This advertorial is sponsored by Intel® Introduction Most commercial deep learning applications today use 32-bits of floating point precision (Æ’p32) for training and inference workloads. Various researchers have demonstrated that both deep learning training and inference can be performed with lower numerical precision, using 16-bit multipliers for training and 8-bit … [Read more...] about Lower Numerical Precision Deep Learning Inference and Training
Artificial Intelligence
Learn about the latest developments in artificial intelligence and how it is transforming industries around the world. Our website offers insights and resources for understanding AI and its applications.
Three Reasons Why Now Is The Time For Artificial Intelligence
Within a two- to three-year span, Artificial Intelligence (AI) has gone from relative obscurity to an extreme level of industry attention and media coverage. As a result, organizations that barely knew how to spell Artificial Intelligence a few years ago are now charging full steam ahead to pursue AI initiatives. A common question that is raised is, Why is now the time for AI? … [Read more...] about Three Reasons Why Now Is The Time For Artificial Intelligence
Here is how Robo-advisors are Disrupting Wealth Management
With the rapid growth of AI, machine learning, and natural language processing, a new breed of robo-advisors is surfacing. The latest advancements are proving to be disruptive from basic portfolio management to private banking. Better still is that paired with the modern robo-advisor, investment services that were only available to the ultra-wealthy are now available to the … [Read more...] about Here is how Robo-advisors are Disrupting Wealth Management
How Machine Learning is Revolutionizing Cybersecurity
Computers are not only becoming more powerful, but they're also becoming smarter, which is to say they're becoming more capable of performing tasks that only humans have been able to do. The type of computing that emulates human-like intelligence is called artificial intelligence, or AI, and one of the most powerful developments in AI is machine learning. The power of machine … [Read more...] about How Machine Learning is Revolutionizing Cybersecurity
Genesis of AI: The First Hype Cycle
In memory of Alan Turing, Marvin Minsky and John McCarthy Prologue Every decade seems to have its technological buzzwords: we had personal computers in 1980s; Internet and worldwide web in 1990s; smart phones and social media in 2000s; and Artificial Intelligence (AI) and Machine Learning in this decade. However, the field of AI is 67 years old and this is the first of a series … [Read more...] about Genesis of AI: The First Hype Cycle
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What is artificial intelligence (AI)?
AI refers to the development of computer systems that are able to perform tasks that normally require human intelligence, such as recognizing patterns, learning from experience, and problem-solving.
AI systems can be trained to perform these tasks through the use of algorithms and machine learning techniques, which allow them to analyze and interpret data and make decisions based on that analysis. AI has the potential to significantly improve the efficiency and accuracy of many tasks, and is being applied in a wide range of industries and applications.
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How is artificial intelligence used?
AI is used in a variety of industries, including healthcare, finance, retail, and transportation, to improve efficiency and productivity.
For example, in healthcare, AI can be used to analyze medical images or electronic health records to identify patterns and make diagnoses, while in finance, it can be used to identify fraudulent activity or optimize investment strategies. In retail, AI can be used to personalize customer experiences or predict demand for products.
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What are some examples of artificial intelligence?
Examples of AI include self-driving cars, language translation software, and virtual assistants like Apple’s Siri or Amazon’s Alexa.
Other examples include chatbots that can handle customer service inquiries, predictive analytics tools that can forecast future outcomes, and recommendation engines that can suggest products or content based on user preferences.
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What are the potential risks and benefits of artificial intelligence?
AI has the potential to revolutionize industries and improve our daily lives, but it also raises ethical concerns and the risk of job displacement. One concern is the potential for AI systems to perpetuate or amplify biases present in the data used to train them, leading to unfair or discriminatory outcomes.
There is also the risk that AI could be used to automate tasks or make decisions that have negative consequences for humans.
On the other hand, the benefits of AI include improved efficiency and accuracy, the ability to process and analyze large amounts of data quickly, and the potential to tackle complex problems that are difficult for humans to solve.
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How can I learn more about artificial intelligence?
Datafloq offers a wide range of AI articles. There are many resources available for learning about AI, including online courses, books, and industry events.
Some popular online courses include those offered by Coursera, edX, and Udacity. There are also many books on AI that provide a broad overview of the field or delve into specific topics, such as machine learning or natural language processing.
Attending industry events, such as conferences or meetups, can also be a great way to learn about AI and network with others in the field. It is important to stay up-to-date on the latest developments in the field, as AI is a rapidly evolving field with many new advances and applications emerging all the time.
