New AI Program can Effectively Remove the Noise from a Photograph




On July 9, researchers from NVIDIA, Aalto University, and MIT unveiled a yet another AI program that can adequately expel the noise and artifacts from pictures , this AI algorithm is the first of its kind as it doesn't even require a "clean " reference picture to get it going.

To make their noise filtering AI, the researchers began by adding noise to 50,000 sets of clean pictures and then fed these sets of grainy pictures to their AI, preparing it to expel the noise to reveal a much cleaned up version of the photograph, one that looked relatively indistinguishable to the picture before the noise was included.

Subsequent to training their AI, the scientists/researchers tried it by utilizing three sets of pictures to which they'd included the noise and they found that the framework could de-commotion the photographs in milliseconds, creating a version just marginally milder looking than the first before the noise was included.

Researchers say their algorithm can be utilized to denoise old grainy photographs, remove content based watermarks, clear up medicinal X-ray examines taken with undersampled inputs, upgrading astronomical photography, and denoise artificially produced pictures.

This in any case, isn't the principal case of an AI that can enhance inferior photos and absolutely not the first time when NVIDIA's research team has been behind such an amazing exploration.

As in April, NVIDIA and different researchers made another AI-based algorithm that can recreate pictures from which substantial lumps of content has been expelled.
Also in May, NVIDIA and other kindred researchers made an AI algorithm that can encourage robots to do different tasks just by watching a couple of redundancies by human workers.

Despite the fact that it's not yet clear when or if, this product may end up accessible to the overall population. Be that as it may, when that day comes, the researchers trust that it could definitely be helpful for various applications whether it be from astrology to medical imaging.


Google bans AI used for weapons and war


Google CEO Sundar Pichai on Thursday announced that Google is banning the development of Artificial Intelligence (AI) software that could be used in weapons or harm others.

The company has set strict standards for ethical and safe development of AI.

“We recognize that such powerful technology raises equally powerful questions about its use,” Pichai said in a blog post. “As a leader in AI, we feel a deep responsibility to get this right. So today, we’re announcing seven principles to guide our work going forward. These are not theoretical concepts; they are concrete standards that will actively govern our research and product development and will impact our business decisions."

The objectives Google has framed out for this include that the AI should be socially beneficial, should not create or promote bias, should be built and tested safely, should have accountability, and that it should uphold privacy principles, etc.

The company, however, will not pursue AI development in areas where it threatens harm on other people, weapons, technology that violate human rights and privacy, etc.

“Where there is a material risk of harm, we will proceed only where we believe that the benefits substantially outweigh the risks, and will incorporate appropriate safety constraints,” the post read.

However, while the company will not create weapons, it had said that it will continue to work with the military and government.

"These include cybersecurity, training, military recruitment, veterans’ healthcare, and search and rescue. These collaborations are important and we’ll actively look for more ways to augment the critical work of these organizations and keep service members and civilians safe," Pichai said.

This decision comes after a series of resignation of several employees after public criticism of Google’s contract with the Defense Department for an AI that could help analyze drone video, called Project Maven.


Is AI allegedly hacking users’ account?

Recently the leak of a few documents online seems to reveal insight into the computer gaming industry's use of Artificial Intelligence (AI) to increase advertising revenue and gaming deals. The classified documents showed up on Imgur two days back, and have been doing the rounds on Twitter. The leaked documents, if genuine, uncover the startling lengths that the computer game industry will go to with a specific end goal to snoop on gamers using AI.


The archives state that reconnaissance data is accumulated to order detailed profiles about users. As indicated by the reports AI focused on the users' smartphones and utilized inactive listening innovation/technology to connect with the smartphone's microphone, phones are checked to see whether they (users) stay in a similar area for eight hours or more. On the off chance that this is observed to be genuine the subject is set apart as "at home". 

The unsubstantiated documents at that point go ahead to clarify the detailed observing or monitoring that happens inside a user’s home:
 “When in home, monitor area of common walking space. Pair with information about number of staircases gathered from footfall audio patterns. Guess square footage of house.”

A part of the document marked "Example Highlight" at that point goes ahead to clarify how it was chosen that "high bonus gaming sessions during relaxing times are paradoxically not the time to encourage premium engagement."

Around then, users are focused with free rewards, bonuses and "non-revenue-generating gameplay ads." As per the leak, at these circumstances "the AI severely discourages premium ads.”
As though this wasn't sufficient, the AI additionally listens in, for catchphrases as well as for "non word sounds." Examples include microwave sounds and notwithstanding biting and chewing noises, which are utilized to figure whether packaged meals have been consumed.

A section marked "Calendar K" clarifies how psychological manipulation is utilized to coerce users into making purchases. AI may sit tight for players to be tired after long gaming sessions. Can turn around the shade of free and paid game titles (generally blue and red), with a specific end goal to "trick a player into making a buy unintentionally."

Unbelievably though,it gets worse. As indicated by the leaked documents the gaming business industry likewise utilizes hacked data dumps to gather additional information about users. Also a segment marked "Schedule O" even clarifies how the AI gathers side channel data.
For the present however, it remains to be seen whether this information or data dump will end up being genuine or not.


As is dependably the case, we encourage smart phone users to be careful about the applications they install. Continuously check for obtrusive authorizations before consenting to install any application or game. On the off chance that a game requests authorization to utilize the microphone, please remember that this sort of reconnaissance might happen.

As per these leaked documents, AI software may likewise be utilizing previously hacked information and data to pick up passage to outsider or third-party administrations and services. If it happens, at that point the gaming companies might break into auxiliary services to put users under surveillance and develop a detailed profile about them.


For now, these serious allegations still can't seem to be demonstrated valid. Be that as it may, the users are reminded to dependably utilize solid one of a kind passwords for the greater part of their diverse online accounts – to make it substantially harder for organizations and companies to use such practices.

Artificial intelligence still has to fight living consciousness


In today’s technology driven world, the debate on the role of artificial intelligence is gradually heating up. According to computer scientists Stuart Russell and Peter Norvig, the term “Artificial Intelligence” is applied when a machine mimics ‘cognitive’ functions that humans associate with other human minds, such as ‘learning’ and ‘problem solving’.

 In contrast to artificial intelligence or AI, is the process automation which takes manual tasks that do not need much learning and simply mechanizes them.

Automation simply mechanizes routine tasks. But in AI, the computer program itself learns as it goes along, creating a database of information which themselves generate additional computer programming code as they learn more, without the need for an army of computer programmers. In AI speak, this is now often referred to as ‘deep learning’.

While AI as a term is familiar to the industry, deep learning is what's been in the limelight lately. Deep learning is a subset of machine learning, which in turn falls under the much broader umbrella of AI, all of whose broad goals are to make computers do things outside of the box of precise programmed instructions.
Deep learning refers to the use of specialised computer programs called neural networks — computational representations of points resembling biological neurons in the brain — stacked in (deep) layers, where information flows between the layers. Such a program can be fed large amounts of information — for instance, images, from which they automatically detect and learn implicit features that they can later use to make predictions about novel information.
While deep-learning programs are incredible feats of engineering and promise great advancements in AI, they cannot be applied to all problems. These programs are highly specific to their scopes and require a lot of tuning and trial and error by humans.
While tasks, whether or not they need continuous learning, can be automated, there is one thing that a soulless machine can never do, and that is to have living consciousness.