What if a robot could automatically adjust its grip based on the size and shape of the object? In other words, a robot that could fine-tune how it is holding an object so as not to drop it, much in the same way humans do. According to Siemens, it's quite possible, and it all comes down to artificial intelligence (AI) based on neural networks. Neural networking is a technology that mimics the human brain in that it is able to recognize complex patterns. With that in mind, Siemens says that by adding AI via neural networks to traditional control programs--which were designed to execute a set task--the capabilities of the system can be extended to change based on the parameters of the product or process.
Sign in to report inappropriate content. Global healthcare systems are struggling to provide better clinical outcomes at lower costs. To achieve this goal, Siemens Healthineers uses analytics from SAS to leverage Predictive Maintenance, based on modern technologies such as AI, Machine Learning and the Internet of Things (IoT). This enables healthcare providers to achieve maximum uptime and smooth operations and workflows, resulting in optimal patient care in accordance with service and diagnostic capabilities.
While heating and cooling setups can vary a lot, most US homes rely on some sort of heating, ventilating and air conditioning system (HVAC) to help keep indoor temperatures in check. Your thermostat acts as the main point of access for this system, allowing you to determine when and at what temperature air is circulated. The thing is, today's thermostats are quite different than the typical models sold in stores just 10 years ago. That's where this buying guide comes in handy. We'll explore the changing thermostat market, so you can decide which model makes the most sense for your home.
Honeywell announced investment and partnership with Daedalean.ai, Honeywell has invested in and signed a technological partnership with Swiss startup Daedalean.ai A longtime major player in aviation, Honeywell is working quickly to secure its position as a supplier of navigation, flight controls and other avionics for many of the 200 electric and hybrid VTOL concepts under development. Daedalean's computer vision and machine learning expertise, which is already used by Volocopter and likely other OEMs, is a sensible fit. The two companies plan to cooperate "towards the development of a fully autonomous AI pilot for [GA and UAM]," according to the joint press release.
Running a bootstrapped startup is tough, so Alexander Rinke, co-CEO and co-founder of Celonis, tried a quirky way to cut marketing costs: send handwritten letters to would-be clients. He and his team also figured it could be more effective, thinking a typical formal letter to a top exec would routinely be opened and thrown in the garbage by an executive assistant. "We thought if we hand-write the letter and the address on the envelope an executive assistant can't just open it because it might be a personal letter, from a grandmother, a father-in-law or somebody," he told Business Insider. They sent 1,500 handwritten letters to executives of German businesses, dozens of which turned into solid sales leads. Nowadays, Celonis, which uses AI to help businesses evaluate and fix IT processes, doesn't have to worry too much about using offbeat cost-cutting tricks.
Making the case for AI, or any nascent technology for that matter, can be a struggle for companies today. While large enterprises know they need to be fast, agile and innovation-obsessed to survive disruption, their age-old policies, antiquated systems, disconnected data and entrenched corporate habits can be serious blockers to adoption. With a century plus-long tradition of engineering excellence, we at Siemens knew we had a challenge to transform ourselves in order to continue to lead in the AI era. Adopting a mindset of risk-taking and innovation from the inside-out had to be a key part of that transformation journey. Thanks to our recent efforts with the IBM Data Science and AI Elite team, together with the IBM Garage at the Watson IoT Center in Munich, we recently made a critical breakthrough on our journey to AI. Working with partners such as IBM and others, we developed a proof of concept to showcase how we could harness AI and blockchain to drastically reduce our employees carbon output--not through mandates, but through incentivizing more eco-friendly behavior.
CHARLOTTE, NC--Honeywell has created Honeywell Robotics, a technology centre of excellence focused on innovating and developing artificial intelligence, machine learning, computer vision and advanced robotics for use across supply chains. Based in Pittsburgh, the company says Honeywell Robotics will help shape the warehouse and distribution centre of the future, particularly as companies look to automated solutions, software and robotics to deliver increased speed, accuracy and throughput in complex material handling environments. The centre will be led by Joseph Lui, a robotics expert specializing in digital data, autonomous technologies and the industrial Internet of Things. He previously served as director of industrial IoT and automation technologies, robotics for Amazon. Establishing the centre is the continuation of Honeywell's technology transformation, putting investment in partnerships with software vendors, universities, startups and incubators to create new solutions for industrial customers with both simple and complex needs.
Big data and AI give Industry 4.0 a huge boost. Intelligent software solutions can use the high volumes of data generated by a factory to identify trends and patterns that can then be used to make manufacturing processes more efficient and reduce their energy consumption. This is how plants are constantly adapting to new circumstances and undergoing optimization with no need for operator input. And as the level of networking increases, the AI software can learn to "read between the lines," which can lead to the discovery of many complex connections in systems that aren't yet or are no longer evident to the human eye. Intelligent software with sufficiently intelligent analytical technology is already available.
Wouldn't it be great to just come home and automatically have the perfect conditions? Or go out with friends without worrying whether you turned the AC off? We're proud to introduce Ambi Climate's newest feature – read on to see what it's all about! After months of hard work and making sure every need was answered, we're happy to release our sought-after Multi-user Geolocation feature! In this post we'll give an overview of the feature, how it works and all the possibilities for you to seamlessly automate your life.
Designers that spend their days creating new electronic chips push descriptions of their design through an elaborate flow of over 20 tools in order to get a verified product fabricated. Along the way, high-level concepts are captured in English-like programming descriptions that are transformed to lower and lower level abstractions until finally, they brush against the very limits of physics at almost the molecular level. For example, a graphics processor chip in a gaming computer can contain over 50 million transistors, yet its size is only 12 by 12 millimeters. Three grains of table salt stacked together are about 1 millimeter across. At each step in the flow, designers apply verification techniques to ensure that the design works as expected.