Google Buys A.I. Firm

Google has purchased DeepMind Technologies, an artificial intelligence company in London, reportedly for $400 million.

A Google representative confirmed the via email, but said the company’s isn’t providing any additional information at this time.

News website Re/code said in a report this past Sunday that Google was paying $400 million for the company, founded by games prodigy and neuroscientist Demis Hassabis, Shane Legg and Mustafa Suleyman.

The company claims on its website that it combines “the best techniques from machine learning and systems neuroscience to build powerful general-purpose learning algorithms.” It said its first commercial applications are in simulations, e-commerce and games.

Google announced this month it was paying $3.2 billion in cash to acquire Nest, a maker of smart smoke alarms and thermostats, in what is seen as a bid to expand into the connected home market. It also acquired in January a security firm called Impermium, to boost its expertise in countering spam and abuse.

The Internet giant said on a research site that much of its work on language, speech, translation, and visual processing relies on machine learning and artificial intelligence. “In all of those tasks and many others, we gather large volumes of direct or indirect evidence of relationships of interest, and we apply learning algorithms to generalize from that evidence to new cases of interest,” it said.

In May, Google launched a Quantum Artificial Intelligence Lab, hosted by NASA’s Ames Research Center. The Universities Space Research Association was to invite researchers around the world to share time on the quantum computer from D-Wave Systems, to study how quantum computing can advance machine learning.

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Can Robots Run On (NH2)2CO?

Scientists have discovered a way to power future robots using an unusual source — urine.

Researchers at the University of the West of England, Bristol and the University of Bristol collaborated to build a system that will enable robots to function without batteries or being plugged into an electrical outlet.

Based on the functioning of the human heart, the system is designed to pump urine into the robot’s “engine room,” converting the waste into electricity and enabling the robot to function completely on its own.

Scientists are hoping the system, which can hold 24.5 ml of urine, could be used to power future generations of robots, or what they’re calling EcoBots.

“In the city environment, they could re-charge using urine from urinals in public lavatories,” said Peter Walters, a researcher with the University of the West of England. “In rural environments, liquid waste effluent could be collected from farms.”

In the past 10 years, researchers have built four generations of EcoBots, each able to use microorganisms to digest the waste material and generate electricity from it, the university said.

Along with using human and animal urine, the robotic system also can create power by using rotten fruit and vegetables, dead flies, waste water and sludge.

Ioannis Ieropoulos, a scientist with the Bristol Robotics Laboratory, explained that the microorganisms work inside microbial fuel cells where they metabolize the organics, converting them into carbon dioxide and electricity.

Like the human heart, the robotic system works by using artificial muscles that compress a soft area in the center of the device, forcing fluid to be expelled through an outlet and delivered to the fuel cells. The artificial muscles then relax and go through the process again for the next cycle.

“The artificial heartbeat is mechanically simpler than a conventional electric motor-driven pump by virtue of the fact that it employs artificial muscle fibers to create the pumping action, rather than an electric motor, which is by comparison a more complex mechanical assembly,” Walter said.

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IBM Still Talking Up SyNAPSE

IBM has unveiled the latest stage in its plans to generate a computer system that copies the human brain, calculating tasks that are relatively easy for humans but difficult for computers.

As part of the firm’s Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) project, IBM researchers have been working with Cornell University and Inilabs to create the programming language with $53m in funding from the Defense Advanced Research Projects Agency (DARPA).

First unveiled two years ago this month, the technology – which mimics both the size and power of humanity’s most complex organ – looks to solve the problems created by traditional computing models when handling vast amounts of high speed data.

IBM explained the new programming language, perhaps not in layman’s terms, by saying it “breaks the mould of sequential operation underlying today’s von Neumann architectures and computers” and instead “is tailored for a new class of distributed, highly interconnected, asynchronous, parallel, large-scale cognitive computing architectures”.

That, in English, basically means that it could be used to create next generation intelligent sensor networks that are capable of perception, action and cognition, the sorts of mental processes that humans take for granted and perform with ease.

Dr Dharmendra Modha, who heads the programme at IBM Research, expanded on what this might mean for the future, sayng that the time has come to move forward into the next stage of information technology.

“Today, we’re at another turning point in the history of information technology. The era that Backus and his contemporaries helped create, the programmable computing era, is being superseded by the era of cognitive computing.

“Increasingly, computers will gather huge quantities of data, reason over the data, and learn from their interactions with information and people. These new capabilities will help us penetrate complexity and make better decisions about everything from how to manage cities to how to solve confounding business problems.”

The hardware for IBM’s cognitive computers mimic the brain, as they are built around small “neurosynaptic cores”. The cores are modeled on the brain, and feature 256 “neurons” (processors), 256 “axons” (memory) and 64,000 “synapses” (communications between neurons and axons).

IBM suggested that potential uses for this technology could include a pair of glasses which assist the visually impaired when navigating through potentially hazardous environments. Taking in vast amounts of visual and sound data, the augmented reality glasses would highlight obstacles such as kerbs and cars, and steer the user clear of danger.

Other uses could include intelligent microphones that keep track of who is speaking to create an accurate transcript of any conversation.

In the long term, IBM hopes to build a cognitive computer scaled to 100 trillion synapses. This would fit inside a space with a volume of no more than two litres while consuming less than one kilowatt of power.

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Is The FBI Snooping TOR?

The Federal Bureau of Investigation (FBI) has been accused of gathering data from the anonymous network known as TOR.

