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) …
Last year, it was reported that Amazon planned to use AI-equipped cameras to surveil delivery drivers on their routes. Now, the company has started installing such cameras on its vans in the UK, according to The Telegraph. The action has created concern from privacy groups who called it "excessive" and "creepy." Amazon will use a pair of cameras to record footage from inside vans and out to the road. They're designed to detect road violations or poor driver practices and give an audio alert, while collecting data Amazon can use later to evaluate drivers.
This projects contains demo video, steps and source codes / tutorial for easiness or reference purpose. This curated list is suitable for beginners and intermediate ML Practitioners. Step 4. Find area using FindContours Firstly, the algorithm have to find where the grids are! Once grids are extracted, for each grid you've to: Cyril Diagne (the creator of this project) has used BASNet for salient object detection and background removal. The accuracy and range of this model are stunning and there are many nice use cases so I packaged it as a micro-service / docker image: Basnet.
Understanding machine learning and deep learning concepts is essential, but if you're looking to build an effective AI career, you need production engineering capabilities as well. Effectively deploying machine learning models requires competencies more commonly found in technical fields such as software engineering and DevOps. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles. The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously operate in production. In striking contrast with standard machine learning modeling, production systems need to handle relentless evolving data.
In today's technologically driven world, data is the most valuable resource. Data is vital to any company's success because it allows for better and faster decision-making. Data science combines different algorithms, tools, and machine learning principles. This is where hidden patterns are found in raw data. As the data generated and analyzed continues to increase at an exponential rate, data analytics will be in high demand. Data science careers are promising.
Are you making the most of your collected data? The data you accumulate through your products and services can be a game-changer for your organization. Imagine if you can put that information to the proper use! Knowledge Graphs can allow you to make the most of your information to access, search, and utilize data for your enterprise search needs. A Knowledge Graph is a progressive way of interconnected search, an accurate query search resolution system that combines entities like people, objects, and places.
The societal impact of Artificial Intelligence (AI) dwarfs its technological impact. Already, we see AI everywhere in our daily lives; we see it in our grocery shopping app, our entertainment streaming lists, social media feeds, our dating lives, and the list goes on. The use of AI has become so naturally intertwined with our lives that we often forget to think about the future. We should ask ourselves the question of how we can unlock AI's full potential while keeping its risks at a minimum. And to investigate this question, we need to work together.
Hi Everyone, Hope you all are fine and safe. Today, In this post, We'll share a handpicked list of 100 active, regularly updated and some of the best Artificial Intelligence, Machine Learning and Deep Learning blogs & communities. Let's dive in this huge collection of some of the popular machine learning blogs and top deep learning blogs every beginner, intermediate and advanced ML enthusiast should follow or check. Sebastian is a research scientist in the language team at DeepMind. At Ruder.io, the author shares articles about natural language processing, machine learning, and deep learning. A glimpse to some of his articles include "Recent Advances in Language Model Fine-tuning", "An Overview of Multi-Task Learning in Deep Neural Networks" and more. A Must follow blog for machine learning and deep learning enthusiast. You should follow this blog because the articles are written by a senior director of Artificial Intelligence at Tesla. Andrej Karpathy is also a founding member of one of the best non profit AI company named OpenAI.
Lauren: It's exciting to see a new model being implemented at Uber, and Louis going into depth with it! A direct ethical pro of this model comes from raising the number of queries per second the model can handle. This increased support can help people in a use case where calling an Uber is being used to get out of an unsafe situation. This decreased latency can help someone escape danger faster than if the model were too slow to handle the request, especially at a peak time. In this case, less wait time means more safety for users!
Electronic Arts is actively courting buyers -- or another company willing to merge with it, according to insider news site, Puck. The video game company reportedly held talks with several potential buyers or partners, including major players Disney, Apple and Amazon. EA remains a company of its own for now, but Puck said it's more proactive in its quest to find a sale since Microsoft announced it's snapping up Activision Blizzard for $68.7 billion. In short, it shows that some companies are willing to throw around enough money to buy a gaming giant like EA. The company, arguably best known for its legion of sports games, recently parted ways with FIFA for its soccer/football series. It'll be called EA Sports FC going forward.
Clearview AI has been fined £7.55 million ($9.5 million) by the UK's privacy watchdog for illegally scraping the facial images of UK residents from social media and the web. It was also ordered to stop obtaining the data of UK residents and to delete any it has already collected. "The company not only enables identification of those people, but effectively monitors their behavior and offers it as a commercial service. That is unacceptable," said UK information commissioner John Edwards in a statement. The UK's Information Commissioner's Office (ICO) opened a joint investigation with Australia into Clearview AI back in 2020, and issued a preliminary fine of £17 million ($21.4 million) against the company late last year.