milestone


12 AI Milestones: 1. Shakey The Robot

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Developed at the Artificial Intelligence Center of the Stanford Research Institute (SRI) from 1966 to 1972, SHAKEY was the world's first mobile intelligent robot. According to the 2017 IEEE Milestone citation, it "could perceive its surroundings, infer implicit facts from explicit ones, create plans, recover from errors in plan execution, and communicate using ordinary English. SHAKEY's software architecture, computer vision, and methods for navigation and planning proved seminal in robotics and in the design of web servers, automobiles, factories, video games, and Mars rovers." In November 1963, Charles Rosen, head of the AI group at SRI, wrote a memo in which "he proposed development of a mobile'automaton' that would combine the pattern-recognition and memory capabilities of neural networks with higher-level AI programs," according to Nils Nilsson in his book The Quest for Artificial Intelligence. In April 1964, SRI submitted to the Advanced Research Projects Agency (ARPA) at the U.S. Department of Defense, a proposal for research in "Intelligent Automata," which it claimed would ultimately lead to "the development of machines that will perform tasks that are presently considered to require human intelligence."


Looking Back the Year 2019; Celebrating Milestones Your Data Guy

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When a New Year begins, some people write down goals and wishes for the year. Understandably, these are things they wish to accomplish before the year culminates. Oftentimes, there is an overwhelming hype to make resolutions for the year. Personally, I have not been making resolutions but I have always desired to accomplish some targets within the year. In this article, I look back at the year 2019 with excitement as I celebrate the milestones I have made in Data Science.


From search to translation, AI research is improving Microsoft products

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Until recently, a multinational company looking to help customers around the world book international travel would have had to build separate chatbots from scratch to converse in French, Hindi, Japanese or other languages. But thanks to artificial intelligence research breakthroughs that have enabled algorithms to more accurately parse nuances in the way different languages express concepts or structure sentences, it is now possible to build a single bot and use Microsoft Translator to translate questions and answers accurately enough for use in multiple countries. Over the past few years, Microsoft deep learning researchers were the first to achieve human parity milestones in developing algorithms that could perform about as well as a person on research benchmarks testing conversational speech recognition, reading comprehension, translation of news articles and other challenging language understanding tasks. Now, the benefits of those AI research breakthroughs are making their way into products from Azure to Bing. Search engineers are borrowing lessons from Microsoft AI researchers who developed a new deep neural network model that can learn from multiple natural language understanding tasks at once.


Snowflake furthers AWS integration with AI/ML certification

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Snowflake, a cloud data platform, is deepening its relationship with AWS to provide a seamless customer experience. The company recently achieved the Amazon Web Services (AWS) Machine Learning (ML) and Artificial Intelligence (AI) Competency status. The AWS Competency Program highlights AWS Partner Network (APN) members that have passed a rigorous audit of their security, architecture and customer adoption, and have exhibited proven success supporting customers in specialised solution areas. Achieving AWS Competency status in these categories differentiates Snowflake as an APN member that delivers highly specialised technical proficiency. This announcement is the latest example of Snowflake's relationship with AWS, which has yielded many important milestones for customers.


Top 8 Predictions That Will Disrupt Healthcare in 2020

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Every year, our team of futurists, analysts, and consultants at Frost & Sullivan's Transformational Healthcare Group comes together to brainstorm and predict the themes, technologies, and global forces that will define the next 12 to 18 months for the healthcare industry. We also retrospect how we did each year, and each year we are becoming more accurate in the predictions we make. For the 2019 predictions that were released in November 2018, six out of eight predictions realized as anticipated, while the two remaining predictions have not panned out exactly the way we thought. The new vision for healthcare for 2020 and beyond will not just focus on access, quality, and affordability but also on predictive, preventive, and outcome-based care models promoting social and financial inclusion. As we are on the verge of entering a new decade of change globally, 2020 will be a reality check for long-pending national healthcare policies and regulatory reforms that must reinvigorate future strategies.


Snowflake Expands AWS Partnership, Achieves AWS ML, AI Competency Status

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As a testament to this, Snowflake recently achieved the Amazon Web Services (AWS) Machine Learning (ML) and Artificial Intelligence (AI) Competency status. The AWS Competency Program highlights AWS Partner Network (APN) members that have passed a rigorous audit of their security, architecture and customer adoption, and have exhibited proven success supporting customers in specialized solution areas. Achieving AWS Competency status in these categories differentiates Snowflake as an APN member that delivers highly specialized technical proficiency. This announcement is the latest example of Snowflake's relationship with AWS, which has yielded many important milestones for customers. Customers like Yamaha Corporation, the Japanese multinational enterprise with a wide range of products focused on sound and music, benefit from Snowflake's relationship with AWS.


Are You Preparing to Fail on AI? - Markets Media

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Are You Preparing to Fail on AI? Here's A Handy Checklist for Companies Artificial Intelligence (AI) is now everywhere in our daily lives. It makes new products and business models possible through deep analysis of mountains of data, predicting things that humans cannot foresee, and relieving employees of grunt work. For example, AI underpins the intelligent automation software in the logistics industry that is improving capacity planning. Pharmaceutical companies are working to improve the efficiency of research and clinical trials through AI systemic analysis of facts and extrapolations of likely outcomes. In the financial industry, AI technology locates better borrowers for loan companies, identifies money laundering patterns, and improves compliance reporting.


Prioritizing STEM and coding won't fill one of the biggest gaps in education

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Like a lot of working parents, when I'm walking my daughters to school or listening to them recount their days at the dinner table, one question is often on my mind: What should I be doing to prepare them for the world they'll enter as adults? When my daughters and their peers enter the workforce in 10 years, the global economy will be even more competitive, automated and technology-driven than it is today. Computing will be faster and cheaper. Artificial intelligence will be even more powerful, complemented by sensors everywhere in our environments--making it impossible to distinguish between "online" and "offline." Our greatest challenges, from climate change to economic inequality to privacy, will be even more acute.


The 10 most important breakthroughs in Artificial Intelligence

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"Artificial Intelligence" is currently the hottest buzzword in tech. And with good reason - after decades of research and development, the last few years have seen a number of techniques that have previously been the preserve of science fiction slowly transform into science fact. Already AI techniques are a deep part of our lives: AI determines our search results, translates our voices into meaningful instructions for computers and can even help sort our cucumbers (more on that later). In the next few years we'll be using AI to drive our cars, answer our customer service enquiries and, well, countless other things. But how did we get here?


How I Qualified for DataScienceNigeria 2019 Artificial Intelligence Bootcamp.

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Good day, The biggest AI bootcamp in Nigeria is here! Will you be part of the best of the best who will make it to the all-expense paid residential Artificial Intelligence Bootcamp?... This was a mail I received on September 24 from Data Science Nigeria. And below is a snippet of what I got on Data Science Nigeria's website today. I started my programming journey back in September, 2018 with the most highly rated course on Udemy courtesy of my mentor, Fakorede Abiola.