A neural network is a particular model that tries to catch the correlation between the features and the target transforming the dataset according to a layer of neurons. There are several books that have been written around neural networks and it's not in the scope of this article to give you a complete overview of this kind of model. Let me just say that a neural network is made by some layers of neurons. Each neuron gets some inputs, transforms them and returns an output. The output of a neuron can become the input of the neurons of the next layer and so on, building more and more complex architectures.

IBM Corp. is pushing the envelope on hybrid cloud and artificial intelligence with a number of key announcements early Tuesday ahead of its Think 2021 event, chiefly aimed at accelerating its customer's digital transformation strategies. One of the main highlights of today's announcements is a new Auto SQL capability within IBM's Cloud Pak for Data offering that automates data access and management without needing to move it first. The company also unveiled a new, AI-based tool for modernizing applications and workloads to run in hybrid cloud environments, plus new AI capabilities in Watson and advancements that should help to scale up quantum computing to more use cases. Available Tuesday, the new AutoSQL capability for IBM Cloud Pak for Data is a big deal because it enables companies to automate access, integration and management of their data no matter where it resides, the company said. IBM said it's addressing one of the most critical pain points customers face as they attempt to reduce the complexity of curating data for AI.

Genuity Science, a genomics and data-sourcing, analytics and insights organization, announced today that Tom Chittenden, PhD, DPhil, PStat, Chief Data Science Officer and Founding Director of the Genuity Science Advanced Artificial Intelligence Research Laboratory, is a winner of the Artificial Intelligence Excellence Awards presented by the Business Intelligence Group. The awards identify organizations, products, and people who bring AI to life and apply it to solve real problems. Chittenden and team were recognized for the use of novel, biologically-validated and published AI capabilities to address key areas of risk and opportunity at virtually any point in the drug development process. Despite the COVID-19 pandemic, Chittenden and Genuity Science continued their goal of using genetics to help understand diseases in new ways so that they can be treated in new ways. This past year, in collaboration with Professor Michael Simons and his team at Yale University Medical School, the Genuity Science Advanced AI Research Laboratory used a new generative AI approach to discover, in mice studies, a novel pathobiological mechanism that causally underpins aortic aneurysm.

As in other sectors, the use of artificial intelligence (AI) will become increasingly important in the print media industry in the next few years, driving further print shop automation and firmly establishing new digital business models on the market. Heidelberger Druckmaschinen AG (Heidelberg) has launched a new subscription business model that is shaping the industry. One key element of this model is process consulting, which aims to fully utilize the potential of the equipment and software solutions being used, while also improving print shop processes. The highly specialized experts Heidelberg requires to achieve this goal regularly work with customers both on site and online, but their availability is limited. The growing demand for performance consulting services under the subscription model, and also in general, is driving the automation of the actual consulting process using AI.

WIRE)--Procore Technologies, Inc., a leading provider of construction management software, today announced it has acquired INDUS.AI, makers of an artificial intelligence-powered analytics platform for the construction industry. This acquisition adds computer vision capabilities to the Procore platform, helping owners, general contractors, and specialty contractors realize greater efficiencies, safety, and profitability. Terms of the transaction are not being disclosed. The construction industry is undergoing a digital transformation. While this transformation is producing mountains of previously inaccessible data, up to 96% of construction data goes unused.

China is shaping up to be the first real test of Big Tech's ambitions in the world of carmaking, with giants from Huawei Technologies Co. to Baidu Inc. plowing almost $19 billion into electric and self-driving vehicle ventures widely seen as the future of transport. While Apple Inc. has long had plans for its own car and Alphabet Inc. has Waymo, its autonomous driving unit, the size -- and speed -- of the move by China's tech titans puts them at the vanguard of that broader push. The lure is an industry that's becoming increasingly high tech as it pivots away from the combustion engine, with sensors and operating systems making cars more like computers, and the prospect of autonomy re-envisioning how people use will them. As the world's biggest market for new-energy cars, China is a key battlefield. Established automakers like Volkswagen AG and General Motors Co. are already slogging it out with local upstarts such as market darling Nio Inc. and Xpeng Inc.

PHILADELPHIA--(BUSINESS WIRE)--The Business Intelligence Group today announced that Bright Machines was named a winner in its Artificial Intelligence Excellence Awards program. Bright Machines is a full-stack technology company offering a new approach to AI-enabled manufacturing. The company's flagship solution, Bright Machines Microfactories, combines intelligent software and adaptive robotics to automate repetitive assembly and inspection tasks, enabling manufacturers to quickly deploy autonomous assembly lines that can scale based on market demand. In less than three years, they have achieved strong momentum across multiple industry verticals, particularly with customers seeking to re-shore manufacturing and accelerate product innovation. "Our mission from day one has been to enable our customers to increase the speed, scalability, and flexibility of their manufacturing process. By applying advanced machine learning, computer vision, 3D simulation, and cloud computing to the factory floor, we can bring new levels of innovation and productivity to their operations," said Amar Hanspal, Bright Machines CEO and co-founder.

You will be redirected once the validation is complete.

Mumbai (Maharashtra) [India], May 7 (ANI/NewsVoir): Since the dawn of the 2000s, Artificial Intelligence (AI) has been making waves through its penetration into various sectors. While AI helps increase efficiency and speed in a system, the lack of feedback when faced with errors has been a glaring concern. Recently developed Explainable Artificial Intelligence (XAI) technology tackles this issue by analyzing data to provide users with explanations for given issues and activities. Utilizing this technology to create investment strategies, Elystar aims to increase net returns by reducing machine/AI-made errors and thereby successfully leveraging the superior insights provided by AI. "Artificial Intelligence in finance is a relatively new concept that is still being explored and experimented upon. While few of the firms experimenting are sparingly using it for short-term trading, we have spent the past 15 months developing models to use it for long-term investments. One simple way to look at this concept is to compare it with Microsoft Excel. While Excel is used in different fields and by different people, it is used in various ways and forms. Similarly, AI has a number of variations in which it can be utilized, so no two approaches may be completely the same. AI not only helps us scale and analyze data rapidly, but the integration of Explainable AI allows us to understand and eliminate unwarranted biases to create a sound investment strategy," said Dr Satya Gautam Vadlamudi, Founder and CEO of Elystar.

ElectrifAi, one of the world's leading companies in practical artificial intelligence (AI) and pre-built machine learning (ML) models, today announced that it has achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This designation recognizes that ElectrifAi has demonstrated deep experience and expertise in building or integrating practical ML solutions on AWS. AWS Partners recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions to drive business optimization, customer revenue growth and cost reduction. This is done by creating, automating, and managing end-to-end ML workflows with machine intelligence. The AI and ML driven applications are maturing rapidly and creating new demands on enterprises.