Now AI Can Generate Images From Captions - Analytics India Magazine

While massive language models like GPT-3 have impressed the public with its extraordinary capabilities in composing articles, short shorties, songs and poems, many have severely scrutinised the technology as a mere parlour trick. However, researchers at Allen Institute for Artificial Intelligence (AI2) believe that the underlying technology that has been used to develop GPT-3 can have immense potential to advance AI as a whole.

Read more: https://analyticsindiamag.com/now-ai-can-generate-images-from-captions/

#nlp #openai #gpt #artificial-intelligence #ai #machine-learning

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Now AI Can Generate Images From Captions - Analytics India Magazine

AI & Data Science India Salary Study - 2021

The annual Analytics India Salary report presented by AIM and AnalytixLabs is the only annual study in India that delves into salary trends and provides a comprehensive view of the changing landscape of analytics salaries. The report, now in its seventh year, look at the distribution of average salaries across several categories including years of experience, metropolitan regions, industries, education levels, gender, tools, and skills.

The Data Analytics function is experiencing significant growth and development in terms of skills, capabilities, and funding. Last year, despite the pandemic, the Indian start-up industry witnessed $836.3 million investment, almost a 10% (9.7%) increase than the previous year. Also, more than one in five (21%) analytics teams across firms in India witnessed a growth in the last 12 months and the post-pandemic job market saw an upswing of data science jobs. The development of the data science domain is evidenced by the high salaries drawn by analytics professionals across the organization, with Analytics professionals doing relatively well in spite of the pandemic.

#featured #ai salaries in india #analytics salaries in india #analytics salary key trends #analytics salary trend #average data analytics salary #average salary of analytics professionals #data science salaries in india #data science salary study #latest data science salaries

Now AI Can Generate Images From Captions - Analytics India Magazine

While massive language models like GPT-3 have impressed the public with its extraordinary capabilities in composing articles, short shorties, songs and poems, many have severely scrutinised the technology as a mere parlour trick. However, researchers at Allen Institute for Artificial Intelligence (AI2) believe that the underlying technology that has been used to develop GPT-3 can have immense potential to advance AI as a whole.

Read more: https://analyticsindiamag.com/now-ai-can-generate-images-from-captions/

#nlp #openai #gpt #artificial-intelligence #ai #machine-learning

Aurelie  Block

Aurelie Block

1597046851

Can AI Now Defer Human Decisions? - Analytics India Magazine

In the healthcare industry, early and accurate diagnosis of diseases has always been a critical aspect of proper treatment. That being said, while AI and analytics proved to be immensely beneficial for the industry in making accurate diagnosis decisions and detection of different types of cancers, it has always been the doctors who have been taking the last call. A lot of this could be attributed to the level of expertise doctors bring to the table.

However, challenging the notion, researchers from MIT’s computer science and artificial intelligence lab (CSAIL) developed an AI and ML system that can not only diagnose medical conditions but can also defer the expert’s decision in certain aspects. The AI system has been developed to address the challenge analysing the ability and experience of the human involved.

According to researchers — Hussein Mozannar and David Sontag, the system uses two separate ML models — one to make decisions and another to agree or defer human choices. Here, the latter model is known as “the rejector” which has been designed with an aim to improve the human decision-making process.

#opinions #ai defer humans #ai learning #training ai to defer humans #training ai to learn

Jamal  Lemke

Jamal Lemke

1597323600

Uber’s Success Is Deeply Tied To Its Success In India: Shirish Andhare

India is currently in a vital phase of its infrastructure, energy, and mobility development, which nicely sets the stage to leapfrog current or existing practices. According to sources, an estimated 40% of its population will be living in urban areas by 2025, and they will account for over 60% of the consumption of resources.

Moreover, transportation in India is highly fragmented, disorganised across modes with poor infrastructure, congestion and low public transport density. Riders and drivers have to undertake multiple challenges daily such as lack of availability, reliability, quality, consistent pricing, safety etc.

To know more about the current space and transportation in India, Analytics India Magazine caught up with Shirish Andhare, Director, Program Management, Uber India and South Asia.


“Our goal is to change the Indian mindset and help people replace their car with their phone by offering a range of mobility options — whether cars, bikes, autos or public transport — all in the Uber app. By putting more people in fewer cars, we have the potential to build smarter and more liveable cities,” said Andhare.

Using technology, Uber India has been trying to transform the mobility landscape and change how people move around in the country by playing a transformational role in addressing pain points for riders and adding efficiency into the system.

