Posts belonging to Category Artificial Intelligence



Artificial Intelligence Tracks In Real Time Everybody In The Crowd

Artificial Intelligence that can pick you out in a crowd and then track your every move. Japanese firm Hitachi‘s new imaging system locks on to at least 100 different characteristics of an individual … including gender, age, hair style, clothes, and mannerisms. Hitachi says it provides real-time tracking and monitoring of crowded areas.

Person of interestCLICK ON THE IMAGE TO ENJOY THE VIDEO

Until now, we need a lot of security guards and people to review security camera footage. We developed this AI software in the hopes it would help them do just that,” says Tomokazu Murakami, Hitachi researcher.

The system can help spot a suspicious individual or find a missing child, the makers say. So, an eyewitness could provide a limited description, with the AI software quickly scanning its database for a match.
In Japan, the demand for such technology is increasing because of the Tokyo 2020 Olympics, but for us we’re developing it in a way so that it can be utilized in many different places such as train stations, stadiums, and even shopping malls,” comments Tomokazu Murakami.

High-speed tracking of individuals such as this will undoubtedly have its critics. But as Japan prepares to host the 2020 Olympics, Hitachi insists its system can contribute to public safety and security.

Source: http://uk.reuters.com/

A Brain-computer Interface To Combat The Rise of AI

Elon Musk is attempting to combat the rise of artificial intelligence (AI) with the launch of his latest venture, brain-computer interface company NeuralinkLittle is known about the startup, aside from what has been revealed in a Wall Street Journal report, but says sources have described it as “neural lace” technology that is being engineered by the company to allow humans to seamlessly communicate with technology without the need for an actual, physical interface. The company has also been registered in California as a medical research entity because Neuralink’s initial focus will be on using the described interface to help with the symptoms of chronic conditions, from epilepsy to depression. This is said to be similar to how deep brain stimulation controlled by an implant helps  Matt Eagles, who has Parkinson’s, manage his symptoms effectively. This is far from the first time Musk has shown an interest in merging man and machine. At a Tesla launch in Dubai earlier this year, the billionaire spoke about the need for humans to become cyborgs if we are to survive the rise of artificial intelligence.

cyborg woman

Over time I think we will probably see a closer merger of biological intelligence and digital intelligence,”CNBC reported him as saying at the time. “It’s mostly about the bandwidth, the speed of the connection between your brain and the digital version of yourself, particularly output.” Transhumanism, the enhancement of humanity’s capabilities through science and technology, is already a living reality for many people, to varying degrees. Documentary-maker Rob Spence replaced one of his own eyes with a video camera in 2008; amputees are using prosthetics connected to their own nerves and controlled using electrical signals from the brain; implants are helping tetraplegics regain independence through the BrainGate project.

Former director of the United States Defense Advanced Research Projects Agency (DARPA), Arati Prabhakar, comments: “From my perspective, which embraces a wide swathe of research disciplines, it seems clear that we humans are on a path to a more symbiotic union with our machines.

Source: http://www.wired.co.uk/

Artificial Intelligence Writes Code By Looting

Artificial intelligence (AI) has taught itself to create its own encryption and produced its own universal ‘language. Now it’s writing its own code using similar techniques to humans. A neural network, called DeepCoder, developed by Microsoft and University of Cambridge computer scientists, has learnt how to write programs without a prior knowledge of code.  DeepCoder solved basic challenges of the kind set by programming competitions. This kind of approach could make it much easier for people to build simple programs without knowing how to write code.

deep coder

All of a sudden people could be so much more productive,” says Armando Solar-Lezama at the Massachusetts Institute of Technology, who was not involved in the work. “They could build systems that it [would be] impossible to build before.”

Ultimately, the approach could allow non-coders to simply describe an idea for a program and let the system build it, says Marc Brockschmidt, one of DeepCoder’s creators at Microsoft Research in Cambridge. UK.DeepCoder uses a technique called program synthesis: creating new programs by piecing together lines of code taken from existing software – just like a programmer might. Given a list of inputs and outputs for each code fragment, DeepCoder learned which pieces of code were needed to achieve the desired result overall.

