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Category: robotics/AI – Page 417

Will Elon Musk’s Tesla Optimus Beat Unitree’s G1 in the Race for Mass Production?

Would you buy a $16,000 Unitree G1 for your home assistant? Share your thoughts in the comments.

The pressure is on for Elon Musk to accelerate the mass production of Tesla’s Optimus robot as Unitree Robotics announced that its $16,000 G1 humanoid robot is ready for mass production. Initially focused on four-legged robots, Unitree shifted to humanoid designs and quickly developed the G1, which now boasts impressive capabilities like leaping, climbing stairs, and adjusting its gait in real time. Standing at 1.32 meters tall and weighing 35 kg, the G1 features 3D LiDAR, a RealSense depth camera, and a 9,000-mAh battery for two hours of use. While it’s ready for production, Unitree hasn’t confirmed if mass production has begun.

AI model LucaProt uncovers 251,000 new RNA viruses, revealing hidden diversity worldwide

🌍🔬🦠

In a recent study published in the journal Cell, researchers developed a deep learning model, “LucaProt,” a transformer-based AI model to detect highly divergent ribonucleic acid (RNA)-dependent RNA polymerase (RdRP) sequences in meta-transcriptomes from diverse ecosystems. They identified 180 RNA virus supergroups and 161,979 putative RNA virus species, showing that RNA viruses are widespread and present even in extreme environments.

Background

RNA viruses are widespread and infect a variety of species, yet their role in global ecosystems has only recently been recognized due to large-scale virus discovery efforts. These studies, primarily using RdRP sequences, have expanded the known virosphere by identifying thousands of new virus species. However, current tools often miss highly divergent RNA viruses, prompting the need for improved identification strategies.

Inside @ibm’s Quantum System Two, The World’s First Modular Utility Scale Quantum Computer

#ibm #heron #quantumcomputer #quantumphysics #softwareengineering #developers #programming #artificialintelligence #ai #neuralnetworks #machinelearning #explorepage #financialmarkets #cryptography #business #productdevelopment #researchanddevelopment #computerscience #qubit #engineering #technology #startups #science #mathematics #innovation #invention

Integer addition algorithm could reduce energy needs of AI by 95%

A team of engineers at AI inference technology company BitEnergy AI reports a method to reduce the energy needs of AI applications by 95%. The group has published a paper describing their new technique on the arXiv preprint server.

As AI applications have gone mainstream, their use has risen dramatically, leading to a notable rise in energy needs and costs. LLMs such as ChatGPT require a lot of computing power, which in turn means a lot of electricity is needed to run them.

As just one example, ChatGPT now requires roughly 564 MWh daily, or enough to power 18,000 American homes. As the science continues to advance and such apps become more popular, critics have suggested that AI applications might be using around 100 TWh annually in just a few years, on par with Bitcoin mining operations.

No teachers, no homework: School solely uses AI to teach students

A school in Texas is revolutionizing the way students learn by going all-in on artificial intelligence. Its leaders are using the technology to educate students without the help of a traditional teacher. NBC’s Gadi Schwartz reports for TODAY.

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