Editor’s Note:

This week, we're diving deep into the cutting-edge world of AI. From Instagram's new digital business cards to Adobe's AI-powered sound effects, the future is looking more innovative than ever. Want to know how synthetic data is revolutionising AI training? Or perhaps you're curious about Anthropic's new tool for handling massive query loads? We've got you covered. And for those looking to level up their deep learning skills, check out our curated list of essential resources. So, buckle up and get ready to explore the exciting world of artificial intelligence!

Instagram's latest feature is a digital business card for your profile

Instagram is rolling out a new “profile card” feature that is essentially a digital business card for your profile. The official launch comes a few months after the Meta-owned social network was spotted testing the feature with select creators.

Adobe’s Project Super Sonic uses AI to generate sound effects for your videos

Adobe is showing off Project Super Sonic, an experimental prototype demo that shows how you could one day use text-to-audio, object recognition, and even your own voice to quickly generate background audio and audio effects for your video projects.

The promise and perils of synthetic data - TechCrunch

Synthetic data is a promising alternative to real-world data for AI training. It can be generated quickly and cheaply, but it also introduces new challenges like biases and hallucinations. The future of AI training may involve a hybrid approach combining both real and synthetic data.

Introducing the Message Batches API - Anthropic

Anthropic has launched its Message Batches API, which offers developers a cost-effective solution for processing large volumes of Claude queries asynchronously. Through the Message Batches API, developers can now send batches of up to 10,000 queries.

Resource Spotlight:

• Deep Learning. Methods And Applications Free book from Microsoft Research

• Neural Networks And Deep Learning - Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning

• Machine Learning: A Probabilistic Perspective - This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach

• Deep Learning - Yoshua Bengio, Ian Goodfellow and Aaron Courville put together this currently free (and draft version) book on deep learning. The book is kept up-to-date and covers a wide range of topics in depth (up to and including sequence-to-sequence learning).

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