Source: https://www.newscientist.com/

How To Fine-Tune NanoFabrication

Daniel Packwood, Junior Associate Professor at Kyoto University’s Institute for Integrated Cell-Material Sciences (iCeMS), is improving methods for constructing tiny “nanomaterials” using a “bottom-up” approach called “molecular self-assembly”. Using this method, molecules are chosen according to their ability to spontaneously interact and combine to form shapes with specific functions. In the future, this method may be used to produce tiny wires with diameters 1/100,000th that of a piece of hair, or tiny electrical circuits that can fit on the tip of a needle.

nanofabrication

Molecular self-assembly is a spontaneous process that cannot be controlled directly by laboratory equipment, so it must be controlled indirectly. This is done by carefully choosing the direction of the intermolecular interactions, known as “chemical control”, and carefully choosing the temperature at which these interactions happen, known as “entropic control”. Researchers know that when entropic control is very weak, for example, molecules are under chemical control and assemble in the direction of the free sites available for molecule-to-molecule interaction. On the other hand, self-assembly does not occur when entropic control is much stronger than the chemical control, and the molecules remain randomly dispersed.

Packwood teamed up with colleagues in Japan and the U.S. to develop a computational method that allows them to simulate molecular self-assembly on metal surfaces while separating the effects of chemical and entropic controls. This new computational method makes use of artificial intelligence to simulate how molecules behave when placed on a metal surface. Specifically, a “machine learning” technique is used to analyse a database of intermolecular interactions. This machine learning technique builds a model that encodes the information contained in the database, and in turn this model can predict the outcome of the molecular self-assembly process with high accuracy.

Source: http://www.kyoto-u.ac.jp/

A ”NaNose” Device Identifies 17 Types Of Diseases With A Single Sniff

The future of early diagnoses of disease could be this simple, according to a team of researchers in Israel. The ‘NaNose‘ as they call it can differentiate between 17 types of diseases with a single sniff identifying so-called smelly compounds in anything from cancers to Parkinson’s.

nanose2CLICK ON THE IMAGE TO ENJOY THE VIDEO

Indeed, what we have found in our most recent research in this regard, that 17 types of disease have 13 common compounds that are found in all different types of disease, but the mixture of the compounds and the composition of these compounds changes from one disease to another disease. And this is what is really unique and what really we expect to see and utilize in order to make the diagnosis from exhaled breat,” says Professor Hossam  Haick ftom the Institute of Technology- Technion.

The NaNose uses “artificially intelligent nanoarraysensors to analyze the data obtained from receptors that “smell” the patient’s breath.

So our main idea is to try an imitate what’s going on in nature. So like we can take a canine, a dog and train it to scent the smell of drugs, of explosives or a missing person, we are trying to do it artificially. And we can do that by using these nano-materials and we build these nano material-based sensors. And of course there are many advantages and one of them of course is going all the way from sensors big as this to really small devices like this that have that have on them eight sensors and which can be incorporated to systems like this, or even smaller,” explains Doctor Yoav Broza from Technion .

Several companies are now trying to commercialize the technology – and encourage its use in healthcare systems… or see it incorporated into your smartphone.

Source: http://www.reuters.com/

First Driverless Electric Bus Line Opened In Paris

Shuttling their way to a greener city. Paris opening its first driverless buses to the public on Monday. Fully electric and fully autonomous, the ‘EZ 10‘ transports up to 10 passengers across the Seine between two main stations. The buses use laser sensors to analyse their surroundings on the road and for now they don’t have to share it with any other vehicles.

driverless Bus Paris CLICK ON THE IMAGE TO ENJOY THE VIDEO

“Fewer people come on board, its slower, its electric, it doesn’t pollute and it can be stored away more easily but it will never replace a traditional bus“, says Jose Gomes, who has been driving buses here for 26 years. He’ll oversee the smooth operation of the autonomous bus.

The shuttles come as Paris faces high pollution levels. City mayor Anna Hidalgo wants to reduce the number of cars, while authorities crack down on traffic restrictions. It may be a short 130m stretch for the buses but for Paris, it’s a big step towards promoting cleaner transport.

Source: http://www.reuters.com/

Buildings That Grow Their Own Foundations

Could buildings one day grow their own foundations? This British architect thinks so. He says that within a decade his research team will create bacteria that interacts with the soil, strengthening buildings above and rendering concrete-filled trenches obsolete.

buildings-that-grow-their-own-foundationsCLICK ON THE IMAGE TO ENJOY THE VIDEO

Dr  Martyn Dade-Robertson, Reader in Design  Computation, Newcastle University, explains: “What we want to do is design a type of bacteria that would detect the mechanical changes in that soil, essentially synthesise materials so they would make materials in response. So they’re strengthening the soils where those loads are. The first part of that has been to identify pressure sensing genes, so genes in the bacteria that will respond to relatively low levels of pressure – and we can use that as a switch, effectively to turn on a process of material synthesis in the bacteria.”

