WASHINGTON — Northrop Grumman today has two Mission Extension Vehicles in orbit providing station-keeping services for two Intelsat geostationary satellites that were running low on fuel.
The company meanwhile is preparing to launch a new servicing vehicle equipped with a robotic arm that will install propulsion jet packs on dying satellites.
“We show that focusing on genes whose expression patterns are evolutionarily conserved across species enhances our ability to learn and predict ‘genes of importance’ to growth performance for staple crops, as well as disease outcomes in animals,” explained Gloria Coruzzi, Carroll & Milton Petrie Professor in NYU’s Department of Biology and Center for Genomics and Systems Biology and the paper’s senior author.
Machine learning can pinpoint “genes of importance” that help crops to grow with less fertilizer, according to a new study published in Nature Communications. It can also predict additional traits in plants and disease outcomes in animals, illustrating its applications beyond agriculture.
Using genomic data to predict outcomes in agriculture and medicine is both a promise and challenge for systems biology. Researchers have been working to determine how to best use the vast amount of genomic data available to predict how organisms respond to changes in nutrition, toxins, and pathogen exposure—which in turn would inform crop improvement, disease prognosis, epidemiology, and public health. However, accurately predicting such complex outcomes in agriculture and medicine from genome-scale information remains a significant challenge.
In the Nature Communications study, NYU researchers and collaborators in the U.S. and Taiwan tackled this challenge using machine learning, a type of artificial intelligence used to detect patterns in data.
The logo of Samsung Electronics is seen at its office building in Seoul, South Korea, August 25 2017. REUTERS/Kim Hong-Ji/File Photo.
SEOUL, Sept 23 (Reuters) — Samsung Electronics (005930.KS) is in talks with Tesla (TSLA.O) to make Tesla’s next-generation self-driving chips based on Samsung’s 7-nanometre chip production process, a South Korean newspaper reported on Thursday.
Since the beginning of this year, Tesla and Samsung have discussed chip design multiple times and exchanged chip prototypes for Tesla’s upcoming Hardware 4 self-driving computer, the Korea Economic Daily reported, citing sources with direct knowledge of the matter.
A more comprehensible concept could be “multi-skilled AI.”
Multi-skilled AI is an approach to improving technologies by expanding their senses. In a similar way to how kids learn through perception and talking, multi-skilled AI systems combine senses and language to broaden their understanding of the world.
“It goes beyond image or language recognition and allows multiple tasks to be done,” Elizabeth Bramson-Boudreau, the CEO and publisher of MIT Technology Review, tells TNW.
2030’ish: on demand books, movies, TV shows, video games, etc…
In the ever-increasing list of things that machine learning AI can do in our modern world, there’s now a program that will code (or at least, try to code) whatever you tell it to in plain English. Want some flashy banner text that changes color every few seconds? Tell that to OpenAI Codex and it will code it for you in seconds. The OpenAI Codex beta, currently only available through an online waiting list, is a simple web tool with three windows: one to type in commands, one that shows the code generated by those commands, and one that shows what the code does. You could theoretically use Codex for all sorts of tasks in over a dozen coding languages, but the coolest use I’ve seen is coding simple Javascript videogames with just a handful of natural language instructions. Check out the video below from YouTuber Joy of Curiosity to see it in action.
He is geeky, he is smart, he is talented and what not! Talking about one of the leading tech agencies of the world would surely give you a clear picture of whom we are pointing to. It’s the none other than the great Elon Musk who has taken the world of science and technological advancements by storm. And now, we are just a step behind to get startled by his latest innovations of tech startup Neuralink that builds implants to connect human brains with computer interfaces via artificial intelligence.
The US Air Force recently tested a robotic system prototype for aircraft weapon loading at the Barksdale Air Force Base, Louisiana.
The Square One Systems Design, MHU-TSX, uses non-hydraulic actuation making its movements precise, a key advantage over the current weapon hauling systems, the Jackson-based company revealed.
Bob Viola, Square One Systems Design director of engineering, stated that adding a sensor package to the system would make it more autonomous, leaving the personnel only to “supervise what it’s doing, which should make the loading process quicker.”
Reservoir computing is already one of the most advanced and most powerful types of artificial intelligence that scientists have at their disposal – and now a new study outlines how to make it up to a million times faster on certain tasks.
That’s an exciting development when it comes to tackling the most complex computational challenges, from predicting the way the weather is going to turn, to modeling the flow of fluids through a particular space.
Such problems are what this type of resource-intensive computing was developed to take on; now, the latest innovations are going to make it even more useful. The team behind this new study is calling it the next generation of reservoir computing.
Disaster sciences, digital twins & artificial intelligence — craig fugate, chief emergency management officer, one concern.
Mr. Craig Fugate is the former Director of the Florida Division of Emergency Management, and former administrator of the Federal Emergency Management Agency (FEMA — an agency of the United States Department of Homeland Security, whose primary purpose is to coordinate the response to disasters that have occurred in the United States and that overwhelm the resources of local and state authorities.)
Mr. Fugate is currently the Chief Emergency Management Officer of One Concern, (a Resilience-as-a-Service solutions company that brings disaster science together with machine learning for better decision making).
Mr. Fugate is also senior advisor at BlueDot Strategies, where he assists a range of clients with emergency management implementation strategies and crisis communications.
Mr. Fugate serves on the Board of Directors of PG&E Corp., one of the largest electric and natural gas utilities in the U.S., and on the staff at Indian River State College, serving as a strategic consultant in emergency management.
DeepMind has given 3D structure to 350,000 proteins, including every one made by humans, promising a boon for medicine and drug design.
