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TORTOLA, BRITISH VIRGIN ISLANDS / ACCESSWIRE / March 4, 2022 / Galaxy Trading Analytics (GTA), headquartered in the British Virgin Islands (BVI), is a technology company specializing in world-class artificial intelligence. GTA is empowering cryptocurrency investors and traders with a novel approach to growing their portfolios amidst the Covid-19 pandemic.

Initially developed for private clients and institutions, they are now offering their GTAI (Galaxy Trading Artificial Intelligence) System to the masses, which have developed a reputation in the industry with consistent trading profits.

GTAI System, the World's First Hybrid AI Trading and Arbitrage Software Bot, is designed to help crypto traders maximize trading profits while minimizing risks and losses.

Arbitrage has been a strategy utilized by investors and traders in growing their portfolios by leveraging price asymmetries and inefficiencies across different exchanges or markets. As a method of trading, it requires a high level of expertise, experience, and involvement, thus making it inaccessible for most.

Technology is changing this, by providing platforms that make it accessible to traders by utilizing artificial intelligence, algorithmic trading, and lightning-fast transactions in successfully executing arbitrage for portfolio growth.

Unlike traditional arbitrage bots that only deploy triangular arbitrage, GTAI deploys 4 different trading strategies, making it more stable and profitable even in bull, bear or volatile market conditions. In the future, GTA will even implement more proven trading strategies into the GTAI System.

The GTAI system is monitored 24 hours a day, 7 days a week by a dedicated team, deploying the right strategies and risk management protocols according to the market conditions.

About Galaxy Trading Analytics

Galaxy Trading Analytics, GTA, is a British Virgin Islands based regulated fintech company established in 2022, with an office in Canada, and teams operating around the world. With a strong team of Artificial Intelligence and Deep Learning experts since 2013, their core focus is to develop niche investment solutions and investment advisory tools. GTA manage and maximize their clients' assets via their AI technologies, GTAI system and a user-friendly mobile App, giving them the best yield in the crypto markets with minimal risks.

Media DetailsMike Peterson media@gtatrade.comTortola, British Virgin Islands gtatrade.com

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Artificial Intelligence by Galaxy Trading Analytics Enables Greater Access to Portfolio Growth and Diversification - Yahoo Finance

Former President Donald Trump's new social media app, Truth Social, is surging with new users but facing criticism from some on the Right for what they claim is censorship.

The critics say Truth Social, which has billed itself as a free-speech alternative to Big Tech platforms, has some of the same problems with content moderation and data privacy that led them to seek alternatives to companies such as Facebook and Twitter.

A right-wing broadcaster who has pushed conspiracy theories about the coronavirus in recent months was censored for posting what the platform classified as "sensitive content." Another user has been banned from the app for creating an account that made fun of Devin Nunes, the CEO of Trump Media and Technology Group, the parent company of Truth Social.

Right-wing personality and radio host Stew Peters complained his speech was suppressed by having a Show Content label placed on one of his posts on Truth Social, forcing users to click to see his content.

Im ALREADY being censored on Truth Social, Peters said on Telegram, another free speech-focused social media platform.

I said, The people in our government responsible for allowing our kids to be killed with these dangerous Covid shots, should be put on trial and executed,' Peters said, along with a screenshot of his post on Truth Social. Free speech isnt free."

PARLER ATTEMPTS TO REBRAND ITSELF AS NONPARTISAN AND MAINSTREAM

Truth Social was the most downloaded free app on Apples app store earlier this week, with nearly 400,000 people receiving notices they were on a waitlist upon trying to sign up.

Nunes said Thursday that Truth Social's top priority is bringing people on to the platform's app as soon as possible.

Since its launch on Sunday, Truth Social has been swamped with people seeking to sign up and been plagued by sign-up errors and delays, with many users being unable to create an account successfully or receiving confusing error messages.

A Truth Social user who attempted to register an account intended to make fun of Nunes with a new account titled '@DevinNunesCow' wasoutright bannedfrom the platform.

The account name was a reference to a satirical Twitter account called "Devin Nunes cow," created by web developer and internet personality Matt Ortega, which gained notoriety and a large following on the platform after Nunes sued the account for defamation in 2019.

