamps. The organization helps women find markets for the fertilizer.

A clampdown on video face recognition systems is spreading around major cities, as politicians police and others continue to argue its merits. Meanwhile, a tightening of rules on other AI and smart technologies is on the way. Chatbots are the latest to feel the effect with a Californian law banning bots that fail to identify themselves as such. When any new technology arrives, there are people who want pragmatic laws to protect users and bystanders – think the red flags that had to be waved in front of early cars. There are also crazy laws passed to try and protect vested interests or big business. Look at all the roadblocks thrown in front of solar power and electric cars to keep big oil happy.

With the increasing complexity of modern power systems, conventional dynamic load modeling with ZIP and induction motors (ZIP + IM) is no longer adequate to address the current load characteristic transitions. In recent years, the WECC composite load model (WECC CLM) has shown to effectively capture the dynamic load responses over traditional load models in various stability studies and contingency analyses. However, a detailed WECC CLM model typically has a high degree of complexity, with over one hundred parameters, and no systematic approach to identifying and calibrating these parameters. Enabled by the wide deployment of PMUs and advanced deep learning algorithms, proposed here is a double deep Q-learning network (DDQN)-based, two-stage load modeling framework for the WECC CLM. This two-stage method decomposes the complicated WECC CLM for more efficient identification and does not require explicit model details. In the first stage, the DDQN agent determines an accurate load composition. In the second stage, the parameters of the WECC CLM are selected from a group of Monte-Carlo simulations. The set of selected load parameters is expected to best approximate the true transient responses. The proposed framework is verified using an IEEE 39-bus test system on commercial simulation platforms.

The fifth edition of IOT Solutions World Congress (IOTSWC) draws to a close with high-quality sales contacts and focus on real-world case studies. The 16,000 visitors, who attended the event, organised by Fira de Barcelona in collaboration with the Industrial Internet Consortium (IIC), have witnessed the maturity of the Internet of Things, a key technology in digital transformation and learned from fellow users during three days of the Congress. IoT Solutions World Congress 2019 was co-located with Blockchain Solutions World (BSW) and AI & Cognitive Systems Forums (AI & CS), showcasing new solutions, processes and services to seize the full potential and value of data across many industries. On 2019 IOTSWC brought together 350 exhibitors, including leading companies in the development and implementation of IoT solutions such as Microsoft, SAS, Vodafone, Nutanix, Deloitte, T-Systems, Libelium, Kaspersky, Orange, Siemens, Fiware, Hitachi, Relayr, Thingstream, Zyfra, Emnify, Linux Edge Foundation, Hewlett Packard Enterprise and ARM. This international technological benchmark event exhibited real solutions already being successfully deployed in a range of industry sectors with the aim of raising awareness of the possibilities and benefits of IoT from proven experiences.

Technology, artificial intelligence and automation are supposed to solve our biggest problems, not create new ones or exacerbate existing issues. Unbeknownst to many, big tech is actually putting a huge burden on the environment. In a study assessing the energy consumption required to train several common large AI models, Researchers at the University of Massachusetts Amherst said artificial intelligence emissions can be over 626,000 pounds of carbon dioxide, which is about 5 times as much the lifetime emissions of an average car. According to research firm IDC, spending on AI systems is exploding, with the figure expected to hit nearly $98 billion in 2023, more than 3.5 times the $37.5 billion being spent this year. The U.S. is expected to deliver more than half of that spending through the forecast, which will be led by the retail and banking industries, according to IDC.