Microsoft taps Inflection AI Founders 👨‍⚖️ Google's Vlogger creates Talking Videos 📽 Fitbit adds AI ⌚

In today’s newsletter:

• Microsoft Taps Inflection AI Founders

• Google's Vlogger creates Talking Videos

• Fitbit adds AI into its wearable devices

• More AI news from around the world

• What is Deep Learning?

• Upcoming AI Events

Microsoft Taps Inflection AI Founders for New Consumer AI Division

Microsoft recruits Mustafa Suleyman and Karén Simonyan, co-founders of Inflection AI, to lead its new consumer AI unit. The move follows Microsoft's $1.3 billion investment in Inflection AI and underscores its commitment to AI innovation. Suleyman, also a DeepMind co-founder, will oversee AI products for Copilot, Bing, and Edge, signaling Microsoft's focus on enhancing user experiences through advanced AI technology. Inflection AI will pivot to focus on AI studio business, leveraging Microsoft Azure, while Sean White assumes the CEO role. The collaboration signifies Microsoft's strategic approach to attracting top AI talent and driving industry-leading advancements.

Google unveils Vlogger, an AI model capable of animating single still images into lifelike talking avatars, raising concerns about deepfake technology. While touted for enhancing online communication and creativity, its potential for misuse alarms experts. Vlogger's ability to synthesize human-like interactions from minimal inputs poses ethical dilemmas in an era already plagued by misinformation. Despite its current limitations, the model's access to extensive datasets suggests a looming threat to digital authenticity. As technology advances, the line between reality and simulation blurs, challenging societal trust in visual media and underscoring the need for ethical AI regulation.

Fitbit's AI Revolution: Enhancing Personal Health with Google's Technology

Fitbit, in collaboration with Google Research, announces plans to integrate artificial intelligence (AI) into its wearable devices. This partnership aims to leverage Google's Personal Health Large Language model (LLM) to provide users with personalized coaching and actionable insights based on their health data. By analyzing biometric signals and sleep patterns, the AI-powered Fitbit app will offer tailored recommendations to improve users' fitness goals and overall well-being. The upcoming AI updates signify a significant advancement in wearable technology, promising to revolutionize how individuals monitor and optimize their health outcomes in real-time.

More News

• Saudi Arabia's Public Investment Fund is reportedly in discussions with Andreessen Horowitz and potentially others to establish a $40 billion fund for AI investment

• Bengaluru-based Cropin Technology partners with Amazon Web Services (AWS) India to develop AI-powered solutions tackling global hunger

• TimeGPT, a generative pre-trained model designed for time-series data forecasting, reshapes predictive analytics with advanced pattern recognition and efficient forecasting.

• Columbia Engineering scientists introduce Raidar, a revolutionary approach for distinguishing between human and AI-generated text.

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What is Deep Learning?

Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It involves training artificial neural networks, which are computing systems inspired by the biological neural networks of animal brains. Deep learning algorithms attempt to model high-level abstractions in data by using multiple layers of processing units (neurons) in neural networks. These networks are capable of learning from large amounts of labeled data and can automatically discover patterns, features, and representations in the data without human intervention. Deep learning has been particularly successful in tasks such as image recognition, natural language processing, and speech recognition.

To learn how the basics work, check out the post below

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