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Response
200 OK
IP
18.225.92.173
Profiled on
Token
e4b8a4

ArticleController :: show

Request

GET Parameters

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Response

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date 
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Session 6

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Key Value
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Last used 
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Lifetime 
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Stateless check enabled
Usage
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:79
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Show trace 
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Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage:41
Show trace 
[
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Symfony\Component\Security\Http\Firewall\ContextListener:171
Show trace 
[
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Flashes

Flashes

No flash messages were created.

Server Parameters

Server Parameters

Defined in .env

Key Value
APP_ENV 
"dev"
APP_SECRET 
"0a988e63f011514eaabfc650b599af4d"
CORS_ALLOW_ORIGIN 
"*"
DATABASE_URL 
"mysql://bbndb_rctuser:33F5W25z40or0f7@localhost:3306/rct_bbntimes"
GOOGLE_RECAPTCHA_SECRET_KEY 
"6LdV5fgpAAAAANxzTG8ZMfIjil1wu-1vrQvnUt-x"
GOOGLE_RECAPTCHA_SITE_KEY 
"6LdV5fgpAAAAAENKcn73MJAhQrbtQeqgyC4wDLMP"
MAILER_DSN 
"smtp://no-reply%40rct.dev.bbntimes.com:Bl6%26gLD48%26Of919@rct.dev.bbntimes.com:465"
MARIADB_PASSWORD 
"i!87pK&!85ezc8"

