Autonomous and semi-autonomous trucks promise to help an industry facing a shortage of drivers and increasing e-commerce demand, but they need to demonstrate efficiency for logistics adoption. Einride AB, which has been developing electric and autonomous trucks, today launched its Intelligent Freight Mobility Platform. The system is intended to help logistics fleet managers and drivers plan routes and loads, track shipments, and monitor energy efficiency. In February, Einride began recruiting the first remote operators for its trucks. The Stockholm-based startup also announced the beta of the Intelligent Freight Mobility Platform.

The development of systems for robot-assisted surgery is difficult, with the need to meet stringent clinical requirements, get regulator approvals, and keep costs under control. Today, Titan Medical Inc. announced an agreement with Medtronic PLC to advance the design and development of surgical robots. The onetime rivals also signed a licensing agreement regarding some of Titan's intellectual property. Under the agreement, both companies can develop robot-assisted surgical systems in their respective businesses, while Titan will receive a series of payments that reach $31 million in return for Medtronic's license for the technologies. The payments will arrive as milestones are completed and verified.

In your experience, is AI creating a better world around us? AI is certainly creating a more seamless world around us by adding a new dimension to our daily lives. The UAE Strategy for Artificial Intelligence launched in 2017 has encouraged wider and coordinated adoption of AI technologies. The National Artificial Intelligence Strategy 2031 also aims to fulfill key objectives, including employing artificial intelligence in vital areas such as education, government services, and community wellbeing, to improve the quality of life of citizens. We are already seeing a positive impact as a result of these initiatives in the customer service industry, which is increasingly turning to AI to manage its growing needs. Mobile apps are now designed to enable seamless government service delivery and we are seeing chatbots used across retail, banking, and government services.

It will also provide information about missing values or outliers if any. For more information and functions which you can use read beginner's guide to exploratory data analysis. Both missing values and outliers are of concern for Machine Learning models as they tend to push the result towards extreme values.

This Artificial Intelligence for Business course or AI4B for short takes place in the future… Somewhere between 2030 and 2035… Executives taking this course will be helped think of the world 10-15 years into the future. This course is designed to help them integrate into strategy all the emerging technologies, and be aware that their convergence will make the next couple of decades the most disruptive ever. We will cover business scenarios that make use of emerging technologies such as AI, Machine Learning, Natural Language Processing, Computer Vision, Robotics, Drones, Augmented Reality, Virtual Reality, Blockchain, Chatbots, Driverless Systems, and Megacities. The goal is to take a trip into the future so we can figure out what new businesses are worth creating in the present and what steps need to be taken today in your existing businesses so they will thrive in this rapidly evolving environment. Another goal in addition to building your AI-muscle is developing your AI-flexibility.

SmartRent, which provides smart home automation for property owners, managers, developers, and residents, today announced that it has raised $60 million. CEO Lucas Haldeman said the funding will enable the company's next phase of growth as it expands its portfolio of offerings. According to Statista, revenue from the smart home market is anticipated to climb 18.3% from 2020 to 2023, resulting in market volume of $41 billion within the next three years. But appliances, lighting fixtures, and security cameras are often not user-friendly, which has threatened to impede adoption. A survey conducted by TechSee found that nearly 74% of respondents were "certain" or "very likely" to return a new smart home purchase if they found it difficult to install.

Duke University researchers have developed an AI tool that can turn blurry, unrecognizable pictures of people's faces into eerily convincing computer-generated portraits, in finer detail than ever before. Previous methods can scale an image of a face up to eight times its original resolution. But the Duke team has come up with a way to take a handful of pixels and create realistic-looking faces with up to 64 times the resolution, 'imagining' features such as fine lines, eyelashes and stubble that weren't there in the first place. "Never have super-resolution images been created at this resolution before with this much detail," said Duke computer scientist Cynthia Rudin, who led the team. The system cannot be used to identify people, the researchers say: It won't turn an out-of-focus, unrecognizable photo from a security camera into a crystal clear image of a real person.

Covid-19 is the new Manhattan Project and AI emerges as a major player in it. Covid-19 research has quickly created unprecedented amounts of publicly available research data from federal governments, industry, and university research labs at record rates. For example, the Covid-19 Open Research Dataset (CORD-19) created by the Allen Institute for AI in collaboration with government agencies, universities, and industry partners started with 13,000 Covid-19 scholarly articles. Two months later, it had grown to over 128K articles. Research data on a topic normally takes years, not months to grow that large.

Researchers and physicians at Oregon Health & Science University, using artificial intelligence and automated monitoring, have designed a method to help people with type 1 diabetes better manage their glucose levels. The research was published in the journal Nature Metabolism. "Our system design is unique," said lead author Nichole Tyler, an M.D.-Ph.D. student in the OHSU School of Medicine. "We designed the AI algorithm entirely using a mathematical simulator, and yet when the algorithm was validated on real-world data from people with type 1 diabetes at OHSU, it generated recommendations that were highly similar to recommendations from endocrinologists." That's significant because the people with diabetes typically go three to six months between appointments with their endocrinologist.

IT WILL BE as if the world had created a second China, made not of billions of people and millions of factories, but of algorithms and humming computers. PwC, a professional-services firm, predicts that artificial intelligence (AI) will add $16trn to the global economy by 2030. The total of all activity--from banks and biotech to shops and construction--in the world's second-largest economy was just $13trn in 2018. PwC's claim is no outlier. Rival prognosticators at McKinsey put the figure at $13trn.