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Pinaki Laskar

2X Founder, AI Scientist, Cognitive Technologist | Inventor - Autonomous L4+ | Innovator - Gen AI, Web X.0, Meta Mobility, ESG | Transformative Leader, Industry X.0 Practitioner, Data & AI Platformization Expert

Pinaki Laskar is a technoholic individual with a passion for technology and innovation. He utilizes LinkedIn as a platform to share his insights and ideas on Artificial Intelligence, deep tech, and the future of technology.

Pinaki has a strong background in product design, particularly in the field of technology. His expertise lies in developing AI-powered tools, enhancing smart devices, and creating innovative solutions for connected devices.

With a focus on growth hacking and a deep understanding of the impact of technology on everyday life, Pinaki advocates for adapting to technological changes in creative and innovative ways.

He holds a Post Doctorate in General AI, HMI, and AI Ethics, as well as a Doctor's Degree in Computer and Information Sciences. His educational background also includes studies in Software Engineering and Physical Sciences.

Having worked in various key roles such as Director, Chief Technology Officer, CEO, Creative Technologist, and Software Developer at organizations like FishEyeBox AI, RoboApp Technologies, Pinaki Inc., and more, Pinaki has honed his skills across different domains within the technology industry.

Highlights

Aug 29 · linkedin

CSI-TechNext India 2024 on August 30th, 2024.

#CSITechNextIndia #computersocietyofindia #csimumbai #CSITechNext2024 #IndustryAcademia #AcademicExcellence

Aug 28 · linkedin

Why Look at #AI as the science and technology of intelligence and not as the ability of digital computers or computer-controlled robots to mimic human?

Artificial Intelligence is built upon several key components that work together to enable intelligent machines, as Data, ML Algorithms, Computing Power (CPU/GPU/TPU), and ML/DL models. AI models are mathematical representations of real-world processes created by training algorithms on infinite data to make predictions, recognize patterns, and make decisions based on new input data.

AI as machine/technological/electronic/cybernetic/computing/digital/non-human intelligence is about intelligence in general,

its nature,

elements,

structures,

functions,

mechanisms,

and all possible implementations, be it natural intelligence, machine intelligence or alien intelligence.

So, real AI implies philosophy, general metaphysics or ontology, logics, semantics, mathematics, and statistics, cognitive sciences, linguistics, and psychology, data science and computer science.

In no ways, CS is the background knowledge, but one need to have ideas about algorithms, data models, information structures, computer architectures and programming languages.

To build real intelligent machines, we have to avoid a personification bias, attributing human characters and behavior, traits and emotions, thoughts or intentions to machines (non-human entities, like animals, objects, or abstract concepts).

True AI is the science and technology of machine intellect/intelligence, and in no ways the ability of digital computers or computer-controlled robots to mimic human bodies, brains, intelligence and behavior, as “developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience”.

We show that real intelligence machines and true learning systems come not from training data, statistical algorithms and models, but computational world models (CWM) relying on universal mathematical ontology and computational universal causation.

#GenerativeAI #DataEngineering #MachineLearning

Pinaki Laskar
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Location

Mumbai, Maharashtra, India