Artificial intelligence is overgrowing, and chipmakers are preparing for the coming wave. AI will require more powerful processors and faster communication between chips, and chipmakers are working to ensure their products are up to the task. Some experts believe that AI chip will bring a new era of computing, which will no longer be able to keep up.
What is AI?
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include:
- Understanding human speech: This involves being able to listen to and understand human speech, as well as respond in a way that is natural for humans.
- Seeing: This involves being able to interpret images and video, an essential part of many AI applications such as self-driving cars.
- Learning: Machine learning teaches computers to learn from data without being explicitly programmed.
- Gaming: AI has been used in gaming for a long time, and its application has become more sophisticated as the technology has developed.
- Robotics: Robotics is another area where AI is being increasingly used. Robots are often equipped with sensors and artificial intelligence algorithms that enable them to interact with their environment and carry out tasks.
What are the challenges of AI?
The challenges of AI include:
1. Machine learning is still in its infancy:
The ability of machines to learn from data is still minimal compared to humans. This means that for many tasks, traditional methods of programming are still more effective.
2. AI systems are biased:
AI systems often reflect the biases of the people who design and train them. This can lead to problems such as facial recognition systems that are more likely to misidentify people of color.
3. AI can be used for evil:
Because AI can automate decision-making, it can be used for malicious purposes such as creating bots that spread misinformation or perpetuating harmful stereotypes.
How are chipmakers preparing for the coming wave of AI?
Chipmakers are preparing for the coming wave of AI by:
1. Developing more powerful processors:
AI applications require a lot of processing power, and traditional CPUs simply cannot keep up. This has led to developing of new types of processor, such as GPUs and TPUs designed explicitly for AI.
2. Working on faster communication:
For AI systems to work effectively, they need to be able to communicate with each other quickly. This requires fast interconnects such as InfiniBand and Ethernet.
3. Creating new types of memory:
AI systems need to be able to store large amounts of data, and traditional types of memory such as DRAM are not well-suited for this task. Therefore, newer types of memory, such as MRAM and PCM, are being developed that could be used for AI applications.
The Bottom Line:
Chipmakers are preparing for the coming wave of AI by developing more powerful processors, working on faster communication, and creating new types of memory. However, machine learning is still in its infancy, and AI systems often reflect the biases of the people who design them. Additionally, AI can be used for evil purposes.
