Ibm s Artificial Intelligence Computer System Video
Ibm s Artificial Intelligence Computer SystemComputers excel at number-crunching, but not at the kinds of things people do with ease: language processing, visual perception, manipulating objects, reasoning, planning, and learning. Artificial intelligence, or AI -- including its offshoots deep Artificila and machine learning -- uses computers to perform tasks that normally require human intelligence. The simplest example is a system designed for detecting objects in images.
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The more data it learns from, the more accurate Ibm s Artificial Intelligence Computer System system will become. Machine learning, or AI, involves training a system with huge amounts of data, then using that trained system to make inferences about new data it has never seen. Graphics chips, used primarily for rendering video games, do both tasks well. Self-driving cars are another area of focus. NVIDIA develops platforms, including hardware and software, that can power driver-assistance features as well as full self-driving.
A self-driving car must process massive amounts of data from multiple sensors and cameras Compurer real time, detect objects like pedestrians and other vehicles, and make complex decisions.
How do companies use machine learning?
Today, the tech giant is an integrated provider of hardware, software, and services to large enterprise customers. Its mainframe computer systems are still ubiquitous in certain industries, and it regularly signs multi-year IT deals worth hundreds of millions of dollars each. IBM is a complicated company, and AI is far from its only growth opportunity.
Most of what the company makes are commodity products, meaning that supply and demand dictate pricing. This leads to sometimes brutal cycles in the semiconductor sector where an oversupply of chips pushes down prices. Inthat cycle appears to be on Attificial upswing as management sees several tailwinds, including in mobile, 5G, cloud computing, and graphics, helped by a recovery in the automotive sector.
What are the best AI stocks to watch?
Self-driving cars are a good example. All the sensors and cameras produce a lot of data -- Micron estimates it at around 1 GB per second. Outside of self-driving cars, data centers running AI workloads need plenty of memory as well.]
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