Which AI-powered algorithms are used for DNA sequencing, mutation detection, and gene editing in Genomics & Proteomics?

AI-powered algorithms for DNA sequencing, mutation detection, and gene editing.

AI-powered algorithms for protein folding and drug design.

AI-powered algorithms for image recognition in radiology.

AI-powered algorithms for speech recognition and natural language processing.

Which AI application is used for personalized medicine in Medical Biotechnology?

Personalized medicine through AI models that analyze patient genetic profiles.

AI-powered robotic surgery for organ transplantation.

Automated image analysis for plant disease detection.

AI-based weather prediction for agricultural planning.

What are two uses of AI in Agricultural Biotechnology?

AI models for crop improvement through genetic engineering; Pest/disease prediction using biosensors and AI forecasting.

AI for livestock breeding only; Manual soil testing.

AI for weather prediction only; Traditional irrigation methods.

AI for food packaging; Manual crop harvesting.

Which processes are optimized by AI in Industrial Biotechnology?

Bioprocess optimization (fermentation, enzyme production).

Text translation and language processing.

Weather forecasting and climate modeling.

Financial trading and stock market analysis.

What do the gears and circuits inside the head symbolize in the conceptual illustration of Alan Turing?

The mechanistic and logical operations of a machine, a nod to the Turing Machine.

The artistic creativity and emotional intelligence of Turing.

The biological processes of the human brain.

The historical context of World War II.

What do the binary codes (0s and 1s) typically illustrate in the context of AI and computing systems?

Digital logic, the building block of AI and computing systems.

The graphical user interface of computers.

The physical hardware components of a computer.

The networking protocols used in AI.

Which of the following is NOT a function of the food quality control machine as described in the explanation?

Testing food safety and nutritional quality

Detecting contaminants and chemical residues

What does the DNA double helix + ML workflow figure represent in the context of the 2000s Machine Learning Boom?

Use of ML for protein folding, genetic analysis, and food supply optimization

Use of ML for weather prediction

Use of ML for chemical engineering

ML models trained on DNA barcoding data can be used in food science to:

Identify species in food products for authentication and safety.

Increase the shelf life of food products.

Enhance the taste of food products using genetic modification.

Reduce the cost of food production by automating packaging.

What does 'Food Quality Inspection' mean in the context of machine learning in food technology?

ML models classify food items as ripe, unripe, fresh, or spoiled.

ML models are used to automate food packaging processes.

ML models predict the nutritional value of food items.

ML models generate recipes based on available ingredients.

What is 'Shelf-life Prediction' in machine learning for food technology?

ML models predict how long packaged food will remain fresh.

ML models estimate the nutritional value of food.

ML models identify food packaging materials.

ML models detect food allergens.

What does 'Recipe Recommendation' refer to in machine learning for food technology?

ML suggests personalized food recipes based on user preferences and dietary restrictions.

ML detects contamination by analyzing sensor data and lab results.

ML automates the cooking process using robotic chefs.

ML predicts food shelf life using chemical analysis.

What is 'Supply Chain Optimization' in the context of machine learning in food technology?

ML predicts food demand, reducing waste and improving logistics.

ML is used only for food packaging design.

ML replaces all human workers in food factories.

ML is used exclusively for marketing food products.

What does 'Food Safety' mean in machine learning for food technology?

ML detects contamination by analyzing sensor data and lab results.

ML is used to automate food packaging processes.

ML helps in designing new food flavors.

ML is only used for marketing food products.

The illustration shows the application of machine learning in food technology as:

Predicting food quality and safety using data analysis.

Manual inspection of food products.

Traditional cooking methods without technology.

Use of artificial flavors in food production.

What is the process shown on the left side in the description of machine learning in food technology?

Scanning or capturing images of food items or crops using cameras or sensors

Output results such as quality grading

Processing scanned data using a neural network

Which of the following is NOT an application example in food technology mentioned in the text?

Quality control in food processing

Fill in the blank: Automated sorting systems in factories are an example of ________ in food technology.

application of machine learning

AI_Session_1

Authored by swathi prasad

Engineering

Professional Development

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53 questions

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MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Artificial Intelligence (AI)?

A branch of biology that studies living organisms

A branch of computer science that develops systems capable of performing tasks that normally require human intelligence

A type of mechanical engineering

A form of traditional agriculture

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Fill in the blank: Artificial Intelligence (AI) uses ________, deep learning, natural language processing, robotics, and expert systems to simulate intelligent behavior.

machine learning

data mining

cloud computing

blockchain

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a scope of AI?

A) Automation

B) Data-Driven Insights

C) Personalization

D) Manual labor

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Fill in the blank: AI in Food Processing & Quality Control includes ________ computer vision for detecting defects in grains, fruits, and vegetables.

AI-enabled

manual

traditional

basic

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which application of AI in Food Technology involves real-time monitoring of storage and transportation conditions?

Food Processing & Quality Control

Food Safety & Hygiene

Product Development

Supply Chain & Waste Management

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Fill in the blank: AI for flavor prediction, ingredient substitution, and recipe optimization is an example of AI in ________.

Product Development

Marketing

Supply Chain Management

Customer Service

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an application of AI in Supply Chain & Waste Management?

AI-based demand forecasting to reduce food waste

AI for flavor prediction

AI systems for contamination detection

AI-enabled computer vision for detecting defects

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AI_Session_1

What is Artificial Intelligence (AI)?

Fill in the blank: Artificial Intelligence (AI) uses ________, deep learning, natural language processing, robotics, and expert systems to simulate intelligent behavior.

Which of the following is NOT a scope of AI?

Fill in the blank: AI in Food Processing & Quality Control includes ________ computer vision for detecting defects in grains, fruits, and vegetables.

Which application of AI in Food Technology involves real-time monitoring of storage and transportation conditions?

Fill in the blank: AI for flavor prediction, ingredient substitution, and recipe optimization is an example of AI in ________.

Which of the following is an application of AI in Supply Chain & Waste Management?

Fill in the blank: AI accelerates identification of drug candidates by predicting ________ interactions.

Which of the following is a benefit of using AI in clinical trials?

Which AI-powered algorithms are used for DNA sequencing, mutation detection, and gene editing in Genomics & Proteomics?

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