With its multi-modal vision for mobility in India, Uber wants to make a variety of options available to help commuters get where they want to go at a price point that works for them. To that end, Uber has announced partnerships across airports and Metros in Delhi and Hyderabad to provide last-mile connectivity.

Transformation of Uber India

Andhare said that about seven years ago, Uber launched in Bangalore with just three employees. Today, Uber India has tech teams across Bangalore and Hyderabad. It continues its exponential growth journey, focusing on facilitating affordable, reliable and convenient transportation to millions of riders and livelihood opportunities for hundreds of thousands of driver-partners.

The company has doubled its engineering team in India this year. The R&D teams located in Hyderabad and Bangalore continue to grow and currently host over a dozen global charters including rider, maps, customer obsession, infrastructure, money, and eats. These teams are driving global impact for Uber based on several India-first product innovations.

Andhare said, “With over a billion trips in India and South Asia and counting, along with a large driver-partner base, we are focused on winning hearts and minds in the market. We plan to do this by doubling down on products that can solve for low network connectivity, congestion and pollution, as well as enable multiple price points with a varied set of offerings. Uber’s success is deeply tied to our success in India, we are in a strong position in India, and we are committed to serving the market.”

He added, “As we gear up to deliver the next billion rides in the region, we remain focused on providing convenient, affordable rides to millions of riders and stable and sustainable earning opportunities to driver-partners.”

Deep Tech At Uber

Andhare stated that technology provides an incredible opportunity to improve road safety in new and innovative ways before, during and after every ride. At every step, Uber is maximising the usage of technology to bring transparency and accountability through features such as two-way feedback and ratings, telematics and GPS, among others. These will have a positive impact on furthering trust and empathy between riders and driver-partners.

Uber’s Engineering Centre in Bangalore and Hyderabad are engaged in cutting-edge basic and applied technology solutions in areas that include rider growth, driver growth, digital payments, mapping, telematics, vehicle tracking/safety and fleet management, and the Uber core experience.

Some of the India-first innovations include the in-app emergency feature, arrears handling, driver inbound phone support, cash trips, Uber Rentals for longer trips and UberGO. The company is investing heavily in research and resources.

Some of the technologies used at Uber include computer vision, automation, Machine Learning(ML), Optical character recognition (OCR), and Artificial Intelligence (AI) techniques, NLP etc. These technologies are used in areas such as onboarding restaurant menus onto Uber marketplace, enabling earnings opportunities and more. It is also crucial to perform other tasks such as better routing, matching, fraud detection, document processing, maps editing, machine translations, customer support, and more.


#people #ai at uber #ai used in uber #interview with shirish andhare director program management of uber india #shirish andhare interview #technologies at uber india #uber ai #uber director interview #uber india #uber india ai

Mckenzie  Osiki

Mckenzie Osiki

1621939380

Image Generation Using TensorFlow Keras - Analytics India Magazine

Computer Vision is a wide, deep learning field with enormous applications. Image Generation is one of the most curious applications in Computer Vision. Again, Image Generation has a great collection of tasks; to mention, a few can outperform humans. Most image generation tasks are common for videos, too, since a video is a sequence of images.

A few popular Image Generation tasks are:

  1. Image-to-Image translation (e.g. grayscale image to colour image)
  2. Text-to-Image translation
  3. Super-resolution
  4. Photo-to-Cartoon/Emoji translation
  5. Image inpainting
  6. Image dataset generation
  7. Medical Image generation
  8. Realistic photo generation
  9. Semantic-to-Photo translation
  10. Image blending
  11. Deepfake video generation
  12. 2D-to-3D image translation

One deep learning generative model can perform one or more tasks with a few configuration changes. Some famous image generative models are the original versions and the numerous variants of Variational Autoencoder (VAE), and Generative Adversarial Networks (GAN).

This article discusses the concepts behind image generation and the code implementation of Variational Autoencoder with a practical example using TensorFlow Keras. TensorFlow is one of the top preferred frameworks for deep learning processes. Keras is a high-level API built on top of TensorFlow, which is meant exclusively for deep learning.

The following articles may fulfil the prerequisites by giving an understanding of deep learning and computer vision.

  1. Getting Started With Deep Learning Using TensorFlow Keras
  2. Getting Started With Computer Vision Using TensorFlow Keras

#developers corner #autoencoders #beginner #decoder #deepfake #encoder #fashion mnist #gan #image generation #image processing #image synthesis #keras #super-resolution #tensorflow #vae #variational autoencoder