Ortega tried to create a Truth Social account that also pretended to be Nunes's cow but was removed from the platform for doing so.

I may be the first officially cancelled Truth Social user, Ortega said on Twitter.

Truth Social said his account was permanently deleted because the account name violated its social community guidelines.

"This is censorship," Ortega tweeted.

Trump removed from almost every major social media platform, including Facebook and Twitter, following his role in the Jan. 6 riot at the U.S. Capitol announced he was creating Truth Social last October as an alternative to the Big Tech companies and to promote free speech.

Thus far, social media platforms popular with right-leaning users, such as GETTR and Parler, have had difficulties attracting a more mainstream user base as they try to expand, a major obstacle to conservatives hoping to end the liberal chokehold on social media.

Conservatives have pointed out that Truth Socials content moderation policies are significantly stricter than Twitter's and are not free speech-oriented.

Unlike Twitter, Truth Social users can get suspended or kicked off the platform for posting content that moderators consider to be false, defamatory, or misleading.

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"It isn't a censorship-free experience at all, its rank hypocrisy to ban the DevinNunesCow account," said Patrick Hedger, executive director of the conservative Taxpayers Protection Alliance.

"I think they should abide by how they advertise themselves as a censorship-free platform or recognize that striking a balance between free speech and palatable consumer content is not easy, as other platforms have realized," Hedger added.

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Truth Social criticized by far-right talk show host for 'censorship' as it surges in popularity - Washington Examiner

Artificial intelligence (AI) is taking the technology industry by storm. We see a surge in solutions embedded with virtual assistants and chatbots, with large enterprises integrating AI across the entire tech stack. A recent report suggests that the global AI market will have a valuation of $190.61 billion by 2025, and the forecasted annual growth rate will be around 33.2%.

Artificial intelligence and related technologies are making our existing solutions even more intelligent and are helping us unlock the power of data. The machine learning algorithm, computer vision, natural language processing, and deep learning are now easy to bake into any solution or platform.

Artificial Intelligence can disrupt critical business processes like collaboration, control, reporting, scheduling, and more. In this blog, we will discuss ways for organizations to implement AI efficiently and effectively.

Research and Understand

First and foremost, get acquainted with what enterprise AI can do for your business. In addition to consulting with pure-play AI companies who can advise you on how best to go about this, you can also refer wealth of online information available to familiarize yourself. Some universities like Standford have online papers and videos on AI techniques, principles, etc. Your tech team can check out Microsofts open-source Cognitive Toolkit, Googles open-source TensorFlow software library, AI Resources, the Association for the Advancement of Artificial Intelligence (AAAI)s Resources, MonkeyLearns Gentle Guide to Machine Learning, and other paid and free resources available. More research gives you a head start, and you will know what you are getting into as an organization, how to plan for it, and what to expect at the end of it,

Pin-point the use case

Once you know what AI can do, the next step is to identify what you want AI to do for your business. Think of how to add AI capabilities to your products or services. Build specific use cases in mind around how AI can solve some of your challenges and add value to your business. For instance, if you review your existing tech program and its challenges, you should have a strong case around how image recognition, ML, or others can fit into the product and how useful it will be.

Attribute financial value

Once you have those use cases ready, assess the potential business impact of those and project the financial value of the AI implementations identified. Tying business value to AI initiatives will ensure you are not lost in details and always put outcomes at the center. The second part is to prioritize AI initiatives. Put all your initiatives in a 2X2 matrix of business potential and complexity, and that will give you a clear picture of which ones to go after first.

Identify skill gaps

Once you have prioritized your AI initiatives, its time to check if there are enough ingredients in the kitchen. Its one thing to be wanting to accomplish something and the other to have an organizational capability for it. Before launching a full-blown AI implementation, you can assess your internal capacity, identify skill gaps and then decide on a course of action. You may hire additional resources, or you can tie up with pure-play product engineering companies specializing in AI.

