What is an AI camera and how does AI photo editing work?

Artificial intelligence (AI) is everywhere, and if you don’t have an AI smartphone yet, you probably will soon. Even your phone’s software uses AI to make decisions on your behalf. Adobe’s just-launched Photoshop camera uses AI to identify objects and scenes in your images and suggest “lenses” (digital effects) for comic and creative effects.

Is this all just marketing hubris, or is AI in a smartphone – and especially in its camera – something we should all aspire to? As the term, AI is increasingly used not just in camera phones, but in all types of cameras, it’s worth knowing what AI actually does for your photos.

AI has blurred the lines between image capture, image enhancement, and image manipulation. It’s being used in photo processing to blend, enhance and “augment” reality, to make smarter object selection, adjust processing parameters to match the subject, and help you automatically find images based on the content of your photos rather than manual keywords and descriptions. It already checks what you are photographing and makes its own decisions about how to handle it.

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Interested In PMI PMP Certification? Here’s All You Need To Know

To begin with, the Project Management Professional (PMP) is a globally acclaimed, and widely sought certification that is offered by the Project Management Institute or just PMI. This reputable organization is known worldwide, as it offers numerous certifications that will help you build your project management career. This also refers to the PMI PMP badge. Through it you can confirm yourself as an invaluable asset able to complete tasks concerning project management.

At the same time, the PMI PMP credential is capable of opening many doors that lead to a vast world of fulfilling career and professional opportunities. So, based on this, the useful major information you need to take note of for earning the concerned qualification is discussed in this article.

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How will the personal computer evolve in 2022?

How will personal computers evolve in 2022? Continuing from my column looking back on last year, I would like to review the trends in the technology industry centered on PCs this year, including what we have already learned, and make some predictions. The year 2021 was the year that Windows received its first major update … Read more

What technologies make electric motor vehicles superior to internal combustion engine vehicles?

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In the future, we’ll be driving purely on electric power – at least that’s what politicians have planned. But the hype surrounding electromobility also raises many questions. What about range, charging infrastructure, and sustainability? How negative is the impact of large high-voltage batteries on the ecosystem? And is the e-car really that much better than a modern combustion engine? These are questions that Professor Peter Pfeffer from Munich University of Applied Sciences has now addressed in an interview with the stern magazine. We have taken up the topic. Electric motor vehicles will be equipped with artificial intelligence, advanced sensors, and in-vehicle camera systems that will replace the best dash cam helping to improve the self-driving car system.

The sense and nonsense of electric cars are the subjects of much debate. For some, they are ecologically necessary, for others they bring problems. The first question is how environmentally-friendly electric mobility really is. Electric cars are often described by manufacturers as “emission-free” because, unlike internal combustion engines, they produce no direct emissions. However, it should not be forgotten that CO₂ emissions and pollutants are emitted during electricity production and must therefore be included in the overall balance. In order to be able to compare all drive concepts fairly with each other, the ADAC has taken into account the energy consumption from the fuel source to the wheel, also known as well-to-wheel (WTW). In the life cycle analysis, the CO₂ emissions generated during the production of the respective vehicle are also taken into account.

According to the ADAC, this shows that electric cars carry a CO₂ backpack that is significantly larger than cars with combustion engines. The resource-intensive battery cells are to blame. The ADAC has calculated that the CO₂ disadvantage of battery-powered cars is only offset from mileages of 50,000 to 100,000 kilometers. Only then are e-cars more environmentally friendly than modern combustion engines. But why is electromobility being pushed so hard by the automotive industry? Professor and vehicle technology expert Peter Pfeffer from Munich University of Applied Sciences explained to the stern magazine that this is due to EU legislation. This is because emissions targets of currently 90 grams per kilometer of CO2 are required. In 2030, this value is to fall to 60 grams. “You can only achieve these targets if you have electric vehicles in your fleet. In any case, this is not possible purely with internal combustion engines for the vehicle concepts that customers like to buy – namely, particularly rather large vehicles. That’s why the automotive industry is forced to increase the proportion of electric vehicles in the fleet, otherwise, they won’t be able to meet the laws.”

