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Should We Embrace Artificial Intelligence as Part of Our Photography? Skylum Co-Founder Shares His Thoughts.
Just doing very brief research online, you'll quickly find that there are numerous types of software and pieces of equipment that already utilize the benefits of artificial intelligence, from the way our equipment works, to the way we can create art nowadays, and of course in post-processing, as well as analyzing and categorizing our work, and more.
Although artificial intelligence can imitate the work pattern of fixing white balance, exposure, details, and other tools that a human editor would apply to the image, especially at the beginning stage of post-processing, Sytnik admits that the image still needs to be taken by a photographer, although he is hopeful that artificial intelligence will gain the ability to add a creative touch.
Sure, it can judge certain aspects within an image, such as lighting, but Sytnik believes that it takes a real human to truly evaluate the context of the scene, meanwhile a computer does not carry the emotional capability to comprehend a narrative. In order for machine learning to adapt to our needs and perhaps become more powerful in adding a creative touch, it still needs to be learn from us. Sytnik notes that currently the biggest hurdle in developing artificial intelligence based tools and software is research and development.
Although nobody knows exactly what future holds, Sytnik believes that artificial intelligence will rather enhance, not replace, traditional imaging.
For those who aren't concerned with creativity, artificial intelligence can be a money saving answer to tackling time consuming tasks, for example, a real estate business requiring high quality HDR photographs showcasing their listings or an online retailer letting the machine automation take care of batch-processing images.
For those who thoroughly enjoy the creativity and human aspect of photography, artificial intelligence should not be feared but rather seen as a tool that can help us reduce time spent on tasks we rather avoid, and allow us focus on things that matter to us, instead. What are your thoughts on artificial intelligence becoming a part of our photography experience? All images used with the permission of Skylum.
Bitcoin Hits New 2019 High Above $8,900
The move to fresh 2019 highs comes after the bitcoin price dropped to as low as $6,600 on May 17 before a large amount of buying pressure pushed prices back above $7,300 within the same day.
What’s more, the total market capitalization has risen to a high of $268.1 billion its highest point since August 3, 2018 while the market capitalization for altcoins is up $6 billion, a sign of continued funding and investment for cryptocurrencies overall.
Eyes are now firmly set on bitcoin’s new target along $9,650 resistance, last seen 13 months ago on April 30, 2018, signaling a very strong upward move beyond the $10,000 psychological price tag.
Can 10,000 brains and an AI called Rose predict the price of Bitcoin?
ST JULIAN’S, MALTA—U.K.-based Pynk sounds like an attractive proposition: the core team behind the people-powered investment platform are digital startup veterans;
“People across the world are not being allowed to access these products because, potentially, they’re poor.” Essentially, Pynk is harnessing the power of 10,000 people, each with their own predictions about the market, and a proprietary artificial intelligence (AI) called Rose to put your investments in the black, said Barksfield.
The responses are evaluated by Rose using the responders’ prediction history (how many times they got it right), as well as “various geo-political aspects,” which are based, said Barksfield, on the responders’ location.
But the results, he said, are “incredibly accurate.” To date, he said they’ve been about “87 percent accurate in calling market moves anywhere between 3-9 percent.” Join Daily DebriefWant the best of crypto news straight into your inbox?
“We’re going to—essentially—do due-diligence on projects.” In other words, Pynk will be using the power of the crowd to judge whether these blockchain projects are actually any good.
that have given us the regulatory compliance that we require.” The company was incubated at the Founder Institute, the world’s largest entrepreneur training and startup launch program.
The Cat-and-Mouse Game of Crypto Regulation Enters a New Phase
As CoinDesk managing editor Marc Hochstein explained last week , the new rules are likely to require exchanges and other custodial entities that take custody of their customers’ cryptocurrency to obtain identifying information about both parties before allowing a transaction over their platforms.
Functioning much like the FATF’s “travel rule” for correspondent banks, the new regulatory approach would be backed by the task force member institutions’ unique powers to “graylist”– and ultimately blacklist – entire countries if they are judged to be non-compliant.
Blockchain analysis firm Chainalysis, which counts regulatory agencies among its clients, argued in a submission to the FATF that the new rules are impractical and would drive more activity in cryptocurrencies into services that make it much harder for authorities to track illicit activity.
Once you move your funds into a non-custodial account, you’ll be free to send them to any self-custody address, but if you’ve never formally associated your identity with that address via a regulated entity, you won’t be able to transact with a Coinbase address or one administered by any other regulated custody provider.
Stories of hacks and loss abound and have long discouraged newbies from “being their own bank.” In recent years, secure hardware wallets such as Ledger and Trezor have made it easier for people to control their assets without exposing their private keys to online hackers.
Other changes to the ecosystem, such as decentralized insurance programs and more aggressive measures to hold phone carriers to account for “SIM swap” attacks such as the one that led Michael Terpin into a lengthy legal battle with a hacker and AT&T, will also boost confidence.
The answer lies in the rapidly growing field of decentralized exchanges, where custody is retained by the investor and where technologies such as atomic swaps allow seamless peer-to-peer transfer of assets without either party being able to defraud the other.
Meanwhile, Boston-based startup Arwen has launched a protocol that would give investors access to the matching engines of large centralized exchanges but allows them to retain custody through a smart contract solution that locks up their coins in escrow.
In theory, there’s nothing technical stopping these stable-value tokens from moving in and out of unidentified self-custody wallets, which offers a way around the fiat on-ramp problem by enabling access to de facto dollars, if not actual dollars.
Most banks won’t want to cede the future of digital fiat payments to a competing bank such as JPMorgan , and they’ll be reluctant to let Facebook turn its more than 2 billion active users into an instant global payment network that bypasses banks.
What is Artificial Intelligence?
The term artificial intelligence (AI) refers to computing systems that perform tasks normally considered within the realm of human decision making.
AI systems leverage this knowledge repository to make decisions and take actions that approximate cognitive functions, including learning and problem solving.
Today, robotics, image recognition, natural language processing, real-time analytics tools and various connected systems within the Internet of Things (IoT) all tap AI in order to deliver more advanced features and capabilities.
Consulting firm Accenture reports that AI could double annual economic growth rates by 2035 by “changing the nature of work and spawning a new relationship between man and machine.”
It wasn’t until the early 1940s, however, that the idea of artificial intelligence began to take shape in a real way.
In 2011, IBM introduced Watson, which used far more sophisticated techniques, including deep learning and machine learning, to defeat two top Jeopardy!
Google Cloud, Amazon Web Services, and Microsoft Azure and others began to step up research and improve natural language processing capabilities, computer vision and analytics tools.
Today, quants (algorithms) trade stocks with no human intervention, banks make automated credit decisions instantly, and financial organizations use algorithms to spot fraud.
growing number of consumer-facing apps and tools support image recognition, voice and natural language processing and augmented reality (AR) features that allow consumers to preview a piece of furniture in a room or office or see what makeup looks like without heading to a physical store.
As starting point, it's essential to know how and where AI can improve business processes and build a workforce that understands what artificial intelligence is, where it fits in and what opportunities it offers.
When users train models with bad data or construct flawed statistical models, incorrect and even dangerous outcomes often follow.
Other important factors include: ensuring there’s enough computing power and the right cloud-based infrastructure in place, and, mitigating fears about job loss.
- On 1. august 2021
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