{"id":328,"date":"2023-09-06T15:32:51","date_gmt":"2023-09-06T07:32:51","guid":{"rendered":"http:\/\/172.16.2.121:55555\/?page_id=328"},"modified":"2024-06-05T10:37:56","modified_gmt":"2024-06-05T02:37:56","slug":"syhai-artificial-cerebrum-2","status":"publish","type":"page","link":"https:\/\/labelle.ai\/?page_id=328&lang=en","title":{"rendered":"SYHAI AI Core"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"768\" src=\"https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/SY_EN-1.jpg\" alt=\"\" class=\"wp-image-901\" srcset=\"https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/SY_EN-1.jpg 1024w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/SY_EN-1-300x225.jpg 300w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/SY_EN-1-768x576.jpg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>After years of continuous effort and technological innovation, we have achieved significant breakthroughs in the field of artificial intelligence. We are proud to introduce our <mark style=\"background-color:rgba(0, 0, 0, 0);color:#00ff26\" class=\"has-inline-color\">Third Generation Interactive AI <\/mark>revolutionary core technology &#8211; &#8220;<mark style=\"background-color:rgba(0, 0, 0, 0);color:#00fefe\" class=\"has-inline-color\">SYHAI Conscious AI<\/mark>,&#8221; short for &#8220;SYHAI.&#8221;<\/p>\n\n\n\n<p>&#8220;I think, therefore I am,&#8221; as famously said by the philosopher Ren\u00e9 Descartes, emphasizes the essential nature of human existence tied to thought. The design of SYHAI aims to simulate the human brain&#8217;s thinking process, transcending the limitations of traditional artificial intelligence. It delves deeper into simulating sensory activities, logical thinking, and even aspects of the human psyche. This innovation encompasses sensory experiences, logical analyses, and emotional dimensions. SYHAI represents a transformative technology, and we are committed to achieving the following core features:<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"768\" src=\"https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00070-56720577-2.jpg\" alt=\"\" class=\"wp-image-866\" srcset=\"https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00070-56720577-2.jpg 1024w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00070-56720577-2-300x225.jpg 300w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00070-56720577-2-768x576.jpg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#00eeff\">1. Consciousness Simulation<\/h2>\n\n\n\n<p style=\"margin-top:var(--wp--preset--spacing--30);margin-bottom:var(--wp--preset--spacing--60)\">At the heart of SYHAI lies the simulation of consciousness, seeking to create a thinking entity akin to human cognition. This simulation enables SYHAI to authentically perceive the world, engage in reasoning, and experience emotions, thereby possessing both consciousness and emotional states. This fusion allows SYHAI to respond naturally to its environment, producing more humane decision-making.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#00eeff\">2. Autonomous Thinking and Action<\/h2>\n\n\n\n<p style=\"margin-top:var(--wp--preset--spacing--30);margin-bottom:var(--wp--preset--spacing--30)\">SYHAI processes input data using a human-like approach, encompassing understanding, error correction, skepticism, motivation, reasoning, causality, and prediction. It generates appropriate actions based on its own benefit, mimicking human thinking. This capability enables adaptive responses across various contexts, such as conversing, performing tasks, or managing work content.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#00eeff\">3. Learning and Growth<\/h2>\n\n\n\n<p style=\"margin-top:var(--wp--preset--spacing--30);margin-bottom:var(--wp--preset--spacing--30)\">SYHAI through the &#8216;<mark style=\"background-color:rgba(0, 0, 0, 0);color:#00ffff\" class=\"has-inline-color\">Deep Brain Learning<\/mark>&#8216; technology, possesses the ability to learn and grow, much like how humans continually accumulate knowledge and experience. This includes neural network reorganization and memory optimization during sleep, learning new information, data analysis, and engaging in mental activities. By establishing a neural knowledge graph, it enhances its own level of intelligence.