If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
From performing simple commands on smartphones using Alexa or Siri to high-end technical operations in big tech firms, one thing is sure: Ease is a necessity in the modern human experience. The 21st century has marked a rapid advancement of technology in every aspect of human life and interactions. Despite being around for many decades, the replication of human intelligence in machines -- artificial intelligence -- has now become popularized.
AI can save time and money in the search for treatments for emerging diseases, including COVID-19. Artificial intelligence (AI) has been a powerful tool in the search for COVID-19 treatments. In January, BenevolentAI identified a drug for rheumatoid arthritis as a potential therapy for the novel coronavirus. It's now being tested in large-scale trials around the world. AI models and algorithms can save time and money in the search for potential drug leads for emerging diseases.
The COVID-19 pandemic has had a profound impact across industries and healthcare in particular--every aspect of it is undergoing change--from diagnosis to treatment and through the entire continuum of care. This has also created an urgency in the healthcare industry, to look for innovative solutions and a boost to the faster, efficient application of technologies like Artificial Intelligence (AI) and Deep Learning. Pathology is one area which stands to greatly benefit from these applications.
A new galaxy, which is likely to be very young by cosmic standards, has been discovered thanks to the power of big data and machine learning. The galaxy, captured by an international team studying data from the Subaru Telescope in Hawaii, has broken the record for the lowest oxygen abundance in any galaxy observed from Earth. Extremely low oxygen abundance The galaxy, called HSC J1631 4426, has an extremely low oxygen abundance of 1.6% solar abundance, meaning it breaks the previous record of the lowest known oxygen abundance in a […]
The resurgence of artificial intelligence (AI) is largely due to advances in pattern-recognition due to deep learning, a form of machine learning that does not require explicit hard-coding. The architecture of deep neural networks is somewhat inspired by the biological brain and neuroscience . Like the biological brain, the inner workings of exactly why deep networks work are largely unexplained, and there is no single unifying theory.
On a human level, we've had to adjust to a new way of living. We've started to accept these changes and figure out how to live our lives under these new pandemic rules. While humans settle in, AI is struggling to keep up. The issue with AI training in 2020 is that, all of a sudden, we've changed our social and cultural norms.
Today's business is ruled by data and data-driven understanding. How you understand the data and interpret the data into business decisions has a direct impact on your business conversion and growth. For a more precise understanding of data, today we have artificial intelligence (AI) and Machine Learning (ML) technologies on our side. No doubt, these technologies that mimic human reasoning can positively transform businesses and their strategies. We need to understand the impact of AI and ML technologies have in shaping our understanding and capability to interpret data .
Its about how to best manage data scientists and operations people to allow for the effective development, deployment and monitoring of models. "MLOps is the natural progression of DevOps in the context of AI," said Samir Tout, who is a Professor of Cybersecurity at the Eastern Michigan University's School of Information Security & Applied Computing (SISAC) .
Source: aislan13 / Getty Images The ability to accurately identify cancer--and classify cancer types--using machine learning would provide a tremendous advance in cancer diagnostics for both physicians and patients. But that is just one role of many that machine learning can play in cancer. Another application is to predict genomic alterations from morphological characteristics learned from digital slides.
A pair of researchers at the University of California, Riverside, has used machine learning to understand what a chemical smells like -- a research breakthrough with potential applications in the food flavor and fragrance industries. "We now can use artificial intelligence to predict how any chemical is going to smell to humans," said Anandasankar Ray, a professor of molecular, cell and systems biology, and the senior author of the study that appears in iScience. "Chemicals that are toxic or harsh in, say, flavors, cosmetics, or household products […]