May 19, 2021
Waymo self-driving taxi confused by traffic cones flees help
Posted by Muhammad Furqan in categories: robotics/AI, transportation
The vehicle became stuck multiple times and repeatedly drove away when roadside assistance approached.
The vehicle became stuck multiple times and repeatedly drove away when roadside assistance approached.
Google detailed TPUv4 at Google I/O 2021. They’re accelerator chips that deliver high performance on AI workloads.
Machine learning algorithms have gained fame for being able to ferret out relevant information from datasets with many features, such as tables with dozens of rows and images with millions of pixels. Thanks to advances in cloud computing, you can often run very large machine learning models without noticing how much computational power works behind the scenes.
But every new feature that you add to your problem adds to its complexity, making it harder to solve it with machine learning algorithms. Data scientists use dimensionality reduction, a set of techniques that remove excessive and irrelevant features from their machine learning models.
Continue reading “Understanding dimensionality reduction in machine learning models” »
Interesting as I recall Aubrey lamenting that he had met Bezos several times over the years but never got a dime from him. Also I wonder where he would put the cash. Just donor all h by is SENS? Pick a company like Age-x?
Jeff Bezos is said to get into the Longevity Industry next month according to Aubrey De Grey. Having a billionaire invest into finding a cure for aging is both amazing and worrisome.
The field of longevity research was long underfunded but recently, with more and more results coming in, investors like Jeff Bezos are getting more and more interested in the field.
Continue reading “Jeff Bezos wants to LIVE FOREVER — Aubrey De Grey: Secret Longevity Investor” »
Terrain-relative navigation helped Perseverance land – and Ingenuity fly – autonomously on Mars. Now it’s time to test a similar system while exploring another frontier.
Latest GitLab survey finds one-year surge in automated aspects of DevOps. But is there a risk of over-automating?
Got milk?
Hoping to capitalise on a surge in demand for home deliveries, a Singapore technology company has deployed a pair of robots to bring residents their groceries in one part of the city state.
Developed by OTSAW Digital and both named “Camello”, the robots’ services have been offered to 700 households in a one-year trial.
Continue reading “Run out of milk? Robots on call for Singapore home deliveries” »
ETH Computer scientists have developed a new AI solution that enables touchscreens to sense with eight times higher resolution than current devices. Thanks to AI, their solution can infer much more precisely where fingers touch the screen.
Quickly typing a message on a smartphone sometimes results in hitting the wrong letters on the small keyboard or on other input buttons in an app. The touch sensors that detect finger input on the touch screen have not changed much since they were first released in mobile phones in the mid-2000s.
Launching this summer, NASA’s Laser Communications Relay Demonstration (LCRD) will showcase the dynamic powers of laser communications technologies. With NASA’s ever-increasing human and robotic presence in space, missions can benefit from a new way of “talking” with Earth.
Since the beginning of spaceflight in the 1950s, NASA missions have leveraged radio frequency communications to send data to and from space. Laser communications, also known as optical communications, will further empower missions with unprecedented data capabilities.
Scientists from the Institute of Scientific and Industrial Research at Osaka University have used machine-learning methods to enhance the signal-to-noise ratio in data collected when tiny spheres are passed through microscopic nanopores cut into silicon substrates. This work may lead to much more sensitive data collection when sequencing DNA or detecting small concentrations of pathogens.
Miniaturization has opened the possibility for a wide range of diagnostic tools, such as point-of-care detection of diseases, to be performed quickly and with very small samples. For example, unknown particles can be analyzed by passing them through nanopores and recording tiny changes in the electrical current. However, the intensity of these signals can be very low, and is often buried under random noise. New techniques for extracting the useful information are clearly needed.
Now, scientists from Osaka University have used deep learning to “denoise” nanopore data. Most machine learning methods need to be trained with many “clean” examples before they can interpret noisy datasets. However, using a technique called Noise2Noise, which was originally developed for enhancing images, the team was able to improve resolution of noisy runs even though no clean data was available. Deep neural networks, which act like layered neurons in the brain, were utilized to reduce the interference in the data.