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With a couple of breakthroughs, initiatives and milestones, this week had a lot in store for the artificial intelligence enthusiasts. After a lot of talk about 5G, Apple finally unveiled its all new(almost) iPhone devices that are capable of handling the 5G bandwidth. The world is not yet ready for 5G but Apple continues the tradition of setting the trend. Be it earpods, 5G or the charger-less shipments, Apple wants their customers to be ready for the next decade. While Apple showed off its breakthrough hardware, two other tech giants flaunted their own breakthroughs. Know more about it in this week’s top news brought to you by Analytics India Magazine.
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https://twitter.com/KTRTRS/status/1315854087775154178?s=20
This week at all.ai concluded its 5-day long virtual summit powered by Intel. At the summit it was announced that Intel India in collaboration with the government of Telangana, International Institute of Information Technology, Hyderabad (IIIT-H) and Public Health Foundation of India (PHFI) is launching INAI, an applied artificial intelligence (AI) research center in Hyderabad. INAI is an initiative to apply AI to population scale problems in the Indian context, with a focus on identifying and solving challenges in the healthcare and smart mobility segments through strong ecosystem collaboration. More details here.
On Wednesday, Microsoft announced that have made a breakthrough in AI based image captioning. The AI can not only detect objects in an image but also understand the relation between them and then generate a very human like caption; like the one shown above. The researchers at Microsoft pre-trained a large AI model with a rich dataset of images paired with word tags, with each tag mapped to a specific object in an image. The pre-trained model is then fine-tuned for captioning on the dataset of captioned images. In this stage of training, the model learns how to compose a sentence. When presented with an image containing novel objects, wrote the company, the AI system leverages the visual vocabulary to generate an accurate caption. This new image captioning system is also two times better than the image captioning model that’s been used in Microsoft products and services since 2015. Know more here.
On Thursday, during the live stream of Search On event, Google announced that their famed language model BERT is now used in almost every query in English, helping users get higher quality results for their questions. As shown above Google’s new spelling algorithm can understand the context of misspelled words and help find the right results just under 3 milliseconds. There’s lot more to unpack from this event. Here are a few:
Highlights:
#news #azure #iiit hyderabad #intel india
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The Google computer engine exchanges a large number of scalable virtual machines to serve as clusters used for that purpose. GCE can be managed through a RESTful API, command line interface, or web console. The computing engine is serviced for a minimum of 10-minutes per use. There is no up or front fee or time commitment. GCE competes with Amazon’s Elastic Compute Cloud (EC2) and Microsoft Azure.
https://www.mrdeluofficial.com/2020/08/what-are-google-compute-engine-explained.html
#google compute engine #google compute engine tutorial #google app engine #google cloud console #google cloud storage #google compute engine documentation
1623143520
With a couple of breakthroughs, initiatives and milestones, this week had a lot in store for the artificial intelligence enthusiasts. After a lot of talk about 5G, Apple finally unveiled its all new(almost) iPhone devices that are capable of handling the 5G bandwidth. The world is not yet ready for 5G but Apple continues the tradition of setting the trend. Be it earpods, 5G or the charger-less shipments, Apple wants their customers to be ready for the next decade. While Apple showed off its breakthrough hardware, two other tech giants flaunted their own breakthroughs. Know more about it in this week’s top news brought to you by Analytics India Magazine.
Register for Free Hands-on Workshop: oneAPI AI Analytics Toolkit
https://twitter.com/KTRTRS/status/1315854087775154178?s=20
This week at all.ai concluded its 5-day long virtual summit powered by Intel. At the summit it was announced that Intel India in collaboration with the government of Telangana, International Institute of Information Technology, Hyderabad (IIIT-H) and Public Health Foundation of India (PHFI) is launching INAI, an applied artificial intelligence (AI) research center in Hyderabad. INAI is an initiative to apply AI to population scale problems in the Indian context, with a focus on identifying and solving challenges in the healthcare and smart mobility segments through strong ecosystem collaboration. More details here.
On Wednesday, Microsoft announced that have made a breakthrough in AI based image captioning. The AI can not only detect objects in an image but also understand the relation between them and then generate a very human like caption; like the one shown above. The researchers at Microsoft pre-trained a large AI model with a rich dataset of images paired with word tags, with each tag mapped to a specific object in an image. The pre-trained model is then fine-tuned for captioning on the dataset of captioned images. In this stage of training, the model learns how to compose a sentence. When presented with an image containing novel objects, wrote the company, the AI system leverages the visual vocabulary to generate an accurate caption. This new image captioning system is also two times better than the image captioning model that’s been used in Microsoft products and services since 2015. Know more here.
On Thursday, during the live stream of Search On event, Google announced that their famed language model BERT is now used in almost every query in English, helping users get higher quality results for their questions. As shown above Google’s new spelling algorithm can understand the context of misspelled words and help find the right results just under 3 milliseconds. There’s lot more to unpack from this event. Here are a few:
Highlights:
#news #azure #iiit hyderabad #intel india
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Over the past few years, the usage of data has exploded drastically. More people, organizations, businesses, etc. are availing data as part of their routine mechanism. Earlier, people focused more on useful insights and analysis, but now, they have come to the sense that managing data also needs equal importance. As a result, the role of data engineer has ballooned in the technology sector. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. Data engineers are responsible for finding trends in datasets and developing algorithms to help make raw data more useful to the enterprise. The Dice 2020 Tech Job Report labeled data engineering as the fastest-growing job of 2019, with a 50% year-over-year growth in the number of openings. According to Dataquest, data engineers performs three main roles namely generalist (found in small teams or small companies), pipeline-centric (found in midsize companies) and database-centric (works in large organizations). Analytics Insight has figured top 10 companies hiring data engineering professionals with decent salary.
#big data #latest news #top 10 companies hiring data engineers #top 10 companies hiring data engineering professionals #data engineer jobs. #top companies hiring data engineering professionals
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The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.
The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.
As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.
Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.
The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.
#opinions #alphabet #asics #floq #google #google alphabet #google quantum computing #google tensorflow #google tensorflow quantum #google tpu #google tpus #machine learning #quantum computer #quantum computing #quantum computing programming #quantum leap #sandbox #secret development #tensorflow #tpu #tpus
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Search emails from a domain through search engines for python
> pip3 install emailfinder
Upgrades are also available using:
> pip3 install emailfinder --upgrade
#email #python #search emails #search emails through search engines #search emails from a domain through search engines for python #domain