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) …
The Society for Imaging Informatics in Medicine (SIIM) 2021 annual meeting was a four-day virtual venue for the second year in a row due to the global pandemic. AI was probably the conference's main topic, as it has been for a few years now. But this year's meeting was hardly an AI meeting, as SIIM 2021 also had content related to AI implementation, enterprise imaging, workflow, career development, and much more. As a result, we saw less hype and more reality as our industry becomes more mature year after year. As the field has grown in size and complexity, the ability of systems from different vendors to communicate their data seamlessly becomes paramount for integration.
For the uninitiated, let's start by formally introducing the concept of tokenization -- Tokenization is simply a method of splitting input textual data into individual separate meaningful tokens that can be further understood and processed by machines. Tokens can be words, characters, or even sub-words depending on what splitting algorithm is being employed. We'd discuss all the 3 major categories of tokens -- words, characters, and sub-words in this article. We'd also focus on the sub-word tokenization algorithms that most of the recent SOTA models make use of -- Byte-Pair Encoding (BPE), Word Piece, Unigram, and Sentence Piece. By the end of this discussion, you'll have developed a concrete understanding of each of the above avenues and would be well equipped to decide which tokenization method suits best your needs.
Messaging is the new way of communication. Amid the instant messaging trend initiated by platforms like WhatsApp, consumers have got hooked onto diverse platforms. One such tool that has gained traction in the recent past is Telegram. In the recent months, the platform has been gaining consumers in millions with one in every four being an Indian. The Telegram chatbot offers convenient facilities to customers e.g.
With innovations and inventions becoming the pacesetter of development right across the world, IPR and IP analytics have come to the center stage of the innovation ecosystem. The IP database is growing day by day and many more countries, especially in Asia and America are emerging as the new nerve centers of technological revolution. Thus, data analysis and analytics pertaining to IPR have become more complex, vast, and unwieldy for manual operations. Fortunately, AI/ML-powered data mining and data analytics have taken over the area in recent years. Depending upon the dedicated research invested in this area, the efficacy and accuracy of the results vary from service provider to service provider.
Data science and machine learning can be practiced with varying degrees of efficiency and productivity. Let's imagine somebody is teaching a "Productive Data Science" course or writing a book about it -- using Python as the language framework. What should the typical expectations be from such a course or book? The course/book should be intended for those who wish to leapfrog beyond the standard way of performing data science and machine learning tasks and utilize the full spectrum of the Python data science ecosystem for a much higher level of productivity. Readers should be taught how to look out for inefficiencies and bottlenecks in the standard process and how to think beyond the box.
Novanta has been under contract to acquire ATI Industrial Automation for $172 million in cash. And it turns out the deal is a win-win for most ATI employees, not just the co-founders and higher-ups. In 2012, ATI established an Employee Stock Ownership Plan (ESOP). An ESOP is a federally-qualified ERISA benefit plan that makes employees owners in the company. Founded in 1989 in North Carolina, ATI has become a global company with over 350-plus employees worldwide.
"AI will pull away some of the reliance on creative agencies," said Fan. Once an agency creative department crafts an original concept, "they're used for all these minor tweaks in copy, images and other things. And may in fact take into account other factors to ensure it's a compelling headline or image that's automatically selected." Fan pointed to AI-driven technology such as GPT-3 (generative pre-trained transformer 3, which is an autoregressive language model that uses deep learning to produce human-like text) as key to such advancements. With GPT-3, "you can get it to respond the way you want it to. It's almost creepy how you can have AI talk to you like a human does," he added.
The reality is that humans need AI to survive, and vice-versa. As a race, we have progressed so much that we now need AI to extend our intelligence and inspire our creativity. We have been able to build tremendous things. Anyone with access to a computer and an internet connection can read this article. AI is exceptional at learning patterns and automating tasks.
Get the day's biggest stories sent direct to your inbox so you never miss a thing Artificial Intelligence (AI) has become a staple of our daily lives, from Siri to Google Assistant which can control our phones, computers and even homes. The world of media has explored the advancement and potential dangers of rapidly advancing AI for decades, films such as Blade Runner and 2001: A Space Odyssey have touched on the themes of what happens when AI grows beyond human control. But how much does this affect our perception of AI and its involvement in our daily lives? Using data from Google Search Trends and Linkfluence, new research from Ebuyer has revealed that globally almost 3 million people had searched negative themes around AI online. The research discovered that the biggest search queries included "Can artificial intelligence be dangerous?"