In this article, I describe the various steps involved in managing a machine learning process from beginning to end. Depending on which company you work for, you may or may not be involved in all the steps. In larger companies, you typically focus on one or two specialized aspects of a project. In small companies, you may be involved in all the steps. Here the focus is on large projects, such as developing a taxonomy, as opposed to ad-hoc or one-time analyses.

The Indian Institute of Technology (IIT), Roorkee will be offering two new Masters of Technology (MTech) programmes in Artificial Intelligence (AI) and Data Science from the academic session 2021-22. The programmes will be launched through the recently established Centre for Artificial Intelligence and Data Science (CAIDS) of the institute. Before applying for the programmes, candidates need to register on COAP 2021 portal at coap.iitd.ac.in. As many as 23 faculty members from 15 different departments of the institute have joined CAIDS as joint faculty of the centre. Candidates must have BE/BTech/Integrated MSc or equivalent degree in any engineering course to be able to apply.

Every industry is being transformed by Artificial Intelligence owing to its sophisticated capabilities and thorough data analysis. AI may help organizations in a variety of ways. Because AI is a larger technology, its commercial benefits are limitless. AI is capable of controlling corporate process automation as well as accumulating data analysis findings. Many global corporations are leveraging AI to improve employee and customer engagement. This article will discuss how businesses will use AI in the future year.

IMAGE: Researchers explore the past, present, and future of smart vehicles and what their integration with smart cities would take. Central to any technological progress is the enrichment of human life. The internet and wireless connectivity have done that by allowing not only virtually anyone anywhere to connect real time, but by making possible connections between humans and a range of intelligent devices both indoors and outdoors, putting smart cities on the horizon. One key aspect of realizing smart cities is "smart vehicles", the latest development in intelligent transportation systems (ITS), which involve the integration of communication, mapping, positioning, network, and sensor technologies to ensure cooperative, efficient, intelligent, safe, and economical transportation. For decades, research on bringing to the streets smart vehicles that operate successfully as part of smart city infrastructure has focused on improving computing paradigms for vehicular network connectivity.

If you use such social media websites as Facebook and Twitter, you may have come across posts flagged with warnings about misinformation. So far, most misinformation – flagged and unflagged – has been aimed at the general public. Imagine the possibility of misinformation – information that is false or misleading – in scientific and technical fields like cybersecurity, public safety and medicine. There is growing concern about misinformation spreading in these critical fields as a result of common biases and practices in publishing scientific literature, even in peer-reviewed research papers. As a graduate student and as facultymembers doing research in cybersecurity, we studied a new avenue of misinformation in the scientific community.

Oura is an award-winning and fast-growing startup that helps people track all stages of sleep and activity using the Oura Ring and connected app. By providing daily feedback and practical steps to inspire healthy lifestyles, we've helped hundreds of thousands of people improve their sleep, understand their bodies, and transform their health. We're on a mission to empower every person to own their inner potential, and we're seeking candidates who want to make an impact on our journey. We are looking for a Data Scientist to join our Decision Science team in North America. You will work closely with marketing, product, science and software teams to uncover insights and enable data-driven decision making across all areas of the company.

Between his mom's place in Manhattan, his dad in Queens, and his high school in the Bronx, Noah Getz is on the subway a lot. It gives him time to read and to think. Our first coronavirus summer was waning, and he'd been wrestling with a weighty science problem: using machine learning to hunt down tiny molecules that may help treat Alzheimer's. Thus far, his AI had been spitting out results that were "almost comically bad." The problem was that the algorithms Getz was using did their best when they had massive amounts of data to sift through and discover patterns in. Getz' data set was far smaller; he was working with one lab at Mount Sinai, not a multinational pharmaceutical company with a galaxy-sized drug library.

With ambitions to establish a network of autonomous trucking routes across the US, transport startup TuSimple is taking some steady and significant steps forward as it proves its technology through trials and expands into Europe. The latest test run for its self-driving trucks involved hauling a load of fresh produce over hundreds of miles across the US, where it demonstrated that it can complete such tasks in a fast and highly efficient fashion. Previously, we've seen TuSimple's Level 4 autonomous trucks use its variety of cameras and sensors to move goods as part of trials for the US Postal Service and shipping giant UPS. This time around, the startup has partnered with fresh produce provider The Giumarra Companies and Associated Wholesale Grocers to explore autonomous trucking's potential in the fresh food industry. The trial started in Nogales, Arizona, where TuSimple's truck was loaded up with fresh watermelons from Giumarra's facility.

Google's latest foray into health care is a web tool that uses artificial intelligence to help people identify skin, hair, or nail conditions. The company previewed the tool at I/O today, and it says it hopes to launch a pilot later this year. People can use their phone's camera to take three pictures of the problem area -- for example, a rash on their arm. The tool then gives a list of possible conditions from a set of 288 that it's trained to recognize. It's not intended to diagnose the problem, the company said in a blog post.

The Artificial Intelligence and Machine Learning Market research report is an in-depth analysis of the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview, Artificial Intelligence and Machine Learning market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, Artificial Intelligence and Machine Learning market size forecast, market data Graphs and Statistics, Tables, Bar & Pie Charts, and many more for business intelligence. The up-to-date report of Artificial Intelligence and Machine Learning market presents an in-depth evaluation of all the crucial factors such as key growth drivers, impediments, and opportunities to understand the industry behavior. Moving ahead, insights into competitive landscape with regards to the top firms, emerging contenders, and new entrants is taken into account. Moreover, the document sheds light on the effects of COVID-19 pandemic on this marketplace and puts forth various strategies for effective risk management and strong profits in the upcoming years.