ENABLING ARTIFICIAL INTELLIGENCE WITH ENGINEERED SUBSTRATES
December 2024
"Artificial intelligence is a machine's ability to perform the cognitive functions we usually associate with human minds"
Source: McKinsey
1 AI FUNDAMENTALS |
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ARTIFICIAL INTELLIGENCE IS TRANSFORMING OUR DAILY LIVES
Content |
Virtual |
Climate |
Smart Mobility |
Creation |
Assistants |
Research |
|
Offering new tools for |
Augmenting productivity |
Helping to combat |
Driving Automotive |
content creators |
in everyday tasks |
climate change |
Autonomy & Efficiency |
Healthcare & |
Wearables & |
Security & |
Industry |
Lifesciences |
Hearables |
Privacy |
4.0 |
Discovering new drugs & |
Delivering personal aid |
Enhancing threat |
Accelerating automation |
preventive treatments |
to overcome disabilities |
detection & prevention |
& efficiency roadmaps |
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CHALLENGES FROM THE APPLICATIONS TO THE HARDWARE LAYERS
SOITEC TECHNOLOGY TO LEVERAGE CLOUD AI & EDGE AI NEW CHALLENGES
Architecture& |
Smart |
Image |
ADAS/AD |
SmartCity |
Voice |
Face |
Real-time sound |
Industry4.0 |
Infrastructure |
assistants |
generation |
recognition |
recognition |
processing |
Large Language Models |
Domain-Specific Models |
General purpose LLM and other models (such as |
AI models trained on specific data to perform tasks |
ChatGPT, DALL-E…) replicating human-like thinking |
with greater precision (enterprise, professional |
and decision-making processes |
content creation, simulated data, etc.) |
Hyperscale data centers and |
Edge AI chips running optimized AI |
|
enterprise servers powered by AI |
||
models at low power for lower |
||
accelerators running large models |
||
complexity tasks |
||
for highly complex tasks |
||
Cloud AI |
On-device |
|
infrastructure |
EdgeAI |
Source: Qualcomm, Red Hat
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ARTIFICIAL INTELLIGENCE
EXPONENTIAL GROWTH IN COMPUTING POWER
AI ACCELERATION
$10-15T |
10x |
+80% |
POTENTIAL VALUE AT STAKE |
DEVICESRUNNING |
CHAT GPT USERS SINCEJAN'23 |
ARTIFICIAL INTELLIGENCE |
AI IN2030 |
3.7B WEBSITE |
~$10-15 TRILLION |
21B IN 2030 |
VISITORS IN OCT'24 |
vs 1.8B TODAY |
Healthcare diagnostic |
Autonomous driving |
Industry 4.0 |
Digital creation |
Source: McKinsey, Transforma Insights, OpenAI; Center for a New American Society, NamePepper
Acceleration of Computing Power
GPT-4 estimated computing power
power |
Hardware + Algorithmic |
||
1E+33 |
improvements |
||
Computingtraining (FLOPs) |
|||
1E+32 |
|||
1,000,000 x GPT-4 |
|||
1E+31 |
|||
1E+30 |
Hardware |
||
improvements only |
|||
1E+29 |
|||
ModelAI |
1E+28 |
1,000 x GPT-4 |
|
1E+27 |
|||
1E+26 |
|||
2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 2042
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Soitec SA published this content on December 04, 2024, and is solely responsible for the information contained herein. Distributed by Public, unedited and unaltered, on December 04, 2024 at 16:50:21.836.