Defined as regular env variables

Key Value
APP_DEBUG 
"1"
BASE 
"/public"
CONTEXT_DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
CONTEXT_PREFIX 
""
DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
FCGI_ROLE 
"RESPONDER"
GATEWAY_INTERFACE 
"CGI/1.1"
HTTPS 
"on"
HTTP_ACCEPT 
"*/*"
HTTP_ACCEPT_ENCODING 
"gzip, br, zstd, deflate"
HTTP_CONNECTION 
"close"
HTTP_COOKIE 
"care_did=ed0a9e2b-28af-429f-a0b9-533f3e767466; PHPSESSID=3c5n4j56kp9nue5ochefn2ob0l"
HTTP_HOST 
"rct.dev.bbntimes.com"
HTTP_USER_AGENT 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
PATH 
"/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin"
PHP_SELF 
"/public/index.php"
PP_CUSTOM_PHP_CGI_INDEX 
"plesk-php81-fastcgi"
PP_CUSTOM_PHP_INI 
"/var/www/vhosts/system/rct.dev.bbntimes.com/etc/php.ini"
QUERY_STRING 
""
REDIRECT_BASE 
"/public"
REDIRECT_HTTPS 
"on"
REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_HTTPS 
"on"
REDIRECT_REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/science/what-is-the-difference-between-the-learning-curve-of-machine-learning-and-artificial-intelligence"
REDIRECT_REDIRECT_SCRIPT_URL 
"/science/what-is-the-difference-between-the-learning-curve-of-machine-learning-and-artificial-intelligence"
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"rct.dev.bbntimes.com"
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"200"
REDIRECT_REDIRECT_UNIQUE_ID 
"Z7nWl5DyWLT8YV1VjBpduQAAAJY"
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"https://rct.dev.bbntimes.com/science/what-is-the-difference-between-the-learning-curve-of-machine-learning-and-artificial-intelligence"
REDIRECT_SCRIPT_URL 
"/science/what-is-the-difference-between-the-learning-curve-of-machine-learning-and-artificial-intelligence"
REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_STATUS 
"200"
REDIRECT_UNIQUE_ID 
"Z7nWl5DyWLT8YV1VjBpduQAAAJY"
REDIRECT_URL 
"/public/science/what-is-the-difference-between-the-learning-curve-of-machine-learning-and-artificial-intelligence"
REMOTE_ADDR 
"18.225.92.173"
REMOTE_PORT 
"61713"
REQUEST_METHOD 
"GET"
REQUEST_SCHEME 
"https"
REQUEST_TIME 
1740232344
REQUEST_TIME_FLOAT 
1740232344.2779
REQUEST_URI 
"/science/what-is-the-difference-between-the-learning-curve-of-machine-learning-and-artificial-intelligence"
SCRIPT_FILENAME 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
SCRIPT_NAME 
"/public/index.php"
SCRIPT_URI 
"https://rct.dev.bbntimes.com/science/what-is-the-difference-between-the-learning-curve-of-machine-learning-and-artificial-intelligence"
SCRIPT_URL 
"/science/what-is-the-difference-between-the-learning-curve-of-machine-learning-and-artificial-intelligence"
SERVER_ADDR 
"5.196.1.209"
SERVER_ADMIN 
"[no address given]"
SERVER_NAME 
"rct.dev.bbntimes.com"
SERVER_PORT 
"443"
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App\Entity\Article {#1094
  -id: 9214
  -title: "What is the Difference Between The Learning Curve of Machine Learning and Artificial Intelligence?"
  -slug: "what-is-the-difference-between-the-learning-curve-of-machine-learning-and-artificial-intelligence"
  -introtext: """
    <div class="q-relative qu-borderAll qu-borderWidth--retinaOverride qu-borderWidth--regular qu-borderRadius--medium qu-overflow--hidden">\r\n
    <div id=":1ex" class="Ar Au Ao">\r\n
    <div id=":1et" class="Am Al editable LW-avf tS-tW tS-tY" tabindex="1" role="textbox" contenteditable="true" spellcheck="false" aria-label="Message Body" aria-multiline="true">\r\n
    <p><a href="technology/machine-learning-a-beginners-guide-and-why-is-it-important-for-your-business" target="_blank">Machine learning&nbsp;(ML)</a> is the study of computer&nbsp;algorithms&nbsp;that improve automatically through experience and by the use of data.</p>\r\n
    """
  -content: """
    \r\n
    <p><a href="technology/how-to-leverage-artificial-intelligence-in-your-organisation" target="_blank">Artificial intelligence (AI</a>)&nbsp;is&nbsp;intelligence&nbsp;demonstrated by&nbsp;machines, as opposed to the&nbsp;natural intelligence displayed by humans&nbsp;or&nbsp;animals.&nbsp;</p>\r\n
    <h2>What is Artificial Intelligence &amp; Why It Matters?</h2>\r\n
    <p><img src="/images/AI_ML_DL.jpg" alt="AI_ML_DL.jpg" width="706" height="728" /></p>\r\n
    <p><strong><span style="color: #808080;"><em>Source: Medium<br /><br /></em></span></strong></p>\r\n
    <p>The term artificial intelligence was coined in 1956, but AI has become more popular today thanks to increased data volumes, advanced algorithms, and improvements in computing power and storage.&nbsp;<br /><br /></p>\r\n
    <p><img src="/images/Screenshot_2021-07-29_at_18.16.49.png" alt="Screenshot_2021-07-29_at_18.16.49.png" width="904" height="491" /></p>\r\n
    <p><em><span style="color: #808080;"><strong>Source: SAS</strong></span></em><span style="color: #808080;"></span></p>\r\n
    <p>Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.&nbsp;Artificial intelligence is important because it automates repetitive learning and discovery through data.&nbsp;Instead of automating manual tasks, AI performs frequent, high-volume, computerized tasks. And it does so reliably and without fatigue. Of course, humans are still essential to set up the system and ask the right questions.</p>\r\n
    <h2>What is Machine Learning &amp; Why It Matters?</h2>\r\n
