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How Does Google AI Detect Breast Cancer Better Than Radiologists?

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Artificial Intelligence in healthcare is becoming more crucial with early detection of various diseases with better accuracy. Cancer is one the widespread deadly disease can be now detected through machine learning and AI-enabled automated machines. Breast cancer is most common among women worldwide. However, more than 90% of women diagnosed with breast cancer at the earliest stage survive their disease for at least 5 years compared to around 15% for women diagnosed with the most advanced stage of the disease, which is now possible with AI. Though, AI is already diagnosing the breast cancer but owing to accuracy, the reliability among the doctors was less.


Reinforcement Learning: The Next Big Thing For AI (Artificial Intelligence)?

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Digital generated image of data. When it comes to AI, much of the attention has been on deep learning. This part of the AI world has seen great strides, such as with image recognition. But of course, there are other areas of AI that look promising, such as reinforcement learning. Keep in mind that cutting-edge companies like Google's DeepMind and OpenAI have already made breakthroughs with this approach.


How to protect your identity while protesting police brutality

Engadget

The response to protests against police brutality, ignited by the murder of Geoge Floyd, have been nothing short of draconian. While government forces on the ground gleefully beat protesters and passersby with batons and doused them with tear gas, the US Border Patrol has deployed Reaper drones to surveil citizens from the skies and the DEA has been tasked with tracking protesters. The outsized surveillance response displayed so far by the Feds has driven concerns from privacy advocates over the potential use of more insidious forms of snooping, from facial recognition algorithms to cell-site simulation (aka the Stingray and Crossbow systems.) People stuck in traffic are witnessing NYPD beat up folks on their way home. "All the technology we have been warning about for a while are starting to come to fruition in these protests," Dave Maass, a senior investigative researcher at digital rights group the Electronic Frontier Foundation, told Reuters on Monday.


Pursue a future in big data and machine learning with these classes

Mashable

TL;DR: Get involved with the world's most valuable resource -- data, of course -- with The Complete 2020 Big Data and Machine Learning Bundle for $39.90, a 96% savings as of June 5. Big data has gotten so big that the adjective doesn't even do it justice any longer. If anything, it should be described as gargantuan data, given how the entire digital universe is expected to generate 44 zettabytes of data by the end of this year. It's never been clearer that data is the world's most valuable resource, making now an opportune time to get to grips with all things data. The Complete 2020 Big Data and Machine Learning Bundle can be your springboard to exploring a career in data science and data analysis.


'Call of Duty' adds a new message to video game: 'Black Lives Matter'

USATODAY - Tech Top Stories

The next time you load up the latest "Call of Duty" video game, you will likely notice a new message from its developers: Black Lives Matter. Infinity Ward, the development studio that makes "Call of Duty," added a message on screen that appears right before the game starts condemning racism and social injustice. "Our community is hurting," reads a portion the message. "The systemic inequalities our community experiences are once again center stage. Call of Duty and Infinity Ward stand for equality and inclusion. We stand against the racism and injustice our Black community endures. Until change happens and Black Lives Matter, we will never truly be the community we strive to be." "Call of Duty," published by Activision, is the latest example of companies and brands using their platforms to speak out on social issues.


100% OFF Udemy Coupon The Data Science Course

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A Data Science dons many hats in his/her workplace. Not only are Data Scientists responsible for business analytics, but they are also involved in building data products and software platforms, along with developing visualizations and machine learning algorithms. Data Analytics career prospects depend not only on how good are you with programming --equally important is the ability to influence companies to take action. As you work for an organization, you will improve your communication skills.A Data Analyst interprets data and turns it into information that can offer ways to improve a business, thus affecting business decisions. Data Analysts gather information from various sources and interpret patterns and trends – as such a Data Analyst job description should highlight the analytical nature of the role.


How to get started with Machine Learning in about 10 minutes

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In my experience, Python is one of the easiest programming languages to learn. There is a need to iterate the process quickly, and the data scientist does not need to have a deep knowledge of the language, as they can get the hang of it real quick. The syntax is closely related to English (or human language, not a machine). And there are no silly curly brackets that confuse humans. I have a colleague who is in Quality Assurance, not a Software Engineer, and she can write Python code within a day on production level.


Deepfakes Are Going To Wreak Havoc On Society. We Are Not Prepared.

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None of these people exist. These images were generated using deepfake technology. Last month during ESPN's hit documentary series The Last Dance, State Farm debuted a TV commercial that has become one of the most widely discussed ads in recent memory. It appeared to show footage from 1998 of an ESPN analyst making shockingly accurate predictions about the year 2020. As it turned out, the clip was not genuine: it was generated using cutting-edge AI.


Artificial Intelligence News: Latest Advancements in AI Technology Business Insider

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Just look at how voice assistants like Google's Home and Amazon's Alexa have have become more and more prominent in our lives. This will only continue as they learn more skills and companies build out their connected device ecosystems. And while AI is having an enormous impact on individuals with the smart home, an even larger impact can be felt in the e-commerce space. As the market becomes increasingly cluttered, personalization is one of the key ways retailers can differentiate themselves to consumers. In fact, according to a report by Boston Consulting Group, retailers that have implemented machine learning technology for personalization see sales gains of 6-10% -- a rate two to three times faster than retailers who haven't.


With an AI push, IBM is looking at cognitive clouds

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Early this month, IBM announced that it shall be rolling out an AIOps product at its Think Digital Conference. The product is expected to help CIOs plan better as IBM's flagship AI, Watson, caters to anomalies in the process and deals with outages. The company said that AIOps will be able to self-detect, diagnose and respond to IT anomalies in real-time. For instance, AI will be able to correct any anomalies in the operations. "Our work is centered around cognitive-AI driven enterprise planning," Gopal Pingali, global vice president of the Global Technology Services Labs, IBM, said.