Researchers from Georgia Tech University’s Center for Human-Centric Interfaces and Engineering have created soft scalp electronics (SSE), a wearable wireless electro-encephalography (EEG) device for reading human brain signals. By processing the EEG data using a neural network, the system allows users wearing the device to control a video game simply by imagining activity.
Based on Transformers, our new architecture advances genetic research by improving the ability to predict how DNA sequence influences gene expression.
When the Human Genome Project succeeded in mapping the DNA sequence of the human genome, the international research community were excited by the opportunity to better understand the genetic instructions that influence human health and development. DNA carries the genetic information that determines everything from eye colour to susceptibility to certain diseases and disorders. The roughly 20,000 sections of DNA in the human body known as genes contain instructions about the amino acid sequence of proteins, which perform numerous essential functions in our cells. Yet these genes make up less than 2% of the genome. The remaining base pairs — which account for 98% of the 3 billion “letters” in the genome — are called “non-coding” and contain less well-understood instructions about when and where genes should be produced or expressed in the human body.
Autonomous machine expected to pick more than 25,000 raspberries a day, outpacing human workers.
Circa 2019
Autonomous machine expected to pick more than 25,000 raspberries a day, outpacing human workers.
Julia Kollewe and Rob Davies.
Cloud-based content management provider Box has announced a new “deep scan” functionality that checks files as they are uploaded to identify sophisticated malware and avert attacks.
The new capabilities constitute part of Box Shield, which uses machine learning to prevent data leaks, detect threats, and spot any kind of abnormal behavior. In April of last year, Box added a slew of automated malware detection features to the mix, allowing Box Shield customers to spot malicious content that may already have been uploaded to a Box account. However, so far this has leaned heavily on “known” threats from external intelligence databases. Moving forward, Box said it will mesh deep learning technology with external threat intelligence capabilities to analyze files for malicious scripts, macros, and executables to protect companies from zero-day (unknown) vulnerabilities.
When a user uploads an infected file, Box will quarantine it for inspection but will still allow the user to view a preview of the file and continue working.
Artificial intelligence is often thought of as disembodied: a mind like a program, floating in a digital void. But human minds are deeply intertwined with our bodies — and an experiment with virtual creatures performing tasks in simulated environments suggests that AI may benefit from having a mind-body setup.
Stanford scientists were curious about the physical-mental interplay in our own evolution from blobs to tool-using apes. Could it be that the brain is influenced by the capabilities of the body and vice versa? It has been suggested before — over a century ago, in fact — and certainly it’s obvious that with a grasping hand one learns more quickly to manipulate objects than with a less differentiated appendage.
It’s hard to know whether the same could be said for an AI, since their development is more structured. Yet the questions such a concept brings up are compelling: Could an AI better learn and adapt to the world if it has evolved to do so from the start?
Conversational video technology enables AI-powered back-and-forth between viewers and prerecorded responses.
What is the most pressing issue in AI ethics at the moment? Here is what our group of experts had to say.
This blog summarizes a recent Zoom call with scholars, professionals and clergy on AI ethics and human dignity.
Human Factors, Ethical Artificial Intelligence, And Healthy Aging — Dr. Arathi Sethumadhavan, PhD, Head of User Research, AI, Ethics & Society, Microsoft Cloud+AI.
Dr. Arathi Sethumadhavan, Ph.D. is Head of User Research for AI, Ethics & Society, at Microsoft’s Cloud+AI organization, where she works at the intersection of user research, ethics, and product experience.
In her current role, Dr. Sethumadhavan is focused on the Microsoft AI ethical principles (privacy and consent, fairness, inclusion, accountability, and transparency) as it relates to various Microsoft AI experiences.
Dr. Sethumadhavan is a seasoned research leader, with two decades of experience studying human-technology interaction, and during the course of her career, she has led user research for several novel and complex applications (e.g., Microsoft’s custom neural voice, facial recognition), as well as at Medtronic, where she provided human factors leadership to multiple products in the Cardiac Rhythm and Heart Failure portfolio, including the world’s smallest pacemaker. She has also spent several years investigating the implications of automation on air traffic controller performance and situation awareness.
Dr. Sethumadhavan is also a Fellow at the World Economic Forum, where she is working on unlocking opportunities for positive impact with AI to address the needs of the aging population.
In a new paper, the researchers explain how the robot can impressively locate and retrieve an item, even if it is covered by other objects and completely out of view of the main camera. All the robot’s owner has to do is attach RFID tags — cheap, battery-free tags that send signals to the antenna — to their valuable possessions.
“This idea of being able to find items in a chaotic world is an open problem that we’ve been working on for a few years. Having robots that are able to search for things under a pile is a growing need in industry today. Right now, you can think of this as a Roomba on steroids, but in the near term, this could have a lot of applications in manufacturing and warehouse environments,” senior author Fadel Adib explained in MIT’s statement.