Pilot under the guidance of SMEs

Once you are ready as a business, start building and integrating AI within the business stack. Have a project mindset, and importantly ensure that you dont lose sight of business goals. You can consult with Subject Matter Experts in the space or external AI consultants to ensure that you are on track. Your pilot will give you a taste of what long-term implementation of an AI solution will involve. The pilot will make the case even strong, and you can decide if it still makes sense for your business. But for the pilot to succeed, you will need a team of your people and people who know AI to keep it impartial. Having external SMEs or consulting partners is a great value add at this stage.

Massage your data

High-quality data is the basis of a successful AI/ML implementation. It is critical to clean, massage, and process your data to get better results. Usually, data for enterprises is in multiple silos and various systems. Form a small unit, especially cross-functional, to integrate different data sets, resolve inconsistencies, and ensure that the output is high-quality data.

Take baby steps

When you start, start small. Apply AI to a small data set to test thoroughly. Then incrementally, you can increase volume and collect feedback continuously.

Plan for Storage

Once your small data set is up and running, you need to start thinking about additional storage to implement the full-blown solution with complete data input. The algorithms performance is equally important as its accuracy. To manage large volumes of data for better accuracy, you need a high-performing solution supported by fast and optimized storage.

Manage the Change

AI provides better insights as well as automation. But its a big change for employees as it expects them to operate differently. Some employees are warier than others, and they must accept the change positively. You will need a formal change management initiative to introduce the new AI solution augmenting their daily tasks.

Build Securely and Optimally

Usually, companies start building AI solutions around specific aspects or challenges without studying the limitations or solution requirements as a whole. It will result in sub-optimal or dysfunctional solutions and sometimes insecure too. You will need a balance of storage, the graphics processing unit (GPU), and the network to achieve an optimum. Security is also mostly overlooked, and most companies realize that post-implementation. Make sure you have security safeguards in place like data encryption, VPNs, anti-malware, etc.

AI implementation is no cakewalk, and challenges may arise at every step. But with every technology, the challenges associated with the adoption are the most difficult to tackle. Data literacy and trust are the two pillars of introducing any new technology. Another important aspect of AI initiatives is that it matures with your data management strategy. You will need both of them to run in parallel for success.

Views expressed above are the author's own.

END OF ARTICLE

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10 steps to implement artificial intelligence effectively in your business - Times of India

The International Press Institute (IPI) global network condemns the efforts by Russian authorities to censor independent media reporting on the invasion of Ukraine and the multiple detentions of domestic and international journalists covering anti-war protests across the country on February 24.

IPI condemns efforts to silence reporting on anti-war movement

Hours after the invasion began, Russias government-controlled communications and media regulator, Roskomnadzor, issued an ominousstatementwarning that media outlets were obliged to only publish verified data and information on the conflict from official Russian sources.

The department said that media knowingly disseminating false information could face sanctions under article 13.15 of the Code of Administrative Offenses, which carries a maximum administrative fine of up to 5 million rubles (53,200).

Roskomnadzor stressed that spreading false information on the internet would result in the immediate blocking of such materials under Article. 15.3 of Federal Law No. 149-FZ, a restrictive piece of legislation passed in 2019 which allows extrajudicial blocking of media websites accused of spreading misinformation.

Soon after the warning was given, there were reports in media and on social media that Russian media platforms were being contacted directly by Roskomnadzor and instructed to take down articles or delete certain information or images from published articles.

Among them was the Krasnoyarsk edition of Prospekt Mira, whose editors reported they wereorderedto remove news about the strikes on Ukrainian cities. Roskomnadzor said the report contained false reports about acts of terrorism and inaccurate socially significant information, without providing details. Thenews article entitled Media reports explosions in cities and the capital of Ukraine was taken off the website.

Journalists detained covering anti-war rallies

Later that evening, three correspondents from the Russian service of Radio Free Europe/Radio Liberty weredetainedin Moscow while covering a protest against the war, despite one of them repeatedly identifying himself as a journalist. The trio were taken away from the crowd on Pushkinskaya Square and taken to a nearby police station. They were released without charge shortly after.

There weremultiplereportsof other journalists being detained or facing pressure from security officials, despite being clearly identifiable as members of the press. In St. Petersburg, Interfax correspondentDmitry Gavrilovwas detained at an anti-war rally as he was taking a photograph of a No to War poster. Police refused to release him after she showed his journalistic ID.