His research team has identified dozens of genes in E. Coli bacteria, modifying them to create a ‘gene circuit‘.  This enables bacteria to respond to its environment and produce ‘biocement‘. Research is at an early stage, although self-healing material is already used in some concrete. Here the concept is being taken much further. Dr  Martyn Dade-Robertson adds: “We want to make the ground respond to the loads that are placed on it. The idea is that as you load the ground you get these pressures within this material and you get the ground essentially intelligently responding to those pressures by reinforcing itself, so you could construct large-scale civil engineering projects without digging those foundation trenches, by essentially seeding the ground with these microscopic bacteria.”

The team’s new computer aided design application is already predicting where underground bacteria may produce materials. If a grant application succeeds, they hope to have created and tested large-scale responsive material within three years.

Source: http://www.reuters.com/

Robots Surpass Humans to Perform Cataract Surgery

Axsis is a new robotic surgeondexterous but delicate enough to perform cataract surgery. Just 1.8 millimetres in diameter, its two tiny robotic arms would eventually be tipped with surgical instruments. The surgeon teleoperates it using two haptic joysticks, giving instant feedback to the user. Sensing algorithms minimise the risk of human error.

robots-better-than-humans-to-achieve-cataract-surgery

You can see where the robot is, see where the lens is, see where the relevant anatomy is. And by having a computer in the loop between when the surgeon’s moving their hands and the robot moving, that computer can recognise when the surgeon’s about to make a motion that can go outside and actually puncture the lens, for example, and stop that motion“, says Chris Wagner, Head of Advanced Surgical Systems at Cambridge Consultants.

Traditional surgical robots, such as Intuitive Surgical’s da Vinci system, are large. But Axsis has all components built into a small external body. Inside, tendon-like cables control precise movements; each cable just 110 microns in diameter.

“...the same size as a human hair. And yet this material is gel-spun polyethylene which is stronger than kevlar, stronger than steel by volume and it’s what Nasa uses in some of their solar sails. So it’s an extremely efficient material, extremely strong for making this high performance actuator“, adds Wagner. Routine cataract surgery can already be performed quickly and with a relatively low complication rate. Some ophthalmologists have questioned whether this device offers much improvement. But the makers say Axsis demonstrates how miniaturised robotics could help surgeons with numerous precision procedures, without the barrier of large equipment.

“I think the fact that it’s a 1.8 millimetre diameter robot that’s operating on the size scale of the eye, it’s exciting. This just opens the door to a number of different types of procedures that you can do that previously weren’t possible.” The team says it will still take significant investment and several years to turn this prototype into a viable tool. But, they say, Axsis demonstrates how scaled-down surgical robots could be a cut above the rest.

Source: http://www.reuters.com/

Self-Driving Truck Delivered 50,000 Beers

If you drank a cold beer in Colorado Springs this weekend, it may have been delivered by a self-driving truck. Outfitted with $30,000 worth of hardware and software from San Francisco startup Otto, a company just bought by UBER, , the truck had just hours before made the world’s first autonomous truck delivery.

self-driving-truck-otto

computer take control on the road and delivered 50,000 cans of Budweiser  — in what the beer company says was the first commercial delivery using the tech. The truck that made the 120-mile journey is one of a handful of Volvo rigs equipped with tech developed by Otto, a start-up Uber acquired in August. Unlike other self-driving systems on the market, such as Tesla‘s autopilot, Otto‘s tech lets drivers get out from behind the wheel altogether.

Source: http://www.washingtonpost.com/

Algorithm helps patients to choose a new nose

Having plastic surgery of any kind is a major decision, but knowing how you’ll look in advance of going under the knife can help dispel some of the anxiety. Surgeons have been using imaging software for some time to help patients visualise the results of prospective work. But researchers from Belgium have developed software they say can help surgeons deliver even better results, while increasing the interaction with their patients.

At the Meaningful Interactions Lab (mintlab), a research group of the University of Leuven (Belgium) and research institute IMEC, they’ve collaborated with a consortium of research partners and companies to develop a 3D tool to accurately simulate the outcome of nose surgery. The tool uses a combination of facial modelling statistics with morphing algorithms. The ‘average nose‘ is used as a baseline, computed based on the characteristics of a couple of hundreds of faces in their database.

noseCLICK ON THE IMAGE TO ENJOY THE VIDEO

The new algorithm delivers more realistic results for rhinoplasty, commonly called a nose job. First, a 3D model is built using off-the-shelf components. Once imported into their software, it creates the most appropriate looking nose, using hundreds of previously scanned faces as a baseline.

