Lifeboat Foundation

This post is also available in: עברית (Hebrew)

How soon will we be seeing robots walking about the street? How soon will robots join medical staff in hospitals and aid real people in life or death situations? How soon will robots replace health staff? The World Health Organization (WHO) estimates that we will see a global shortfall of 12 million health workers by 2025.

From lifting patients and delivering lab samples, to cleaning and providing companionship, care robots can help with a range of tasks across a hospital or care setting. With nurses spending up to a third of their shift on menial tasks such as collecting equipment, the expectation is that care robots will be able to take ownership of these more mundane jobs, letting health staff focus on more important tasks.

Short and sweet video.

The system, with Level 4 autonomy, is in use at Stuttgart Airport for Mercedes cars and marks the start of a rollout of hundreds of systems in Germany.

The driverless parking system allows users to drop their Mercedes S-Class or EQS electric car at a drop off point after notifying an app. The system then checks that the route to a specific parking spot is clear and drives the vehicle autonomously to the correct location, wherever that might be in the parking garage.

Applying neural scaling laws to machine learning models, which means increasing the number of computations, the size of the model, and the number of training data points, can reduce errors and improve model performance. Since we have a lot of computing power available and collecting more data is easier than ever before, we should be able to reduce the test error to a very small value, right?

Here is a catch, this methodology is far from ideal. Even though we have enough computational power, the benefits of scaling are fairly weak and unsustainable due to the huge additional computational costs. For example, dropping the error from 3.4% to 2.8% might require an order of magnitude of more data, computation, or energy. So what can be a solution?

Nerve cells can regulate their sensitivity to incoming signals autonomously. A new study led by the University of Bonn has now discovered a mechanism that does just that. The German Center for Neurodegenerative Diseases and the Max Planck Institute for Neurobiology of Behavior were involved in the work. The results have now been published in the journal Cell Reports.

Anyone who has ever sent a voice message with a cell phone knows how much the volume matters: Shouting into the microphone results in a distorted and unclear recording. But whispering is not a good idea either—then the result is too quiet and also difficult to understand. That is why sound engineers ensure the perfect sound at every concert and talk show: They regulate each microphone’s gain to match the input signal.

The neurons in the brain can also fine-tune their sensitivity, and even do so autonomously. A new study led by the University of Bonn and the University Hospital Bonn shows how they do this. For this purpose, the participants investigated nerve cell networks that also play a role in vision, hearing and touch. The stimulus first travels to the so-called thalamus, a structure deep in the center of the brain. From there, it is then conducted to the cerebral cortex, where it is further processed.

AI robots fly, sing, dance, carry cars and respond to Elon Musk. Incredible new robots join Ameca and Boston Dynamics.

To learn more about AI, please visit https://brilliant.org/digitalengine where you’ll also find loads of fun courses on maths, science and computer science.

Continue reading “AI robot terrifies officials, explains our illusion, with Elon Musk” »

The iPhone hacker and former Tesla employee founded Comma.ai, a company that makes software to rival Tesla Autopilot.

The new method, called GOPHER, helps researchers to determine the best AI program to use for analyzing the human genome.

Artificial intelligence (AI) is an innovative tool that can be trained to make predictions and solve problems quickly and with accuracy. However, the reasoning behind the output, or information sent out after the AI software receives input from datasets, is not yet clearly understood.

Understanding how AI creates its predictions.

Continue reading “A new AI testing system could help unlock secrets of the human genome” »

The microphone sensor can classify bowel diseases using machine learning.

There are many diseases that could potentially be detected through human waste. One such infection includes cholera. Cholera is a bacterial disease.

Cholera is spread through contaminated food and water. Large epidemics that spread the bacterium are related to fecal contamination of water or food. It can sometimes be spread through undercooked shellfish and other seafood-related infections, as well. is spread through contaminated food and water. Large epidemics that spread the bacterium are related to fecal contamination of water or food. It can sometimes be spread through undercooked shellfish and other seafood-related infections, as well.