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The 4 Top Artificial Intelligence Trends For 2021

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Before the global pandemic struck in 2020 and the world was turned on its head, artificial intelligence (AI), and specifically the branch of AI known as machine learning (ML), were already causing widespread disruption in almost every industry. The 4 Top Artificial Intelligence Trends For 2021 Adobe Stock The Covid-19 pandemic has impacted many aspects of how we do business, but it hasn't diminished the impact AI is having on our lives. In fact, it's become apparent that self-teaching algorithms and smart machines will play a big part in the ongoing fight against this outbreak as well as others we may face in the future. AI undoubtedly remains a key trend when it comes to picking the technologies that will change how we live, work, and play in the near future. So, here's an overview of what we can expect during what will be a year of rebuilding our lives as well as rethinking business strategies and priorities.


AI (Artificial Intelligence) Chip Market Report: Price, New Entrants SWOT Analysis, Competitive Landscape and Gross Margin Forecasted by 2027 – The Daily Chronicle

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The report on the AI (Artificial Intelligence) Chip industry provides an in-depth assessment of the AI (Artificial Intelligence) Chip market including technological advancements, market drivers, challenges, current and emerging trends, opportunities, threats, risks, strategic developments, product advancements, and other key features. The report covers market size estimation, share, growth rate, global position, and regional analysis of the market. The report also covers forecast estimations for investments in the AI (Artificial Intelligence) Chip industry from 2020 to 2027. The report is furnished with the latest market dynamics and economic scenario in regards to the COVID-19 pandemic. The pandemic has brought about drastic changes in the economy of the world and has affected several key segments and growth opportunities.


How the telecoms industry can get the best out of AI

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The increasing complexity of telecom networks and services and the exponential growth in the amount of data generated have gone beyond the capacity of manual calculation. Telecom operators therefore are increasingly compelled to embrace AI to help them properly manage their networks, services, and customers. Intelligence monthly briefing aims to separate noise from truth about AI and discuss how the communications industry can benefit from AI while avoiding potential pitfalls. Intelligence special briefing to look into how the telecoms industry can best position itself vis-à-vis the ascendancy of artificial intelligence.The full version of the report is available for free to download here.) What is AI and what does it mean for telecoms?


NUST Machine Learning Domain – Technology Times – IAM Network

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Machine Learning is the talk of the town these days. Conventional processes which used to be digitally transformed by IT solutions are now even more fast-tracked thanks to the advancement in Artificial Intelligence. With extensive research experience and knowledge in the domain of machine learning and pattern recognition, Dr. Faisal Shafait is highly regarded as a teacher and researcher at NUST. In fact, it is his brilliant contributions to document image analysis and computational forensics that have seen him secure the IAPR award and make history. Dr. Faisal is the Director of TUKL R&D Center at NUST-SEECS which conducts research in AI/ML and linked domains.


Microsoft exclusively licenses OpenAI's groundbreaking GPT-3 text generation model

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Microsoft's ongoing partnership with San Francisco-based artificial intelligence research company OpenAI now includes a new exclusive license on the AI firm's groundbreaking GPT-3 language model, an auto-generating text program that's emerged as the most sophisticated of its kind in the industry. The two companies have been entwined for years through OpenAI's use of the Azure cloud computing platform, with Azure being how OpenAI accesses the vast computing resources it needs to train many of its models. Last year, Microsoft made a major $1 billion investment to become OpenAI's exclusive cloud provider, a deal that now involves being the exclusive licensee for GPT-3. OpenAI released GPT-3, the third iteration of its ever-growing language model, in July, and the program and its prior iterations have helped create some of the most fascinating AI language experiments to date. It's also inspired vigorous debate around the ethics of powerful AI programs that may be used for more nefarious purposes, with OpenAI initially refusing to publish research about the model for fear it would be misused.


Global Big Data Conference

#artificialintelligence

Before the global pandemic struck in 2020 and the world was turned on its head, artificial intelligence (AI), and specifically the branch of AI known as machine learning (ML), were already causing widespread disruption in almost every industry. The Covid-19 pandemic has impacted many aspects of how we do business, but it hasn't diminished the impact AI is having on our lives. In fact, it's become apparent that self-teaching algorithms and smart machines will play a big part in the ongoing fight against this outbreak as well as others we may face in the future. AI undoubtedly remains a key trend when it comes to picking the technologies that will change how we live, work, and play in the near future. So, here's an overview of what we can expect during what will be a year of rebuilding our lives as well as rethinking business strategies and priorities.


7 factors that could hold countries back - and limit AI advancement

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For responsible AI to deeply penetrate an economy and society, it must be embraced by those currently least equipped to leverage it – notably small and medium enterprises. Finland, a global leader in this space, has equipped 1% of its population (around 55,000 citizens) with the skills to apply AI and data science to increase productivity through its "AI challenge". The country has turned its small size to its advantage, focusing on rapid upskilling and immediate application of existing technologies. As Finnish economy minister Mika Lintilä put it, "we'll never have so much money that we will be the leader of artificial intelligence. But how we use it -- that's something different".


The 4 Top Artificial Intelligence Trends For 2021

#artificialintelligence

Before the global pandemic struck in 2020 and the world was turned on its head, artificial intelligence (AI), and specifically the branch of AI known as machine learning (ML), were already causing widespread disruption in almost every industry. The Covid-19 pandemic has impacted many aspects of how we do business, but it hasn't diminished the impact AI is having on our lives. In fact, it's become apparent that self-teaching algorithms and smart machines will play a big part in the ongoing fight against this outbreak as well as others we may face in the future. AI undoubtedly remains a key trend when it comes to picking the technologies that will change how we live, work, and play in the near future. So, here's an overview of what we can expect during what will be a year of rebuilding our lives as well as rethinking business strategies and priorities.


9 ways Artificial Intelligence (AI) is impacting education - Latest Digital Transformation Trends

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Artificial intelligence (AI) has become intertwined with our lives. From automated parking mechanisms to surveillance and personal assistants to autonomous flights, AI is all around us. And as this technology continues to impact these sectors of human existence, education isn't lagging either. The world of learning is becoming more convenient and customized thanks to the many applications of AI. Let's now take a look at nine practical ways this technology is impacting education across the world: Grading is among the demanding responsibilities that come with teaching.


Why Deep Learning DevCon Comes At The Right Time

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The Association of Data Scientists (ADaSci) recently announced Deep Learning DEVCON or DLDC 2020, a two-day virtual conference that aims to bring machine learning and deep learning practitioners and experts from the industry on a single platform to share and discuss recent developments in the field. Scheduled for 29th and 30th October, the conference comes at a time when deep learning, a subset of machine learning, has become one of the most advancing technologies in the world. From being used in the fields of natural language processing to making self-driving cars, it has come a long way. As a matter of fact, reports suggest that by 2024, the deep learning market is expected to grow at a CAGR of 25%. Thus, it can easily be established that the advancements in the field of deep learning have just initiated and got a long road ahead.