🧪️ The surprising quarterly results of tech firms ⌛ ⌚

The Belamy | Top AI stories of the week.

The quarterly results of tech companies are in. While bigshots like Alphabet, Amazon, Apple and Microsoft kept the markets buoyant, Meta lost USD 230 billion in value in one day.

Stealing the show from most big tech companies, Alphabet Inc, for the last quarter of 2021, reported $257.6 billion in revenue, stacking the growth of 41% YoY.

Meanwhile, Amazon finally revealed the full extent of its advertising revenue. The e-commerce giant’s ad business (used to be included in the ‘Other’ category) reeled in USD 9.7 billion in the fourth quarter and USD 31 billion in the full year. To put things in perspective, YouTube generated USD 28.8 billion in ad revenues in 2021. 

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1

Bengaluru tops AI talent, what can other states learn?

According to a study by Harvard Business Review (HBR), Bengaluru has emerged among the top five cities in the world of AI, ranked at fifth position – and has the second-largest AI talent pool in the world.

The other cities that topped the list include San Francisco, New York, Boston, and Seattle. Besides Bengaluru, other cities in India include New Delhi, Hyderabad, and Mumbai, ranked at 18th, 19th and 27th positions, respectively.

Also: Bengaluru has the highest AI talent pool outside the US, ranked 5th in a study

+ Bengaluru Is The Most Desired Hub For GCCs

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2

OpenAI now tackles high school Math Olympiad problems

OpenAI has come out with a neural theorem prover for Lean that can solve a range of difficult high-school olympiad problems. Some of these problems are from AMC12 and AIME competitions, with two being adapted from the International Math Olympiad (IMO).

OpenAI said that the prover “uses a language model to find proofs of formal statements.” Every time it finds new proof, it is used as new training data. This improves the neural network and helps to find solutions to harder statements.

Also: OpenAI dumps its own GPT-3 for something called InstructGPT, and for the right reason

+ Interesting innovations from OpenAI in 2021

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3

Council Posts

These articles are written by members of the AIM Leaders Council. AIM Leaders Council is an invitation-only forum of senior executives in the Data Science and Analytics industry. To check if you are eligible for a membership, please fill out the form here.

+ Improving data literacy among Indian citizens to safeguard their privacy by Ankush Sabharwal

+ Generalists—The building blocks of a data science organisation by Sayandeb Banerjee

+ Relevance of applying design thinking principles in AI and Analytics by Hari Saravanabhavan

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4

Copilot vs AlphaCode

Deepmind’s latest artificial intelligence-based code development and analysis tool boasts of reducing such costs by automating the routine and time-consuming tasks of the developers.

In contrast with GitHub Copilot, which suggests code, AlphaCode is capable of analysing the algorithm and generating complex programmes at a competitive level that is not only devoid of error but also corresponding to its description.

Also: Microsoft, NVIDIA test waters for a large-scale generative language model with promising results

+ Neural Nets transforming the world of search engines

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5

Featured Video: Inside Musk’s Neuralink: Experts Raise Concerns, Employees Voice Toxic Culture

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6

Hands-on Guides for ML Developers

+ A guide to TensorLayer for efficient deep learning development

+ How conditional object-centric learning achieves better generalisation

+ Step by step guide to deploy an ML model using Heroku

+ Kubeflow vs MLflow - Which MLOps tool should you use

+ Using Kubeflow to solve natural language processing problems

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People & Startups

+ My dream is to become a 4X GM one day: Kaggle Grandmaster Tanul Singh

+ India is uniquely positioned to be the foundry for digital innovation: Shailendra Saxena, EY GDS

+ Mural painter Sneha Chakraborty on her journey as an NFT artist

+ Odisha students’ moonshot rover wins third prize in NASA’s HERC challenge

+ Interview with 2X Kaggle Grandmaster Ruchi Bhatia

+ How this robotics startup uses AI to power its tethered drones

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8

Diffusion Models Vs GANs

GAN is an algorithmic architecture that uses two neural networks that are set one against the other to generate newly synthesised instances of data that can pass for real data. Diffusion models have become increasingly popular as they provide training stability as well as quality results on image and audio generation.

Also: CLIP vs Vision Language Pre-training Vs VisionEncoderDecoder

+ Behind NVIDIA’s latest image editing tool called EditGAN

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9

Will Electronic Arts be acquired?

Microsoft’s acquisition of Activision Blizzard last month in a multi-billion deal to build the ‘next internet’ has sparked a feeding frenzy among the tech giants to scoop up gaming companies. Electronic Arts (EA) will become the largest independent video game publisher by annual revenue once the deal goes through.

Also: Microsoft’s Metaverse agenda behind Activision Blizzard acquisition

+ Striving towards a safe and inclusive Metaverse

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BOTTOM OF THE NEWS

Here's what all happened last week.

+ UC Berkeley researchers develop a Python library for predictive modelling

+ Conversational AI startup SalesKen raises USD 22 Mn in Series B

+ Enterprise modernisation firm Persistent Systems to acquire Data Glove for USD 90.5 Mn

+ The first AI agent to beat the world’s best drivers in Gran Turismo

+ Indian astronomers use AI to search for Earth-like planets