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Artificial intelligence trends for 2022

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Until now, artificial intelligence and machine learning have only been dreams of the future for many companies. But in 2022, the democratization of these important technologies will advance.

In many areas, artificial intelligence and especially the subfield of machine learning (ML) have become indispensable helpers. The amount of data available for AI learning divides the AI world into two: Platform giants collect unimaginably large amounts of data and use it to feed generalized AI methods available for generalized use cases. However, companies can only use these generalized models to a limited extent in the specific context of use. For optimal adjustment, they must train the artificial intelligence with the real data, which is only available in small quantities, and with regard to the respective, usually very specific context. Which three decisive developments in AI and ML will shape the year 2022.

1. Artificial intelligence: more focus on small data and wide data

For a long time, Big Data was mostly indispensable when it came to training artificial intelligence. The problem, however, is that in practice only a few companies and developers have access to sufficient amounts of training data. As a result, much of the business community is largely excluded from the technologies of tomorrow. New trends such as Small and Wide Data are therefore just in time to make AI and ML accessible to smaller companies.

Small Data approaches aim to extract value from smaller data sets with machine learning methods optimized for them using new analysis techniques. Wide Data is about creating synergies from a wide range of different data sources and types to improve the context for AI applications. With these approaches, companies are able to leverage their own treasure trove of data effectively and profitably. A study by the market research company Gartner shows just how interesting the new approaches are: according to this study, around 70 percent of all companies will shift their focus from Big Data to Small and Wide Data by 2025.

2. Intelligent document processing on the rise

The intelligent analysis of documents enables completely new working methods, as companies can digitize and partially or completely automate processes. In this way, processes can be optimized and implemented much more efficiently. Public authorities and large companies, in particular, have vast amounts of data, and new data is added every day. Often, several employees are entrusted with filtering the relevant information from documents that are required for further processing. This takes a lot of time, and the human factor makes for comparatively high susceptibility to errors. Intelligent Document Processing (IDP), i.e. the use of AI-based software for processing documents, is becoming increasingly important and at the same time enables the automation of workflows.

With IDP, companies and government agencies can automate their front- and back-office processes. In particular, application reviews, order acceptance, and updating customer and payment data are prominent application areas for this technology. In addition, IDP software helps with regulatory compliance or product tracking via supply chain systems in retail. Ultimately, the application areas include all text-based work processes.

3. Advances in conversational AI.

Anthropomorphism, the humanization of technology, has always been a major theme in the field of artificial intelligence. At the latest with Siri on the iPhone and Alexa on the smart TV, this phenomenon has become established in everyday life. Experts call these smart, AI-based voice assistants and other dialog systems conversational AI. They will become even more important in 2022.

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Leadership Blind Spot: Talent

Leadership Blind Spot: Talent While most senior management agrees that talent is a key ingredient to success company leaders have significant blind spot as to the transformation that has happened over the past 10 years. The entire talent management continuum has changed for planning, acquiring, cultivating and retaining talent. However the key pivot point has … Read more

Virtual Employment – Part 5

As we come to the last two installments of this series it is interesting to note that so many of these topics and initiatives are gaining strength – or at least debate and trials. So far we have covered the impact of remote employment engagements as they relate to business continuity and recovery planning (BCRP), … Read more

Virtual Employment – Part 4

As we come to the last two installments of this series it is interesting to note that so many of these topics and initiatives are gaining strength – or at least debate and trials. So far we have covered the impact of remote employment engagements as they relate to business continuity and recovery planning (BCRP), … Read more

Virtual Employment – Part 3

So far we have covered the impact of remote employment engagements as they relate to business continuity and recovery planning (BCRP) and the implications of allowing for flexible working arrangements from home to off-set absenteeism as it relates to sickness/health issues. In this third installment of The Virtual Edge I’d like to discuss the cost … Read more

Virtual Employment – Part 2

In the first installment of the Virtual Edge I opened the discussion of reviewing sick time/absenteeism as a first option to having employees work remotely or from home. In this installment we are going to review the reasons why you should have a virtual or remote operational plan as part of a business continuity and … Read more