Zoom will let AI avatars talk to your team for you

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1. Zoom will let AI avatars talk to your team for you

Zoom is introducing AI avatars to its Clips feature, allowing users to create a digital version of themselves to send brief messages to their team. To create an avatar, users need to record an initial video of themselves, which the AI will use to create a voice and look like them.

The feature will only work with Zoom's Clips feature, allowing users to record brief video updates for colleagues. Zoom is taking the possibility of deepfakes into account, using advanced authentication, watermarking technology, and strict usage policies. The custom AI avatars will roll out early next year as part of Zoom's custom AI Companion add-on, costing an extra $12 per month.

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2. Elon Musk unveils his ‘Cybercab’ robotaxi

Elon Musk has revealed plans for a future filled with self-driving cars without steering wheels, parking lots transformed into parks, and robots walking among the population.

The plans were revealed at a glitzy event in California, featuring models of the robotaxi and a Robovan, a driverless vehicle designed for larger groups. Musk has previously predicted that his fleet of robotaxis would be available within a few years. Tesla's shares were down over 8% in late afternoon trading.

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3. Robust chemical analysis with graphene chemosensors and machine learning

Ion-sensitive field-effect transistors are crucial for chemosensing applications, environmental monitoring, healthcare diagnostics, and industrial process control. Recent advancements in ISFET technology have improved their performance, allowing for the integration of machine learning algorithms to construct predictive models using extensive datasets. 

This integration can help mitigate challenges associated with cycle-to-cycle, sensor-to-sensor, and chip-to-chip variations, paving the way for broader commercial applications.

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4. An AI Startup Acquired By Google Just Won the 2024 Nobel Prize in Chemistry

The 2024 Nobel Prize in chemistry was awarded to Demis Hassabis, John Jumper, and David Baker for their use of machine learning to predict the 3D shape of proteins and design them from scratch. The award was particularly significant as it originated from DeepMind, an AI research startup acquired by Google in 2014.

The physics award went to two computer scientists who laid the foundations for machine learning, while the chemistry laureates were rewarded for their use of machine learning to tackle the mystery of protein folding.

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5. With AI warning, Nobel winner joins ranks of laureates who’ve cautioned about the risks of their own work

Geoffrey Hinton, a computer scientist who won the Nobel Prize in physics for his work on machine learning, warned about the potential dangers of AI. He compared AI to the Industrial Revolution but warned of its potential to surpass human intellectual ability.

Hinton, now affiliated with the University of Toronto, acknowledged that AI could improve productivity in areas like healthcare but also warned of potential negative consequences, particularly the potential for intelligent systems to take control.

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