In the western city of Pskov, the editor-in-chief of the Pskovskaya Guberniya newspaper,Denis Kamalyagin, and three of his colleagues were detained.Nataliya Vasilyeva, the Moscow correspondent for the British newspaper the Telegraph, reported that she was briefly detained by police in the capital. Many of the professional media workers who attended rallies as citizens rather than in a journalistic role were also detained.

IPI strongly condemns the cynical efforts by Russian authorities to supress and censor independent reporting on Russias invasion of Ukraine, IPI Deputy Director Scott Griffen said. We strongly oppose the attempts by the government and security forces to threaten media outlets into silence with fines or stifle independent journalism which threatens to puncture the Kremlins narrative. The arrest of clearly identifiable journalists who were simply covering a peaceful anti-war demonstration is a worrying sign of the increasing censorship likely to follow.

IPI praised the courage of journalists in Russia who have been resisting state censorship and speaking out in the name of peace. On Thursday, more than 200 Russian journalists, including those from Novaya Gazeta, Ekho Moskvy, Kommersant, Dozhd, Ekho Moskvy, Mediazona and state outlets signed anopen letteropposing what the Kremlin called an special military operation against Ukraine.

In response, Elena Chernenko, a special correspondent from Kommersant who organized an open letter from journalists, wasexpelledfrom the Russian Foreign Ministry pool of journalists and barred from attending Ministry events.

Independent media under attack

Over the past year, as IPI hasdocumented, independent journalism in Russia faced the biggest crackdown in more than a decade, as the authorities moved to solidify control by weaponizing a Soviet-styleforeign agent lawto blacklist independent media outlets and impose crippling fines, forcing advertisers to pull out and starving media financially.

The law requires branded outlets to disclose sources of funding and put a disclaimer in capital letters above every text they publish, warning viewers they are about to read content from a foreign agent. If media do not comply, they face large fines and criminal charges. Almost every single major investigative media outlet in Russia was added to the justice ministrys register, as well as major broadcasters such as Dozhd TV, meaning citizens reading independent reporting on the war will see the foreign agent label.

At the start of the coronavirus pandemic, lawmakers passed new additions to the criminal code, articles 207.1 and 207.2, under which media found to have deliberately spread false information about serious matters of public safety such as COVID-19 would face fines of up to 23,000 and up to five years in prison. The countrys media regulator Roskomnadzor continuously issuedtake down and correction ordersand threatened to block news websites over coverage, while one journalists were placed under criminal investigation after critical articles. International correspondents working from Russia were also refused visa extensions and forced to leave the country.

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IPIs global network expressed support for and solidaritywith our members and journalist colleagues in Ukraine and demanded that journalist safety and the right to cover developments independently and without fear of retaliation be protected.

IPI joined dozens of organisations in calling on the international communityto provide any possible assistance to those who are taking on the brave role of reporting from the war zone that is now Ukraine.

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Russia: Journalists reporting on Ukraine war face censorship and detentions - European Interest

Wading through crop fields searching for insects, diseases, weeds, nutrient deficiencies, uneven emergence, and other maladies consumes time and effort.

Even when the corn is just knee high, you can only see a couple hundred yards in each direction, points out J.D. Bethel, an agronomist with Integrated Ag Services (IAS), Milford Center, Ohio.

This makes it almost impossible to see emerging weeds like giant ragweed that quickly become, well, giant. IAS aims to nix this scenario and others by pairing artificial intelligence developed by Taranis with flights of unmanned aerial vehicles (UAVs) during the growing season.

Taranis officials say its AI2 SmartScout captures 0.3 millimeter per pixel resolution from UAVs at a speed of 100 acres in six minutes. In comparison, the best satellite resolution is about 1.2 meters per pixel, says Mike DiPaola, Taranis general manager of North America and vice president of global sales.

It can easily identify a bean leaf beetle or a Japanese beetle on a soybean leaf, says Bethel. We have even been able to count the hairs on a soybean leaf or the colors of the flowers on soybeans. Thats the sort of resolution it can achieve.

Confirmation still is required, of course. You still want to go out and check if it is indeed a waterhemp plant that the program has identified, says Bethel.