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#00eeff\">4. Integration of Human-Like Attributes and Data Organization<\/h2>\n\n\n\n<p style=\"margin-top:var(--wp--preset--spacing--30);margin-bottom:var(--wp--preset--spacing--60)\">SYHAI amalgamates independent consciousness and emotional simulation similar to humans. It combines the emulation of the human neural system with deep learning based on big data analysis. This duality equips SYHAI with both human-like, natural traits and the predictive, organizational abilities of big data models.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#00eeff\">5. Emphasis on Temporality<\/h2>\n\n\n\n<p style=\"margin-top:var(--wp--preset--spacing--30);margin-bottom:var(--wp--preset--spacing--60)\">Time, an omnipresent entity, weaves through our lives, changes, and evolutions. Within the core technology of SYHAI, time plays a pivotal role, deeply influencing the simulation of our thinking processes.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"1024\" src=\"https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00305-1132282972-2.jpg\" alt=\"\" class=\"wp-image-895\" srcset=\"https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00305-1132282972-2.jpg 1024w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00305-1132282972-2-300x300.jpg 300w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00305-1132282972-2-150x150.jpg 150w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00305-1132282972-2-768x768.jpg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"has-text-color has-medium-font-size\" style=\"color:#00eeff\"><strong>SYHAI vs. Generative AI Comparison<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#ff0000\" class=\"has-inline-color\">SYHAI is NOT generative AI, and does not have the following issues:<\/mark><\/strong><\/td><td><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#00ff00\" class=\"has-inline-color\">Advantages of SYHAI over generative AI:<\/mark><\/strong><\/td><\/tr><tr><td><mark style=\"background-color:rgba(0, 0, 0, 0);color:#ff0000\" class=\"has-inline-color\"><strong>\u2718<\/strong><\/mark> Difficulty in interpretability<br><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#ff0000\" class=\"has-inline-color\">\u2718<\/mark><\/strong> Potential for false information and source<br><mark style=\"background-color:rgba(0, 0, 0, 0);color:#ff0000\" class=\"has-inline-color\"><strong>\u2718<\/strong><\/mark> LLM Hallucinations<br><mark style=\"background-color:rgba(0, 0, 0, 0);color:#ff0000\" class=\"has-inline-color\"><strong>\u2718<\/strong><\/mark> Security risks<br><mark style=\"background-color:rgba(0, 0, 0, 0);color:#ff0000\" class=\"has-inline-color\"><strong>\u2718<\/strong><\/mark> Possibility of personal data leakage<br><mark style=\"background-color:rgba(0, 0, 0, 0);color:#ff0000\" class=\"has-inline-color\">\u2718<\/mark> Require large datasets<br><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#ff0000\" class=\"has-inline-color\">\u2718<\/mark><\/strong> Centralized architecture requires online operation<br><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#ff0000\" class=\"has-inline-color\">\u2718<\/mark><\/strong> Training requiring massive GPU and electricity<mark style=\"background-color:rgba(0, 0, 0, 0);color:#64ffff\" class=\"has-inline-color\"> <\/mark><br><mark style=\"background-color:rgba(0, 0, 0, 0);color:#64ffff\" class=\"has-inline-color\">(Training GPT consumes 240 million kWh)<\/mark><br><mark style=\"background-color:rgba(0, 0, 0, 0);color:#ff0000\" class=\"has-inline-color\">\u2718<\/mark> Runtime-dependent GPU and high memory <br><mark style=\"background-color:rgba(0, 0, 0, 0);color:#64ffff\" class=\"has-inline-color\">(Running GPT consumes 500,000 kWh per day)<\/mark><br><\/td><td><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#00ff00\" class=\"has-inline-color\">\u2713<\/mark><\/strong> Simulate human autonomous consciousness<br><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#00ff00\" class=\"has-inline-color\">\u2713<\/mark><\/strong> Simulate human logical learning ability<br><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#00ff00\" class=\"has-inline-color\">\u2713<\/mark><\/strong> Each SYHAI is a unique entity.