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Yes, SQL operations can be reduced to set theory concepts, which can be implemented on hardware like a chip. SQL queries, particularly involving joins, selections, and projections, are essentially set operations (union, intersection, etc.) and can be mapped to algebraic operations. Specialized hardware such as database processing units (DPUs) can be optimized to handle these set operations efficiently, similar to how NPUs accelerate matrix multiplications in deep learning.
Yes, stream processing could potentially be reduced to a "calculus chip" by implementing the key principles of calculus, such as differentiation (rate of change) and integration (accumulation of values over time), directly in hardware. This chip would need to handle continuous data streams by performing real-time calculations on these flows, analogous to how calculus deals with continuous changes in variables. Specialized hardware, like FPGAs or ASICs, could be designed to efficiently process continuous data streams using calculus-like operations, improving the performance and efficiency of stream processing tasks in real time.
Topology is central because it deals with spatial properties and continuous transformations, mirroring the brain's ability to recognize patterns, structures, and relationships that remain consistent even when deformed or transformed, much like how human cognition processes abstract ideas.
Topology is relevant because it allows the brain to recognize essential patterns or shapes regardless of deformation, like seeing faces in clouds. This phenomenon, known as *pareidolia*, illustrates how the brain identifies and interprets familiar patterns within random or ambiguous stimuli, similar to how topology studies the fundamental properties of shapes that persist through transformations.
MongoDB primarily relies on **set theory**, as it organizes data into collections of documents, treating data as elements within sets for querying and manipulation.
bro thank you very much . i am a maths teacher , suddenly the school management asked me to take artificial intelligence subject for cbse 10th grade. i have no knowledge in computer science. i was worried how am i going to explain it. after watching this video i have gained some confidence. thank you
Bro, doubt, i1.n linked in if search job of deep learning then its not showing anything, why? 2.to be a deep learning developer what have to do? 3. What is the package for 1 year experienced deep learning developer?
Deep learning can be reduced to matrix multiplication and accumulation operations, efficiently handled by NPUs for high-performance AI processing on a chip. Drafted by AI
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Google lens is still a born child. It needs to be matured alot
Based learning pathiii solunga
Great Explanation in a simple way.. Thanks for your effort!
You are welcome!
bro oru request bro ,
vedios la background music podadhinga bro seriya kavanika mudiyala ,
neenga soldradhu romba nalla puriyudhu best aah soldringa aana background music irukuradhu naala seriya kavanikka mudiyala bro
Yes, SQL operations can be reduced to set theory concepts, which can be implemented on hardware like a chip. SQL queries, particularly involving joins, selections, and projections, are essentially set operations (union, intersection, etc.) and can be mapped to algebraic operations. Specialized hardware such as database processing units (DPUs) can be optimized to handle these set operations efficiently, similar to how NPUs accelerate matrix multiplications in deep learning.
Yes, stream processing could potentially be reduced to a "calculus chip" by implementing the key principles of calculus, such as differentiation (rate of change) and integration (accumulation of values over time), directly in hardware. This chip would need to handle continuous data streams by performing real-time calculations on these flows, analogous to how calculus deals with continuous changes in variables. Specialized hardware, like FPGAs or ASICs, could be designed to efficiently process continuous data streams using calculus-like operations, improving the performance and efficiency of stream processing tasks in real time.
Topology is central because it deals with spatial properties and continuous transformations, mirroring the brain's ability to recognize patterns, structures, and relationships that remain consistent even when deformed or transformed, much like how human cognition processes abstract ideas.
Topology is relevant because it allows the brain to recognize essential patterns or shapes regardless of deformation, like seeing faces in clouds. This phenomenon, known as *pareidolia*, illustrates how the brain identifies and interprets familiar patterns within random or ambiguous stimuli, similar to how topology studies the fundamental properties of shapes that persist through transformations.
MongoDB primarily relies on **set theory**, as it organizes data into collections of documents, treating data as elements within sets for querying and manipulation.
Very informative! Nicely Articulated
Glad it was helpful!
bro thank you very much . i am a maths teacher , suddenly the school management asked me to take artificial intelligence subject for cbse 10th grade. i have no knowledge in computer science. i was worried how am i going to explain it. after watching this video i have gained some confidence. thank you
You are most welcome!
Hi sir. Ur explanation was clear. I like it and need to learn more things I your video.Thank you
You are most welcome
Please make a video about digital transformation
Sure will do
Excellent Karthy keep it up
Thank you so much
useful video bro.hatts off
Thanks!
Bro simply explain about the ocean 🌊
Excellent Presentation 🎉
Thank you
Can you pls upload more videos machine and deep learning
Sure
wonderful explaination bro thanks lots 🎉
Most welcome
Epavu pola thelivana pathivu bro🔥🔥🔥🔥
Thanks!
Smart presentation
Thank you
Awesome bro.
Bro, doubt, i1.n linked in if search job of deep learning then its not showing anything, why? 2.to be a deep learning developer what have to do? 3. What is the package for 1 year experienced deep learning developer?
Bro Product Management pathi explain pannunga bro
Sure!
Put more content on machine learning 💓
Sure!
Great Explanation Karthik!! Overall both methods are constantly advancing and being used in various industries.
Thank you Krishna! Agree!!
Very nice 👍
Thank you
Good explanation
Thanks
வெரி நைஸ் எக்ஸ்பிளநேஷன் அண்ணா❤
நன்றி
Excellent
Thanks
Thanks
Welcome
HI THALAIVA 💙💙💙
Hi bro, network engineering career path,market job opportunities, certification course pathi video podunga
Sure
Bro deep learning algorithm pathi podunga
We have video in our channel already. You can check
சூப்பர் pa
Thanks
oru app create panna ena use pannanum machine learning or deep learning ah
Cloud azure course poduinga bro
Sure
Mass na nee🎉
Thanks
Hi bro,
Unga video content pdf ha kidaikuma
It's useful for competative exam students
Will try to create brother
Super bro
Thanks bro
Bro machine learning+ deep learning padikkanum unga kitta course irukka
Coming soon brother
@@KarthiksShow ok bro
Unga contact number kitaikkuma bro
Please drop a note with your contact information to karthiksshow.enquiries@gmail.com
Bro course ready பண்ணிட்டீங்களா
எனக்கு course வேண்டும்
Working on it bro
Itro la podatha pa, Yan time waste pannitaya
🔥
Deep learning can be reduced to matrix multiplication and accumulation operations, efficiently handled by NPUs for high-performance AI processing on a chip.
Drafted by AI
Hi sir I need ur help How will be contact with you
You can drop a note to karthiksshow.enquiries@gmail.com
Bro Degree illa ma hacker avalama bro
With internet you can learn yourself or take an online course
Computers will never learn its just math and minimising errors stupid explanation
nice explanation