Artificial intelligence is rapidly changing and transforming which is having a massive effect on industries and allowing further advancements in industries around the world.

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Artificial intelliugence has been able to have incredible advancements in recent history due to the more availavle computing power from technological advancements; here are some of them.

Larger Nural Networks

Deep learning, a subfield of AI, relies on neural networks with many layers; this is how they learn. With greater computing power, it's now possible to train much larger and deeper neural networks such as the big leap between GPT 3 and 4.

Faster Training Times

More powerful hardware such as GPUs and CPUs allow the AI to take less time in learn from data. This accelerated training allows researchers to experiment more rapidly and iterate on model architectures and techniques which allows more advancements with AI.

Big data

Lots of data is really important for AI as this is the foundatation for Artificial Intelligence, this is how they learn. More computing power enables AI systems to process and analyze large datasets making it possible to increase the AI's intelligence with more data it processes.

AI in Creativity

It is incredibly difficult to teach AI creativity but this can only be done with tonnes of data which has only happened because of hardware improvements. AI-generated art, music, and even literature has even gained attention in recent years.

The progression in AI in recent years.

GPT 2

Trained on 1.5 Billion parameters

The largest publicly released model at the time was 1.5 billion parameters.

Released in 2019

GPT 3

Trained on 175 billion parameters

It is one of the largest language models in existence at the time of its release.

Released in 2020

GPT 4

Trained on 1.6 Trillion parameters

The largest language model in existence to date.

Released 2021

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Impact on industries around the globe

Healthcare

Medical Diagnosis: AI helps diognosis to be more accurate and quick.
Drug Discovery: AI accelerates drug discovery by analyzing vast datasets
Personalized Medicine: AI enables the customization of treatment plans based on individual patient data

Finance

Algorithmic Trading: AI-driven trading algorithms can make split-second trading decisions based on market data and trends.
Risk Assessment: AI is used for credit scoring, fraud detection, and risk assessment
Customer Service: Chatbots and virtual assistants provide automated customer support and streamline routine financial transactions.

Retail

Recommendation Engines: AI-powered recommendation systems analyze customer behavior to suggest products
Inventory Management: AI helps optimize inventory levels and reducing costs
Supply Chain: AI improves supply chain efficiency by predicting demand, optimizing logistics, and enhancing forecasting accuracy.

Energy

Grid Management: AI optimizes energy distribution and consumption in smart grids, improving energy efficiency.
Renewable Energy: AI enhances the efficiency of renewable energy sources like wind and solar by predicting energy production and optimizing energy storage.

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Jake Wilkinson
Collyers Summer Work 2023