Many tasks in which humans excel are extremely difficult for robots and computers to perform. Especially challenging are decision-making tasks that are non-deterministic and, to use human terms, are based on experience and intuition rather than on predetermined algorithmic response. A good example of a task that is difficult to formalize and encode using procedural programming is image recognition and classification. For instance, teaching a computer to recognize that the animal in a picture is a cat is difficult to accomplish using traditional programming. Read More
Reprioritization of Autonomous Vehicles Development is Needed
Everyone is in the self-driving car race. Google has been developing autonomous driving capabilities since 2009 and continues to demonstrate incremental improvement in its autonomous driving technology since. By 2012, Google’s fleet has logged 300,000 self-driven miles. Tesla’s AutoPilot, another household name on the driverless car stage, has logged nearly 250 million miles of hands-free driving. Delphi’s Roadrunner completed a nearly 3,400-mile cross-country trip, 98% of it in self-driving mode.
Fearing the perception of falling behind in the race to take the checkered flag, practically all major automakers and suppliers are investing heavily in self-driving technologies and are very vocal telling their own bold vision of crash-free, stress-free traffic. And if you are a car executive who doesn’t dream big enough, you are out! Read More
Continuing its strong growth momentum over the past few years, Aras Corp. announced today it has raised $40 Million in a new round of funding from private equity firm Silver Lake Partners and GE Ventures
The funding will be used to expand Aras’s global growth and extend the company’s PLM technology, especially in offering customers comprehensive digital twin capabilities – the ability to create and manage a complete and exact digital replica of a physical product in operation. Aras technology will give Internet of Things (IoT) solution providers and users powerful configuration management tools to establish and manage IoT information in the context of detailed and up-to-date product configuration throughout the extended product life cycle: as designed, as built and installed, as maintained, and as operated.
Aras digital twin expansion strategy continues to build on the growth momentum in IoT services from cloud infrastructure providers such as Azure, AWS, Bluemix, and MindSphere, some of whom are already Aras partners.
The Industrial Internet of Things seems to be in full swing, as the digital transformation of business operations and customers engagement models promises to bring about radical business improvements, new customers and additional revenue streams.
And technology innovations continue to keep the conversation alive, as hardware miniaturization, reduced power consumption, falling hardware prices, and ubiquitous wireless connectivity proliferate and power practically all new products.
The confluence of new technologies and innovative business models fuels the growth of the Industrial Internet of Things. There are plenty of compelling arguments—both business-oriented and technology-induced—that the Industrial Internet of Things will, indeed, lead to a radical transformation in practically every business sector.
The Seduction of Data
Industry 4.0 promises to bring our factories to the 21st century. Thanks to the pervasive digitalization of manufacturing assets, we can now collect and track detailed manufacturing operations data. Lots of it, in real time, all the time. We can analyze it, trend it, and share it across the extended enterprise, again, in real time if we wish to.
But does having more data promise better decisions? Not necessarily. Read More