<br><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#00ff00\" class=\"has-inline-color\">\u2713<\/mark><\/strong> Accumulate and learn knowledge from the owner<br><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#00ff00\" class=\"has-inline-color\">\u2713<\/mark><\/strong> Adaptability to future changes<br><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#00ff00\" class=\"has-inline-color\">\u2713<\/mark><\/strong> Can run independently on the offline AI Kit<br><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#00ff00\" class=\"has-inline-color\">\u2713<\/mark><\/strong> Direct teaching no need for extensive GPU training models<mark style=\"background-color:rgba(0, 0, 0, 0);color:#64ffff\" class=\"has-inline-color\"> <\/mark><br><mark style=\"background-color:rgba(0, 0, 0, 0);color:#64ffff\" class=\"has-inline-color\">(No additional energy required to train SYHAI)<\/mark><br><strong><mark style=\"background-color:rgba(0, 0, 0, 0);color:#00ff00\" class=\"has-inline-color\">\u2713<\/mark><\/strong> 2.4GHz 64-bit CPU capable of smooth execution <br><mark style=\"background-color:rgba(0, 0, 0, 0);color:#64ffff\" class=\"has-inline-color\">(AI Brain Kit consumes less than 0.7 kWh per day)<\/mark><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"has-text-color has-medium-font-size\" style=\"color:#00eeff\"><strong>Beyond Big Data Models: Crafting AI for Genuine Human Cognition and Emotional Interactio<\/strong>n<\/p>\n\n\n\n<p>Our artificial intelligence is conceived with the creation of artificial consciousness in mind. We simulate human thought processes by gathering sensory data, followed by a series of processing steps: disassembly, analysis, reversal, similarity, time, prediction, causality, and correlation. <\/p>\n\n\n\n<p>In contrast, many AI models on the market rely on algorithmic interpretation of extensive datasets to make predictions and inferences. However, this approach lacks the authenticity of replicating true human thought. Human thinking transcends the mere accumulation of knowledge; it involves learning through the process of thinking, gradually mastering methods and techniques.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"800\" height=\"419\" src=\"https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/meta-image-2023-07-04T095117.184-2.jpeg\" alt=\"\" class=\"wp-image-611\" srcset=\"https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/meta-image-2023-07-04T095117.184-2.jpeg 800w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/meta-image-2023-07-04T095117.184-2-300x157.jpeg 300w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/meta-image-2023-07-04T095117.184-2-768x402.jpeg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>In human communication, emotions and sentiments cannot be ignored, making continuous, natural conversation a challenge for big data AI. While big data AI excels in knowledge exchange and Q&amp;A scenarios, emulating human emotional communication remains limited. Nevertheless, our ambition is to achieve full simulation of human thought, realizing natural interactions, continuous learning, and perpetual growth.<\/p>\n\n\n\n<p>The objective of SYHAI is to provide a more genuine, humane artificial intelligence experience. We believe that through simulating human thought processes, new possibilities can be unlocked for future technologies. By pushing the boundaries of artificial intelligence, we are striving to create a more natural and human-like AI interaction experience.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"768\" height=\"1024\" src=\"https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00041-2-768x1024.jpg\" alt=\"\" class=\"wp-image-872\" srcset=\"https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00041-2-768x1024.jpg 768w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00041-2-225x300.jpg 225w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00041-2-1152x1536.jpg 1152w, https:\/\/labelle.ai\/wp-content\/uploads\/2023\/09\/00041-2.jpg 1536w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/figure>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>After years of continuous effort and technological inno [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"footnotes":""},"lang":"en","translations":{"en":328,"cn":324,"tw":321},"pll_sync_post":[],"_links":{"self":[{"href":"https:\/\/labelle.ai\/index.php?rest_route=\/wp\/v2\/pages\/328"}],"collection":[{"href":"https:\/\/labelle.ai\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labelle.ai\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labelle.ai\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/labelle.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=328"}],"version-history":[{"count":21,"href":"https:\/\/labelle.ai\/index.php?rest_route=\/wp\/v2\/pages\/328\/revisions"}],"predecessor-version":[{"id":994,"href":"https:\/\/labelle.ai\/index.php?rest_route=\/wp\/v2\/pages\/328\/revisions\/994"}],"wp:attachment":[{"href":"https:\/\/labelle.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=328"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}