Facebook announced a new method of detecting and attributing deepfakes that relies on reverse-engineering from a single AI-generated image to the generative model used to produce it. The technology was developed in tandem with Michigan State University (MSU). The company used reverse engineering to approach the problem of deepfakes by uncovering unique patterns behind an … continue reading
Microsoft announced a new open-source initiative, SimuLand, to help security researchers deploy lab environments that reproduce well-known techniques used in attack scenarios. Participants can use the labs to then test the effectiveness of Microsoft 365 Defender, Azure Defender, and Azure Sentinel detections. The simulation steps are mapped to detection queries and alerts to the aforementioned … continue reading
Researchers at MIT found that reading code doesn’t activate the same parts of the brain as language processing, despite the similarities that the two tasks share such as learning new symbols and terms. While it is more akin to the multiple demand network, which is often used for solving math problems or crossword puzzles, reading … continue reading
IBM announced that it is dedicating a large amount of computing power to help researchers better understand COVID-19 and ultimately search for potential cures. In addition, this year’s IBM Call for Code Global Challenge will take on both climate change and the virus. The 16 dedicated systems with more than 330 petaflops, 775,000 CPU cores, … continue reading
It’s been two years since Facebook announced its brain-computer interface (BCI) program, and the company finally has an update it is ready to share. Through a sponsored research initiative with the University of California, San Francisco (UCSF), researchers have been able to decode spoken words and phrases in real time from the brain signals that … continue reading
Facebook wants to accelerate AI robotics research with the open source release of PyRobot. According to the company, the project is designed as a framework and ecosystem that enables AI researchers and students to mobilize a robot in just a few hours, without specialized knowledge of the hardware or details such as device drivers, control … continue reading
Microsoft wants to improve global collaboration among the data research community with the release of Microsoft Research Open Data, a data repository stored in the cloud. The repository will provide a single platform for Microsoft researchers and collaborators to share datasets, technologies, and tools. It will also have an option to copy datasets directly to … continue reading
Artificial intelligence research has seen a lot progress over the years, moving from simply understanding images and speech to actually detecting emotions, driving cars, searching the web, and playing games. Because of these advancements, two AI experts decided to write an Artificial Intelligence and Games book, which will serve as the first comprehensive textbook on … continue reading
As open-source software continues to become a critical part of the software industry, GitHub wants to ensure the community understands the pervasive landscape. The organization recently released an open set of data designed to help researchers, data enthusiasts and open-source members comprehend the overall needs of the community. Some of the major findings highlight how valued documentation … continue reading
The Partnership on AI to Benefit People and Society (Partnership on AI) is strengthening its network of partners by welcoming new organizations to share their diverse, unique perspectives on AI. Earlier in the year, Partnership on AI brought in Apple and six nonprofit board members to serve on the board of directors. This week, the … continue reading
Researchers from MIT CSAIL have been working on a system called WiGait, which accurately monitors walking speed in a way that is both continuous and unobtrusive. The researchers’ paper presented the device, saying it measures the walking speed of multiple people, with 95 to 99 percent accuracy using wireless signals. Professor Dina Katabi at MIT’s CSAIL says … continue reading
Research on intelligent software systems and machine learning made great strides in 2016, and some of the credit for that goes to the Google Brain team. Going forward, the team said it will continue to conduct machine learning research, especially in areas like healthcare, AI safety, and natural language understanding. The Google Brain team doesn’t … continue reading