    <p class="gmail-q-text gmail-qu-display--block">Machine learning is a subset of artificial intelligence, that automates analytical model building based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Using statistical learning technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing correlations and patterns in the data.</p>\r\n
    <div class="gmail-q-relative gmail-qu-borderAll gmail-qu-borderWidth--retinaOverride gmail-qu-borderWidth--regular gmail-qu-borderRadius--medium gmail-qu-overflow--hidden">There are plenty of examples of how easy it is to break the leading pattern-recognition technology in ML/DL, known as deep neural networks (DNNs). These have proved incredibly successful at correctly classifying all kinds of input, including images, speech and data on consumer preferences. But DNNs are fundamentally brittle, taken into unfamiliar territory, they break in unpredictable ways. DNNs do not actually understand the world. Loosely modelled on the architecture of the brain, they are software structures made up of large numbers of digital neurons arranged in many layers. Each neuron is connected to others in layers above and below it.</div>\r\n
    <p class="gmail-q-text gmail-qu-display--block">That could lead to substantial problems. Deep-learning systems are increasingly moving out of the lab into the real world, from&nbsp;<span class="gmail-q-inline"><a class="gmail-q-box gmail-qu-cursor--pointer gmail-qu-hover--textDecoration--underline gmail-Link___StyledBox-t2xg9c-0 gmail-roKEj" title="www.nature.com" href="https://www.nature.com/news/autonomous-vehicles-no-drivers-required-1.16832" target="_blank" rel="noopener nofollow">piloting self-driving cars</a></span>&nbsp;to&nbsp;<span class="gmail-q-inline"><a class="gmail-q-box gmail-qu-cursor--pointer gmail-qu-hover--textDecoration--underline gmail-Link___StyledBox-t2xg9c-0 gmail-roKEj" title="www.nature.com" href="https://www.nature.com/news/there-is-a-blind-spot-in-ai-research-1.20805" target="_blank" rel="noopener nofollow">mapping crime</a></span>&nbsp;and&nbsp;<span class="gmail-q-inline"><a class="gmail-q-box gmail-qu-cursor--pointer gmail-qu-hover--textDecoration--underline gmail-Link___StyledBox-t2xg9c-0 gmail-roKEj" title="www.nature.com" href="https://www.nature.com/articles/d41586-019-02870-4" target="_blank" rel="noopener nofollow">diagnosing disease</a></span>.</p>\r\n
    <div class="gmail-q-box gmail-qu-mx--n_medium">\r\n
    <div class="gmail-q-inlineBlock">\r\n
    <div class="gmail-q-relative" style="text-align: justify;"><img class="gmail-q-image gmail-qu-display--block" src="https://qph.fs.quoracdn.net/main-qimg-c90d122fe514065abc9ad33c919ca3a0" alt="" width="901" height="338" /></div>\r\n
    </div>\r\n
    </div>\r\n
    <p class="gmail-q-text gmail-qu-display--block" style="text-align: justify;"><em><span style="color: #808080;"><strong>An AI footballer in a simulated penalty-shootout is confused when the AI goalkeeper enacts an ‘adversarial policy’: falling to the floor (right) | Credit: Adam Gleave</strong></span></em></p>\r\n
    <p class="gmail-q-text gmail-qu-display--block"><br />It was possible to use adversarial examples not only to fool a DNN, but also to reprogram it entirely — effectively repurposing an AI trained on one task to do another.<br /><br /></p>\r\n
    <p class="gmail-q-text gmail-qu-display--block">There are no fixes for the fundamental brittleness of noise/pixel-fooled DNNs, but making real AIs that can model, explore and exploit the world for themselves, write their own code and retain memories.</p>\r\n
    <h2>What is Deep Learning?</h2>\r\n
    <p>Deep Learning<b>&nbsp;</b>is a specific class of machine learning algorithms that use complex neural networks. The building block of the brain is the neuron, while the basic building block of an artificial neural network is a perceptron that accomplishes signal processing. Perceptrons are then connected into a large mesh network. The neural network is taught how to perform a task by having it process and analyze examples, which have been previously labeled. For example, in an object recognition task, the neural network is presented with a large number of objects of a certain type (i.e. a dog, a car). The neural network learns to categorize new images by having been “trained” on recurring patterns. This approach combines advances in computing power and neural networks to learn complex patterns in large amounts of data.</p>\r\n
    <h3>Types of learning:</h3>\r\n
    <ol>\r\n
    <li>Supervised – feeding machine labelled data</li>\r\n
    <li>Unsupervised – Learning with no training data or examples i.e. clustering and dimensionality reduction</li>\r\n
    <li>Reinforcement – mimics the process of training animals through punishments and rewards</li>\r\n
    </ol>\r\n
    <h2 class="gmail-q-text gmail-qu-display--block">What is the Biggest Challenge of Artificial Intelligence and Machine Learning?</h2>\r\n
    <p style="text-align: justify;"><img src="/images/AI_Challenges.png" alt="AI_Challenges.png" width="900" height="742" /></p>\r\n
    <p><em><span style="color: #808080;"><strong>Source: Forbes &amp; IBM</strong></span></em><br /><br /></p>\r\n