We combined this with an algorithm that was based on faces that were scanned – a lot of faces were scanned – so that the algorithm could calculate what a realistic nose could look like. So in Photoshop you could very easily make like a Pinocchio nose and that’s really unrealistic, but with this software we’ve managed to keep the boundaries to what’s really realistic“, says Arne Jansen, resarcher at the Mintlab.
The computer-created nose can still be adjusted to the patient’s liking. The team says it also has important applications for designing prosthetic replacements for patients whose noses have been amputated, often due to cancer. It uses facial characteristics to ‘predict‘ a perfectly fitting whole new nose – even though there is no existing nasal structure to base it on. Key landmarks on the face are pinpointed; such as cheekbones, tip of the nose and corners of the eyes to help it design a well-suited nose.  “And the software can look at the same characteristics of the face and use that to calculate a nose that is fitting for this particular face. And so what the software won’t do is make a general nose; make on nose for all – it will make a characteristic nose that you can still alter towards the needs of the patients“, he adds.

Source: https://www.kuleuven.be/

How To Produce Music Hits With The Help Of Artificial Intelligence

Sony is developing a new software system containing algorithms that create songs based on existing music and help their arrangement and performance..

It sounds like The Beatles…..but wasn’t written by the Fab Four.  ‘Daddy’s Car‘ was created by Sony‘s artificial intelligence system Flow Machines, with the aim of sounding like Lennon and McCartney. It was written using algorithms at Sony‘s Computer Science Lab in Paris.

the-beatlesCLICK ON THE IMAGE TO ENJOY THE VIDEO

What the algorithm will do is always try to cope with your constraints, with what you are imposing to the system, to the score, the lead sheet – and the algorithm will always try to repair if you want, or generate stuff that is at the same time compatible with what you imposed and in the same style of the training song set“, says computer scientist Pierre Roy.

Each song‘s starting point is the machine’s database of sheet music from 13,000 existing tracks. Users choose a title whose sound or feel they like. The machine does the rest. Professional musician Benoit Carre recorded ‘Daddy’s Car‘, along with this track, ‘Mister Shadow‘. He insists the music created isn’t devoid of feeling, despite being artificially created.

We can find a soul in whatever type of music, including that generated by a computer. 1980s music was generated by a synthesiser. Music is what the person makes of it. It doesn’t exist alone. Each song is a partition sheet, with a lot of things around it“, comments Benoit carré, music composer from the band Liliclub.

After the song is created, musicians can write their own parts to broaden the sound. The  British rock star Peter Hook doesn’t like the idea: “Nearly every song I’ve written, in New Order and outside of New Order, has been with somebody else, and that is the beauty of it. Writing with a machine – what feedback, what buzz, are you going to get from a machine? All machines do is drive you crazy. You’re forever turning them off and on. So not for me, mate. I’ll stick with people.”

Sony wants to launch albums with songs created entirely by algorithm – one based on Beatles music. It says the algorithms ensure songs are unique and avoid plagiarism….but admit the issue of songwriting credits could be tricky to determine.

Source: http://www.reuters.com/

Yahoo secretly scanned emails for U.S. intelligence

In compliance with a classified U.S. government demand, Yahoo scanned hundreds of millions e-mails for specific information, sources familiar with the matter told Reuters. Sources who did not want to be identified say that would have meant a specific phrase in an e-mail or attachment. Some surveillance experts say this is the first such major case to surface of an Internet company agreeing to an intelligence request by searching all arriving messages. The content of the information intelligence officers were looking for is not known. Reuters was unable to determine what data, if any, Yahoo may have handed over.

yahoo-headquarters

A day after the Reuters report broke, Yahoo issued a statement denying the story. The statement from a Yahoo spokesperson and sent to TechRadar reads, “The [Reuters] article is misleading. We narrowly interpret every government request for user data to minimize disclosure. The mail scanning described in the article does not exist on our systems.”

It’s interesting to note that the statement says the Reuters report is “misleading” and not unequivocally false. There may be some truth to the original story, but Yahoo is not saying which parts are accurate.

However, Yahoo does deny the existence of the email scanning tool that anonymous sources revealed to Reuters. It’s unknown why Yahoo originally provided us with a statement that read, “Yahoo is a law abiding company, and complies with the laws of the United States,” only to follow up with a denial 12 hours later with the statement above.

Yahoo built custom software for the US government to help its spy agencies look for specific information in any of its users’ emails, according to a new report.

Reuters claims Yahoo built the program last year at the behest of the National Security Agency (NSA) and Federal Bureau of Investigations (FBI). The publication learned about the company’s alleged actions through interviews with two anonymous former Yahoo employees and another anonymous source familiar with the matter.

While technically legal according to the Foreign Intelligence Surveillance Act  (FISA), Yahoo‘s move to allow real-time mass surveillance of its users is unprecedented. It’s also unknown what exactly the NSA and FBI were looking for.

Source: http://www.reuters.com/