Individualistic western societies are built on the idea that no one knows our thoughts, desires or joys better than we do. And so we put ourselves, rather than the government, in charge of our lives. We tend to agree with the philosopher Immanuel Kant's claim that no one has the right to force their idea of the good life on us. Artificial intelligence (AI) will change this. It will know us better than we know ourselves.

As roles and tasks shift in tandem with the expansion of new technologies, and the division of work between human and machine is redrawn, it is of critical importance to monitor how those changes will impact the evolution of economic gender gaps. Artificial Intelligence (AI) is a prominent driver of change within the transformations brought about by the Fourth Industrial Revolution (4IR), and can serve as key marker of the trajectory of innovation across industries.19 In partnership with the LinkedIn Economic Graph Team, the World Economic Forum aims to provide fresh evidence of the emerging contours of gender parity in the new world of work through near-term labour market information. The increasing expansion of AI is creating the demand for a range of new skills, among them neural networks, deep learning, machine learning, and "tools" such as Weka and Scikit-Learn. AI skills are among the fastest-growing specializations among professionals represented on the LinkedIn platform.

This article explains how Machine Learning Operations came to be a discipline inside many companies and things to consider when deciding if your organization is ready to form an MLOps team. Machine learning (ML) is a subset of artificial intelligence in which computer systems autonomously learn a task over time. Based on pattern analyses and inference models, ML algorithms allow a computer system to adapt in real time as it is exposed to data and real-world interactions. For many people, ML was, until recently, considered science fiction. But advances in computational power, frictionless access to scalable cloud resources, and the exponential growth of data have fueled an increase in ML-based applications.

As VP of Operations at BairesDev, Damián is responsible for the entire customer relations life-cycle, safeguarding the company's operations. There was a time when digital transformation was just another to-do item in most businesses' agendas. After the Covid-19 outbreak, those days came to a forceful halt. Now, every company out there is looking for ways to accelerate digital transformation. Based on my experience in the IT industry, I can comfortably say that these three technologies can drive the trajectory of the digital economy and accelerate digital transformation for businesses across industries.

Over the past few decades, software has been the engine of innovation for countless applications. From PCs to mobile phones, well-defined hardware platforms and instruction set architectures (ISA) have enabled many important advancements across vertical markets. The emergence of abundant-data computing is changing the software-hardware balance in a dramatic way. Diverse AI applications in facial recognition, virtual assistance, autonomous vehicles and more are sharing a common feature: They rely on hardware as the core enabler of innovation. Since 2017, the AI hardware market has grown 60-70% annually, and is projected to reach $65 billion by 2025.

Invasion of technology in the business sector is a developing aspect. Business agencies are looking for ways to broad base their financial stability through improving technology. When the business sector is looking for quick solutions and progress, they are ready to put forward the idea of making data assets to transformational technologies like Artificial Intelligence (AI) and machine learning, and automation. The data assets when computerised by the automation process are considered as a safe haven to business. They nullify the risk of leaving behind or the slow process of data. Emerged over the last few years, analytics stood as a core capability for business with a data-driven decision making culture.

The Defense Information Systems Agency awarded a $106 million contract to Deloitte Consulting to build the Pentagon's artificial intelligence hub's AI development platform, the U.S. Department of Defense announced Aug. 12. The company will "design and build" the Joint Artificial Intelligence Center's Joint Common Foundation, a capability that DoD AI leadership has stated will be integral in developing, testing and fielding AI capabilities. The contract has a one-year base period worth $31 million with three option years through August 2024. Work is scheduled to start Aug. 17, according to Lt. Cmdr. "The Joint Common Foundation will provide an AI development environment to test, validate and field AI capabilities at scale across the Department of Defense," Abrahamson said. "The impact of the JCF will come from enterprise‐wide access to AI tools and data for AI developers across the Department and its partners that will help synchronize AI projects, reduce development redundancy and enable the broad deployment of AI-enabled solutions to the tactical edge where front line operators can benefit from these capabilities."

Artificial intelligence and machine learning can teach us about the future. In today's Academic Minute, the University of Alaska Fairbanks' Falk Huettmann explores the benefit to the public good from these technologies. Huettmann is an associate professor of wildlife biology at Fairbanks. A transcript of this podcast can be found here.

Welcome to General Intelligence, OneZero's weekly dive into the A.I. news and research that matters. War robots today take just too much darn time to control. I know it, you know it, and the U.S. Army knows it. That's why its research branch is cooking up a system that would allow soldiers to give orders to small robotic cars by speaking naturally, as opposed to using specific commands. The robots would be able to understand the soldiers' intent and complete the given task, according to an Army press release.

Dozens of startups, as well as some public companies, are fueling a boom in artificial intelligence that is increasingly automating certain functions of businesses or their products.The Information has learned the revenue and growth figures for some of the highest-profile AI startups (see ...