S51: The era of AI, Big Data and Robotics
Last updated
Last updated
ROUNDTABLE CHAT (EP 2)
In today's series, I have one poll for you to engage with & i have two questions for you to engage with.
This week, one of the fascinating thing that happened was that Elon Musk release a teaser video of Tesla_optimus. A general purpose, bi-pedal humanoid robot capable of performing task that are unsafe, repetitive or boring.
imagine you are a robot, what is that unsafe, repetitive or boring things that you think you will do. this kinda of update re-emphasis the importance and growth of AI and Big-Data. and the future of work in total. AI & Big Data industry tracked on coinmarketcap today have a total capitalisation of $18.5Bn and it trades almost $2Bn daily
Q1: if you have can have extra power, what will it be. a. live longer like a vampire b. ability to see and know anything c. read people's mind d.
engage the polls, engage the comment section, show reactions so we can all have a wonderful experience today.
Today's series is sponsored by themoneyflextribe?. the financial literacy woman, she's top-notch personal finance person next door. what do you do when you see a financial person. bill them seriously. this is a financial advice.
The commercial landscape of Robotics, AI & Big Data
The abilities of Neural links
The future of work
taking positions ahead
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Ledger wallet was hacked
The "pig-butchering" scheme is coming with bull Run. as recorded this week, $80M was schemed from investors.
Elon musk is a catch, this is why the rich will keep getting richer. i mean this guy is the future of things.
he has a leveraged position in a social media platform know as X,
he builds commercial rocket that can take you to space, dropping taking a person to the space and back from about a million dollar to $125M, he's also building reusable component of rockets that can take people to space. in one of his interviews, he said, the cost of a rocket about $30 to $40M. with reusable components, that cost can drop to about $10 to $15M.
He has an electric car functioning properly with latest release
He has a neural link that can help augment your physical and mental self and even claim it can cure diseases like HIV and AIDS, Spinal cord injures. and probably answer the cancer problems.
He has energy plants that can create source of power supply for many things
He has wide range network that is borderless and mobile.
Finally, He has introduce the optimus robot. that can do many things. These are ground breaking ideas.
so let's look at this topic from 3 perspective
Real world application of it.
Current trends and future predictions.
Ethical and societal implication
Focus: AI is primarily concerned with creating machines or software that can perform tasks which typically require human intelligence. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.
Techniques: It involves various techniques like machine learning, neural networks, deep learning, natural language processing, and more.
Applications: AI is used in a wide range of applications, from virtual assistants like Siri and Alexa, to more complex systems like fraud detection algorithms, autonomous vehicles, and personalized healthcare recommendations.
Focus: Big Data refers to the large volume, variety, and velocity of data that is generated in the modern digital world. It's not just about the size of the data but also about the capacity to store, process, and analyze it to gain insights.
Techniques: It involves techniques and technologies related to data mining, predictive analytics, data storage and management (like Hadoop and cloud-based solutions), and data visualization.
Applications: Big Data applications are found in fields like business analytics, health informatics, social network analysis, urban planning, and scientific research.
Focus: Robotics is about designing, constructing, operating, and using robots. It combines mechanical engineering, electrical engineering, computer science, and other disciplines.
Techniques: This field involves sensor technology, control systems, automation, and often incorporates AI for decision-making processes.
Applications: Robotics applications range from manufacturing robots, medical devices, autonomous vehicles, drones, to humanoid robots like those used for research or entertainment.
AI in Robotics: AI is often used in robotics to provide intelligent behavior, such as in autonomous vehicles or drones that must navigate and make decisions.
Big Data and AI: AI, particularly machine learning, is used to process and derive insights from Big Data. The vast amounts of data available today help in training more accurate and efficient AI models.
Robotics Generating Big Data: Robots, especially those equipped with sensors, generate a significant amount of data which can be analyzed using Big Data techniques for improvements in efficiency, maintenance, and human-robot interaction.
In summary, while AI is about simulating human intelligence in machines, Big Data deals with the challenges and opportunities of large-scale data processing, and Robotics is concerned with the design and use of robots. Their integration is leading to advancements across numerous sectors, including healthcare, transportation, manufacturing, and entertainment.
Healthcare: AI is used for diagnostic procedures, personalized medicine, and drug discovery. For example, AI algorithms can analyze medical images for signs of diseases such as cancer more quickly and accurately than human radiologists.
Finance: AI is widely used in fraud detection, risk management, and algorithmic trading. AI systems can analyze patterns in large datasets to identify fraudulent transactions or predict stock market trends.
Customer Service: Virtual assistants and chatbots powered by AI provide customer support, answer queries, and offer personalized recommendations, enhancing user experience and efficiency.
Transportation: In autonomous vehicles, AI algorithms process data from vehicle sensors to navigate safely and efficiently. AI is also used in traffic management and logistics optimization.
Education: AI can personalize learning by adapting materials to the learning style and pace of each student. It's also used in grading and providing feedback on assignments.
Business Intelligence: Companies use Big Data for market analysis, consumer behavior prediction, and to drive decision-making processes. It helps in understanding trends, preferences, and improving business strategies.
Health Informatics: Big Data analytics in healthcare allows for the analysis of vast amounts of patient data, leading to improved treatment plans, disease tracking, and public health management.
Smart Cities: In urban planning, Big Data is used for traffic control, resource management, energy distribution, and optimizing public services to improve the quality of life in cities.
Retail: Retailers use Big Data to analyze customer behavior, manage inventory, optimize pricing strategies, and create targeted marketing campaigns.
Climate and Environmental Research: Analysis of large environmental data sets helps in climate modeling, understanding ecological patterns, and developing strategies for sustainability.
Manufacturing and Automation: Robotics are extensively used in manufacturing for tasks like assembly, packaging, and quality control, enhancing efficiency and safety.
Healthcare: In medical fields, robots assist in surgeries, rehabilitation, and caring for the elderly, providing precision and support in critical tasks.
Agriculture: Agricultural robots perform tasks such as planting, weeding, and harvesting, helping to increase efficiency and reduce the reliance on manual labor.
Disaster Response: Robots are deployed in hazardous environments like disaster sites for search and rescue operations where it may be too dangerous for humans.
Exploration: Robotics plays a crucial role in space and underwater exploration, where they can endure environments inhospitable to humans.
The convergence of these technologies is also leading to innovative solutions, like AI-driven robotics for personalized customer service and Big Data analytics enhancing AI algorithms for better performance. These applications demonstrate the transformative power of AI, Big Data, and Robotics across various aspects of our lives.
imagine the implication of deployment of robots to mine gold in somewhere like sierra leone, , imagine the implication
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