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Google demos Android XR smart glasses with Gemini AI, visual memory, and multilingual capabilities

Until now, Google’s Android XR glasses had only appeared in carefully curated teaser videos and limited hands-on previews shared with select publications. These early glimpses hinted at the potential of integrating artificial intelligence into everyday eyewear but left lingering questions about real-world performance. That changed when Shahram Izadi, Google’s Android XR lead, took the TED stage – joined by Nishtha Bhatia – to demonstrate the prototype glasses in action.

The live demo showcased a range of features that distinguish these glasses from previous smart eyewear attempts. At first glance, the device resembles an ordinary pair of glasses. However, it’s packed with advanced technology, including a miniaturized camera, microphones, speakers, and a high-resolution color display embedded directly into the lens.

The glasses are designed to be lightweight and discreet, with support for prescription lenses. They can also connect to a smartphone to leverage its processing power and access a broader range of apps.

Former Google CEO: “China Will Win AI Race Unless We Act Now” | Founder Psychology, Talent Wars, AI

From the gritty realities of founding an AI startup to the global AI race and the future of superhuman intelligence, Eric Schmidt, former Google CEO and current CEO of Relativity Space shares hard truths, leadership insights, and a bold vision for AI’s next frontier. Will the US reclaim the lead, or is China set to dominate?

Timestamps:

0:00 Intro.

1:36 Eric Schmidt Introduces himself.

2:06 The Founder’s Journey: Joining Early Stage Company vs. Founding.

4:20 Why Sometimes Is It Better to Join NOT as a Founder?

AI Singularity Shock: Tech Titans Predict Unstoppable Intelligence Explosion Within 12 Months, Sparking Global Fear and Frenzy

IN A NUTSHELL 🤖 The concept of singularity involves AI reaching a level of intelligence that surpasses that of humans. 🚀 Recent advancements in large language models and computing power have sparked debates about the possibility of achieving singularity soon. 🧠 Experts face technical and philosophical challenges, questioning whether AI can truly replicate human intelligence.

Chinese scientists create a 9-cm untethered terrestrial-aerial microrobot capable of transforming into various desired shapes

A Chinese research team has developed the world’s smallest and lightest known untethered terrestrial-aerial microrobot capable of transforming into various desired shapes, expected to replace humans in performing a wide range of tasks in complex and hazardous environments.

The robot measuring 9 centimeters in length and 25 grams in weight can operate flexibly on land and in the air with a top speed of up to 1.6 meters per second on the ground, according to the research team from Tsinghua University.

The research team has recently developed a thin-film-shaped small-scale actuator that enables microrobots to continuously transform their shape and “lock” into specific configurations — much like a Transformer — enhancing their ability to adapt to different environments.

Germany and Europe lead digital innovation and AI with collaborative health data use at continental level

Collaborative use of population-level health data and artificial intelligence is essential for achieving precision health through a learning health system. Two groundbreaking initiatives—the European Health Data Space (EHDS), covering 449 million EU citizens, and Germany’s forthcoming Health Data Lab, providing access to data from 75 million insured individuals (90% of the country’s population)—offer unprecedented opportunities to advance digital health innovation and research with global impact.

Triple equivalence for the emergence of biological intelligence

Characterizing the intelligence of biological organisms is challenging yet crucial. This paper demonstrates the capacity of canonical neural networks to autonomously generate diverse intelligent algorithms by leveraging an equivalence between concepts from three areas of cognitive computation: neural network-based dynamical systems, statistical inference, and Turing machines.