A car that is equipped with internet connectivity.

A vehicle equipped with technology for autonomous navigation, requiring no human input.

A vehicle that requires manual operation at all times.

A car that uses a combustion engine as its sole source of power.

An intellect that is much smarter than the best human brains in practically every field.

An advanced form of AGI with the ability to learn.

A futuristic concept where machines have their own language.

An intellect that is on par with the average human intelligence.

Feedforward Neural Network

Generative Adversarial Network

Recurrent Neural Network

Convolutional Neural Network

To provide entertainment

To navigate and provide location data

To manage fuel usage

To control the vehicle’s speed

Limited training data on huge data

Difficulty in understanding figurative language and Limited training data for informal expressions

Inability to tokenize text accurately

Low processing speed

LiDAR can operate accurately in complete darkness

LiDAR is cheaper to install than most cameras

LiDAR provides lower-resolution data than cameras

LiDAR is maintenance-free and never needs calibration

It eliminates the need for lawyers

It can serve as the sole evidence in court

It can provide insights into the truthfulness of witnesses

It can be used remotely

They are better for very short text sequences

They need less labeled training data

They process phonemes faster

Semantic segmentation recognizes the shapes of objects, while panoptic segmentation recognizes colors.

Panoptic segmentation deals with identifying object instances, while semantic segmentation does not differentiate between instances of the same class.

Panoptic segmentation classifies objects, while semantic segmentation locates them.

Semantic segmentation is used exclusively in self-driving cars, whereas panoptic segmentation is not.

Level 5

Level 2

Level 4

Level 3