Even when making a field visit, this technology boosts scouting efficiency, according to IAS and Taranis officials. Taranis software also contains a feature that farmers and agronomists can use to prioritize field visits.

There may be only 15% of fields that they [agronomists and consultants] need to immediately visit, says Evan Delk, IAS vice president of sales and marketing. If theyre instead trying to get across every single acre, their time is not being utilized as it should be. Our consultants need to be in front of the grower, helping them make better decisions.

Gil Gullickson

Josh Guy with Integrated Ag Services readies an unmanned aerial vehicle for flight.

Keying all this is artificial intelligence (AI) developed by Taranis. Its image bank contains more than 50 million submillimeter high-resolution images of crop disease, insects, weeds, nutrient deficiencies, and other issues compiled by more than 100 agronomists. Through its AI engine, Taranis leverages machine learning and computer vision to help farmers and consultants identify field maladies.

For example, we will take pictures of a Japanese beetle and run them however long it takes for the AI to see a pattern, says Ofir Schlam, CEO and cofounder of Taranis.

Once the computer records the pest or malady, though, it remembers it.

Whats great about artificial intelligence is it doesnt think like us, says Josh Guy, IAS operations manager. It may detect soybean diseases in a field that human eyes may not see.

Integrated Ag Services

Imagery captured by unmanned aerial vehicles (UAVs) enables maps to be made that monitor crop emergence or emerging weeds deep in the canopy.

IAS offers early-season and late-season scouting packages for $9.75 per acre, while a full-season package costs $13.50 per acre. A full-season package is the best way for farmers to monitor their fields, says Delk. In the full-season package, IAS flies UAVs across fields about every 14 days, depending on weather and crop growth progression. This service also provides an aerial overview video of each field.

Whether youre scouting on foot or with a drone, you have no idea what is happening after you leave the field, says Bethel. There can be weeds coming up, plants dying from disease, or plants still emerging. Using the IPM [Integrated Pest Management] approach, we scout every two weeks with a drone looking for weeds that may influence changes to the existing herbicide program.

The UAV and AI combination can help a farmer decide whether or not to apply a fungicide, while nutrient scouting can influence whether to apply late-season nitrogen, says Delk.

The idea is to constantly have eyes on the field, he adds. Cost savings from making or forgoing a chemical application or late-season nitrogen pass or seed savings from a selective replant (see Easier Replant Decisions) can quickly surpass the $9.75 to $13.50 per acre cost, he adds.

Gil Gullickson

Umanned aerial vehicles can provide images that enable farmers to quickly make decisions.

Some 12 to 24 hours normally pass between a drone flight and the time maps are digitally delivered to a farmers desktop computer or mobile device, says Guy.

We plan flights in advance so once we get out to a field and set up, its as simple as hitting play on the flight plan, he points out. We still need to keep eyes and hands on the controller, but it is basically a preplanned flight with the UAV.

Challenges exist. One of the major impediments in getting good imagery is wind speeds, says Guy. Technically, this equipment can fly in winds up to 25 mph. Once you get past 10 to 15 mph though, the crop moves just enough for the camera to pick up that motion and blur the image.

So much information is collected that it can be overwhelming for the farmer.

The important part of getting the value out of the data is to make sure you have a trusted adviser to make sense out of it, says Delk.

Farmers are busy, adds Bethel. We can text a farmer with a report that says, These four fields look good, but you really need to look at field five. This is a huge time savings for them. They can better allocate the amount of time they do have for more important tasks.

Replanting is where unmanned aerial vehicles (UAVs) teamed with artificial intelligence particularly shine, says Evan Delk, vice president of sales and marketing for Integrated Ag Services (IAS).

Before, we went out in the field to do five plant stand counts in a 100-acre field, he says. Now, we take high-resolution images [with the UAV] every one-half acre, which creates many data points that the farmer can use to decide whether to replant.

It takes a lot of the emotion out of the replant decision, adds J.D. Bethel, IAS agronomist. Instead of driving back and forth through the whole field wondering where they need to plant, the map shows them the worst parts of the field where they need to replant.

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UAVs team with artificial intelligence to boost crop scouting efficiency - Successful Farming