Lifeboat Foundation

Over the years, supercomputers have played a pivotal role in pushing the frontiers of science. Earlier this year, Meta launched one of the fastest AI supercomputers, the AI Research SuperCluster (RSC), to build sophisticated AI models that can learn from trillions of examples; navigate hundreds of different languages; seamlessly analyse text, images, and video together; build AR tools etc.

However, the quest for something even faster than supercomputers led to the development of quantum computers. Last year, the University of Science and Technology of China (USTC) introduced the world’s fastest programmable superconducting quantum computer; Zuchongzhi 2.1 is a million times faster than a conventional computer.

At last year’s I/O conference, Google unveiled a Quantum AI campus in Santa Barbara, California, complete with a quantum data centre, quantum hardware research labs, and quantum processor chip fab facilities. The tech giant plans to build a useful, error-corrected quantum computer within a decade.

At this year’s IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), the Alexa AI automatic speech recognition organization is rep… See more.

Multimodal training, signal-to-interpretation, and BERT rescoring are just a few topics covered by Amazon’s 21 speech-related papers.

For a human, one of the first signs someone is getting old is the inability to remember little things; maybe they misplace their keys, or get lost on an oft-taken route. For a laboratory mouse, it’s forgetting that when bright lights and a high-pitched buzz flood your cage, an electric zap to the foot quickly follows.

But researchers at Stanford University discovered that if you transfuse cerebrospinal fluid from a young mouse into an old one, it will recover its former powers of recall and freeze in anticipation. They also identified a protein in that cerebrospinal fluid, or CSF, that penetrates into the hippocampus, where it drives improvements in memory.

The tantalizing breakthrough, published Wednesday in Nature, suggests that youthful factors circulating in the CSF, or drugs that target the same pathways, might be tapped to slow the cognitive declines of old age. Perhaps even more importantly, it shows for the first time the potential of CSF as a vehicle to get therapeutics for neurological diseases into the hard-to-reach fissures of the human brain.

Lensless cameras have many potential use-cases but have generally been held back by lengthy processing requirements and low-resolution images. A research from a team at the Tokyo Institute of Technology is looking to change that.

The first 1,000 people to use the link or my code ainews will get a 1 month free trial of Skillshare: https://skl.sh/ainews05221
Has human level AI been reached in 2022? What are the best Artificial Intelligences released by the biggest AI companies so far? All of this in the top 5 best AI’s in 2022.
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TIMESTAMPS:
00:00 Intro.
00:19 #5 GPT-3
03:10 #4 Gopher.
04:40 #3 Codex.
06:01 #2 DALL-E 2
07:33 #1 Flamingo.
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#ai #top5 #futurism

A new technique for measuring the shadows cast by a black hole binary could enable astronomers to glean details about these massive systems.

During its first keynote at Google I/O 2022, Google detailed its latest language model, LaMDA 2, and an app called AI Test Kitchen.

During its first keynote at Google I/O 2022, Google detailed its latest language model, LaMDA 2, and an app called AI Test Kitchen.

For instance, when training a gestational age clock model from placental methylation, a sample can only be collected after delivery of the baby and the placenta. So most samples have a gestational age greater than 30 weeks, which corresponds to moderate preterm and full-term births. For samples with a further younger gestational age, they are scarce, which makes the sample distribution seriously biased to large gestational ages and impairs the ability of the trained model to predict small ones. However, differences in gestational age as small as one week can significantly influence neonatal morbidity and mortality and long-term outcomes [18 – 23]. Hence, the model’s accuracy across the whole gestational age range becomes essential.

To solve this problem, we developed the R package eClock (ensemble-based clock). It improves the traditional machine learning strategy in handling the imbalance problem of category data [24], and combines bagging and SMOTE (Synthetic Minority Over-sampling Technique) methods to adjust the biased age distribution and predict DNAm age with an ensemble model. This is the first time applying these techniques to the clock model, bringing a new framework for clock model construction. eClock also provides other functions, such as training the traditional clock model, displaying features, and converting methylation probe/gene/DMR (DNA methylation region) values. To test the performance of the package, we used 3 different datasets, and the results show that the package can effectively improve the clock model performance on rare samples.

After launching our warehouse robot Stretch at #MODEX2022, we heard from a lot of warehouse and materials handling professionals. Check out our biggest takeaway… See more.

Launching Stretch, our autonomous warehouse robot, at MODEX 2022, we found consistent themes about the state of warehouse automation and material handling.