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AI News Weekly - Issue #362: Google: new AI model Gemini outperforms ChatGPT in most tests - Dec 7th 2023

AI Weekly

businessinsider.com Octopus-inspired sensorized soft arm for environmental interaction Through a wearable finger glove that produces suction sensations, a human can use just one finger to remotely and interactively control the robot’s in-plane and out-of-plane reaching and grasping both in air and underwater.

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MWC 2024 in Barcelona: Anticipating the Future

Unite.AI

From groundbreaking smartphones and wearables to advancements in 5G, IoT (Internet of Things), AI, and beyond, MWC is the epicenter of mobile innovation. Keynote speeches and panel discussions delve into topics such as the impact of mobile technology on society, the economy, and how we live and work.

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All You Need to Know About Sport Analytics in 2023

Pickl AI

In my pursuit to further explore this topic, I decided to bring together the new trends in sports analytics. Biomechanics and Wearable Technology Utilizing wearable sensors and biometric data to analyze athletes’ movements and physiological responses can inform training and injury prevention.

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HIMSS 2022: Looking Forward

DataRobot Blog

Notably, the vast increase in the presence of big tech, individualized wearable technology, and the rise of retail healthcare. With hundreds of attendees boasting their Oura rings, the advancement of at-home patient monitoring, we witnessed the future of wearable and retail healthcare. Why This Matters.

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TinyML: Applications, Limitations, and It’s Use in IoT & Edge Devices

Unite.AI

The TinyDL model can be deployed on edge devices like smartwatches, and wearables for health diagnosis, and is also capable of carrying out performance analysis to reduce bandwidth, latency, and energy consumption. With that being said, TinyML applications have two fundamental requirements Ability to scale billions of cheap embedded systems.

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AI Works Beyond The Grave

Dlabs.ai

Meet Freddy Mercury At 74 Years Old As mentioned at the start, we’ll start with a slightly less upbeat topic: death. Using AI to analyze large sets of data, wearable technology can monitor mental health conditions, and based on that, AI can spot any symptoms. Let’s dive in!

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Federated Learning in IIoT

Mlearning.ai

FL is still considered an emerging topic and ongoing research is taking place to develop new techniques to make them more effective and reliable. FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. IoT devices can also have limited computational resources which can make it challenging to train a complex model.