    <p class="gmail-q-text gmail-qu-display--block">Contrary to popular assumptions, the biggest challenge facing companies with artificial intelligence (AI) isn’t a lack of data scientists but rather data itself. Companies need more of it in every form—structured, unstructured and otherwise.&nbsp;</p>\r\n
    <div class="gmail-q-flex gmail-qu-justifyContent--space-between">\r\n
    <div class="gmail-q-box gmail-qu-p--medium gmail-qu-hover--bg--darken gmail-qu-overflow--hidden">\r\n
    <div class="gmail-q-flex gmail-qu-verticalAlign--middle gmail-qu-alignItems--center">\r\n
    <div class="gmail-q-box gmail-qu-overflow--hidden">\r\n
    <h2 class="gmail-q-text gmail-qu-truncateLines--3 gmail-qu-bold gmail-qu-color--gray_dark_dim gmail-qu-wordBreak--break-word">Why Deep-Learning Networks Are So Easy To Fool?</h2>\r\n
    <p><img src="/images/Why_Deep-Learning_Networks_Are_So_Easy_To_Fool_.png" alt="Why_Deep-Learning_Networks_Are_So_Easy_To_Fool_.png" width="901" height="848" /></p>\r\n
    <p><em><span style="color: #808080;"><strong>Source: Nature</strong></span></em><br /><br /></p>\r\n
    <div class="gmail-q-text gmail-qu-truncateLines--1 gmail-qu-color--gray gmail-qu-fontSize--small gmail-qu-mt--tiny">Artificial-intelligence researchers are trying to fix the flaws of neural networks.</div>\r\n
    </div>\r\n
    </div>\r\n
    </div>\r\n
    </div>\r\n
    <p class="gmail-q-text gmail-qu-display--block">These kinds of systems will form the story of the coming decade in AI research, emerging as a real true or causal AI with “a deep understanding of the structure of the world”.</p>\r\n
    <p class="gmail-q-text gmail-qu-display--block">Real AI enables machines or software applications to effectively interact with any environment, while understanding the world and learning from experience, and performing any human-like tasks and beyond.</p>\r\n
    <p class="gmail-q-text gmail-qu-display--block">Of many known definitions, just a few are close to real AI systems:&nbsp;“An AI system is a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments”. [OECD/LEGAL/0449]</p>\r\n
    <p class="gmail-q-text gmail-qu-display--block">All sectoral applications in the public sectors of various industries, from agriculture and forestry to manufacturing, healthcare, education and government imply the real world AI systems.</p>\r\n
    <p class="gmail-q-text gmail-qu-display--block">The most advanced use case of real AI in the agricultural sector is known as precision agriculture, where AI enabled processing of data allows farmers to make temporally and spatially tailored management decisions, leading to a more efficient use of agricultural inputs, such as fertilisers and pesticides. And the required data is generated through remote sensing technologies using satellites, planes and unmanned aerial vehicles (drones) and through on the ground sensors in combination with IoT technology.</p>\r\n
    <p class="gmail-q-text gmail-qu-display--block">But even a blind pattern recognition with predictive ML algorithms is so extremely powerful that it is good enough to have made companies such as Apple, Microsoft and Amazon, Facebook and Google, Alibaba, Tencent, Amazon the most valuable in the world.</p>\r\n
    <p class="gmail-q-text gmail-qu-display--block">But there’s a much bigger wave coming. And this will be about superintelligent machines that manipulate the world and create their own data through their own actions. [Jürgen Schmidhuber at the Dalle Molle Institute for Artificial Intelligence Research in Manno, Switzerland].</p>\r\n
    <p class="gmail-q-text gmail-qu-display--block">We talk about the next generation of MI, Real World AI and Machine Learning. Its universe of discourse is the whole world with all its sub-worlds.</p>\r\n
    <p class="gmail-q-text gmail-qu-display--block">Such a Universe is modeled as consisting of 4 major parts, the universe of Nature (World I), the domain of Mind (World II), the domain of Society and Human Culture (World III), and the realm of Technology and Engineering and Industry (World IV).</p>\r\n
    <p class="gmail-q-text gmail-qu-display--block"><a href="https://www.barnesandnoble.com/w/disrupting-modern-science-technology-and-engineering-azamat-abdoullaev/1124928174" target="_blank" rel="noopener">Science and technology, the arts and philosophy are unified as a web of intellectual learning, scientific knowledge, and engineering sciences</a>. A union of human knowledge defined as the “wisdom science” (or scientific wisdom).</p>\r\n
    <p class="gmail-q-text gmail-qu-display--block">It is affording a framework for the most life-critical innovations and breakthroughs, from the Internet of Everything to Theory of Everything, Emerging Technologies to Intelligent Cities and Connected Smart World, all integrated by the Real World AI and ML.&nbsp;</p>\r\n
    <h2>Conclusion</h2>\r\n
    <p>Companies that don’t adop machine learning and AI technologies are destined to be left behind. Most industries are already being changed by the emergence of AI.&nbsp;2021 has shown a growing confidence in artificial intelligence and its predictive technology. However, for it to achieve its full potential, <a href="technology/what-is-the-state-of-the-art-future-of-artificial-intelligence" target="_blank" rel="noopener">AI needs to be trusted by companies</a>.&nbsp;</p>\r\n
    </div>\r\n
    </div>\r\n
    </div>
    """
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