Scientists in the US are developing artificial intelligence (AI) systems that could help robots assist soldiers in the battlefield in future.
For the research, published in the journal Science Advances, the team looked at soldier brain activity during specific tasks for ways to incorporate AI teaming to dynamically complete tasks.
According to Jean Vettel, a senior neuroscientist at the Army Research Laboratory (ARL) in the US, technologies that can predict states and behaviours of the individual soldier may help create a more optimised team.
The work between ARL and the University at Buffalo is looking at ways the dynamics and architecture of the human brain may be coordinated to predict such behaviours and consequently optimize team performance.
“In military operations, soldiers perform multiple tasks at once. They’re analysing information from multiple sources, navigating environments while simultaneously assessing threats, sharing situational awareness, and communicating with a distributed team,” said Vettel.
“This requires soldiers to constantly switch among these tasks, which means that the brain is also rapidly shifting among the different brain regions needed for these different tasks,” he said.
“If we can use brain data in the moment to indicate what task they’re doing, AI could dynamically respond and adapt to assist the Soldier in completing the task,” he added.
To achieve this future capability, the researchers first sought to understand how the brain coordinates its different regions while executing a particular task. They used a computational approach to understand how this may be characterised to inform the behavioural prediction.
To complete the study, researchers mapped how different regions of the brain were connected to one another in 30 different people via tracts of tissue called white matter.
Scientists converted these maps into computational models of each subject’s brain, and used computers to simulate what would happen when a single region of a person’s brain was stimulated.
They then used a mathematical framework, which they developed, to measure how brain activity became synchronised across various cognitive systems in the simulations.
“While the work has been deployed on individual brains of a finite brain structure, it would be very interesting to see if coordination of Soldiers and autonomous systems may also be described with this method, too,” said Javier Garcia, an ARL neuroscientist.
“Much how the brain coordinates regions that carry out specific functions, you can think of how this method may describe coordinated teams of individuals and autonomous systems of varied skills work together to complete a mission,” Garcia said.
Look Smarter, Feel Healthier with “Bloom” – SmartWatch by Toreto
Toreto, a prominent leader in the innovative and portable digital product market, announces the launch of Bloom SmartWatch.
The newly launched “Bloom” keeps a track of your health while letting you create your own style statement; it not only keeps you updated on your daily physical activities but also helps you monitor various other aspects.
Toreto Bloom is equipped with Corning Gorilla Glass 5 and has an alloyed metallic finish which adds on to your everyday style.
IP68 waterproof feature keeps the watch safe up to 1.5 meters for half an hour.
Combined with an advanced chipset, the band boasts of lower battery consumption that ensures long term performance.
Equipped with Bluetooth 4.4, you can stay connected with the world as you get alerts for the messages, calls on your wrist. Simply pair your SmartWatch with Wear Health App on your Android and iOS Smartphone to access all its features.
Toreto Bloom immaculately measures the number of calories burnt, tests blood pressure, tracks heart rate, while keeping a count of the steps taken; in order to improve the users’ fitness.
This stylish SmartWatch works well with all the Android, iOS devices and is waterproof as well.
Bloom enables users to follow social media updates without looking at your phone.
Supports Android, iOS devices:
Bloom works well with all Android and iOS devices and gets easily connected over Bluetooth for easy access.
Track your BP, heart rate:
Bloom has an inbuilt light mechanism that helps measure heart rate and blood pressure so that you can stay in the best of your health.
The inbuilt pedometer of the SmartWatch lets you keep a track of steps which helps you track the steps you have taken in the entire day along with the distance you have travelled.
Bloom also has a calories counter with which you can control your calorie intake and maintain your fitness.
Track Calls and Social Media:
As you connect your Smartphone to your watch via Bluetooth, you automatically get Call and SMS notifications on your device. Also, you can track WhatsApp, Facebook, Messenger, WeChat, Twitter and other social media app notifications on your watch easily.
Customize watch screen:
Unlike other SmartWatches, one of Bloom’s amazing features enables you to choose any image on your phone and put it as your watch’s wallpaper. Other Features: Apart from the above features Bloom also has an alarm clock and a countdown timer.
Pricing and Availability:
Toreto Bloom is available at an introductory and pocket-friendly price-point of INR 3,499/- through all the leading e-commerce platforms and retail stores across India. This SmartWatch comes along with two detachable straps and a 12-month warranty. For more information, kindly visit www.toreto.in
Mumbai youth got a job of 1.2 crores at Google office in London
It is true that Abdullah Khan (21) could not clear the IIT entrance, but he has made an offer that many IITians would envy.
Earlier this week, Khan got a job at the Google office in London, for a package of 1.2 crore rupees.
The average salary offered to a graduate of a non-IIT engineering college in the city is around Rs 4 lakh per anum. Khan, a student at Shree LR Tiwari Engineering College, Mira Road, was called for a Google interview based on his profile on a site that hosts competitive programming challenges.
After some online interviews, earlier this month Khan was asked to show up for the final screening at Google’s office in London.
His six-figure package includes the base salary of Rs 54.5 lakh (£ 60,000) per year, a bonus of 15 per cent and stock options worth Rs 58.9 lakh ($ 85,000) for four years.
Khan, who is pursuing his last year BE (Computer Science), will join the reliability engineering team at Google’s site in September.
An email from a Google official in November last year mentioned that they had seen Khan’s profile on the programming site and said they were looking for people for locations across Europe.
Khan said that he did not expect such an offer when he participated in competitions on that site.
“I used to participate as it was fun. I did not even know that firms check programmers’ profiles on such sites. I showed the email to my friend who knew someone who had received such an email in the past. I am looking forward to joining their team. It will be an amazing learning experience for me,” said Khan. The coding enthusiast did his education in Saudi Arabia and moved to Mumbai only after Class XII.
Artificial intelligence may help develop clean, limitless fusion energy
Artificial intelligence (AI) may help develop safe, clean and virtually limitless fusion energy for generating electricity, scientists say.
A team, including researchers from Princeton University and Harvard University, are applying deep learning to forecast sudden disruptions that can halt fusion reactions and damage the doughnut-shaped tokamaks or apparatus that house the reactions.
Deep learning is a powerful new version of the machine learning form of AI, according to the findings published in the journal Nature magazine.
“This research opens a promising new chapter in the effort to bring unlimited energy to Earth,” Steven Cowley, director of US Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL).
“Artificial intelligence is exploding across the sciences and now it’s beginning to contribute to the worldwide quest for fusion power,” Cowley said in a statement.
Fusion, which drives the Sun and stars, is the fusing of light elements in the form of plasma — the hot, charged state of matter composed of free electrons and atomic nuclei — that generates energy.
Scientists are seeking to replicate fusion on Earth for an abundant supply of power for the production of electricity.
“Artificial intelligence is the most intriguing area of scientific growth right now, and to marry it to fusion science is very exciting,” said William Tang, a principal research physicist at PPPL.
“We have accelerated the ability to predict with high accuracy the most dangerous challenge to clean fusion energy,” Tang said.
Unlike traditional software, which carries out prescribed instructions, deep learning learns from its mistakes.
Accomplishing this seeming magic are neural networks, layers of interconnected nodes — mathematical algorithms — that are “parameterised,” or weighted by the programme to shape the desired output.
For any given input the nodes seek to produce a specified output, such as correct identification of a face or accurate forecasts of a disruption.
Training kicks in when a node fails to achieve this task: the weights automatically adjust themselves for fresh data until the correct output is obtained.