The FBI might be behind a security assault on the TOR network that grabs users’ information.

Security researcher Vlad Tsyrklevich said that the attack is a strange one and is most likely the work of the authorities.

“[It] doesn’t download a backdoor or execute any other commands, this is definitely law enforcement,” he said in a tweet about the discovery.

He went a bit further in a blog post, explaining that the Firefox vulnerability is being used to send data in one direction.

“Briefly, this payload connects to 65.222.202.54:80 and sends it an HTTP request that includes the host name (via gethostname()) and the MAC address of the local host (via calling SendARP on gethostbyname()->h_addr_list). After that it cleans up the state and appears to deliberately crash,” he added.

“Because this payload does not download or execute any secondary backdoor or commands it’s very likely that this is being operated by an LEA and not by blackhats.”

The bug is listed at Mozilla, and the firm has a blog post saying that it is looking into it.

Over the weekend a blog post appeared on the TOR website that sought to distant it from a number of closed down properties or hidden websites. It is thought that the shuttered websites, which were hosted by an outfit called Freedom Hosting, were home to the worst kind of abuses.

A report at the Irish Examiner said that a chap called Eric Eoin Marques is the subject of a US extradition request. He is accused of being in charge of Freedom Hosting.

“Around midnight on August 4th we were notified by a few people that a large number of hidden service addresses have disappeared from the TOR Network,” the TOR project said.

“There are a variety of [rumors] about a hosting company for hidden services: that it is suddenly offline, has been breached, or attackers have placed a javascript exploit on their web site,” it said.

“The person, or persons, who run Freedom Hosting are in no way affiliated or connected to The TOR Project, Inc., the organization coordinating the development of the TOR software and research.”

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Are CCTV Cameras Hackable?

When the nosy British bought CCTV cameras, worried citizens were told that they could not be hacked.

Now a US security expert says he has identified ways to remotely attack high-end surveillance cameras used by industrial plants, prisons, banks and the military. Craig Heffner, said he discovered the previously unreported bugs in digital video surveillance equipment from firms including Cisco, D-Link and TRENDnet.

They could use it as a pivot point, an initial foothold, to get into the network and start attacking internal systems. Heffner said that it was a significant threat as somebody could potentially access a camera and view it. Or they could also use it as a pivot point, an initial foothold, to get into the network and start attacking internal systems.

He will show how to exploit these bugs at the Black Hat hacking conference, which starts on July 31 in Las Vegas. Heffner said he has discovered hundreds of thousands of surveillance cameras that can be accessed via the public internet.

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EPIC Wants Biometric Data From The FBI

The Electronic Privacy Information Center (EPIC) has pressed the US Federal Bureau of Investigation (FBI) for access to its database of US citizens’ biometric data.

EPIC already tried to get access twice last September, and now it is trying again. It said that it has sent repeated freedom of information act requests regarding the database, and that the FBI has failed to respond. Now it has filed a lawsuit for access (PDF).

It warned that the Next Generation Identification system (NGI) is a massive database that “when completed, [will] be the largest biometric database in the world”.

The NGI will use CCTV systems and facial recognition, and it includes DNA profiles, iris scans, palm prints, voice identification profiles, photographs, and other “identifying information”.

The FBI has an information page about the NGI, and there it said that photographs of tattoos are also included and that the system is designed to speed up suspect detection and response times.

“The NGI system will offer state-of-the-art biometric identification services and provide a flexible framework of core capabilities that will serve as a platform for multimodal functionality,” it said.

“The NGI Program Office mission is to reduce terrorist and criminal activities by improving and expanding biometric identification and criminal history information services through research, evaluation, and implementation of advanced technology”.

In its lawsuit EPIC said that the NGI database will be used for non law enforcement purposes and will be made available to “private entities”.

EPIC said that it has asked the FBI to provide information including “contracts with commercial entities and technical specifications”.

It said that so far it has received no information from the FBI in response to its requests.

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IBM’s Next-gen Transistors Mimick Human Brain

IBM has discovered a way to make transistors that could be turned into virtual circuitry that mimics how the human brain operates.

The new transistors would be made from strongly correlated materials, such as metal oxides, which researchers say can be used to build more powerful — but less power-hungry — computation circuitry.

“The scaling of conventional-based transistors is nearing an end, after a fantastic run of 50 years,” said Stuart Parkin, an IBM fellow at IBM Research. “We need to consider alternative devices and materials that operate entirely differently.”

Researchers have been trying to find ways of changing conductivity states in strongly correlated materials for years. Parkin’s team is the first to convert metal oxides from an insulated to conductive state by applying oxygen ions to the material. The team recently published details of the work in the journal Science.

In theory, such transistors could mimic how the human brain operates in that “liquids and currents of ions [would be used] to change materials,” Parkin said, noting that “brains can carry out computing operations a million times more efficiently than silicon-based computers.”

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Is A Cyber Warfare On The Horizon?

F-secure’s chief security researcher, Mikko Hypponen, has warned that we are entering into a cyber warfare revolution, and that governments will soon attempt to outdo each other based on their computer weapons’ prowess.

The internet security expert said-any future crisis between technically advanced nations will involve cyber elements.

His comments came after hearing last week that China and the US have been engaging in “war games” simulations.

“I wasn’t expecting [war games] so soon,” Hypponen said.

“I’m surprised and I think it is a good move because everybody is worried about escalation. The way to fight unnecessary escalations is that you know more about how the perceived enemy would act if there would be an escalation. War games are exactly that.”

It was Hypponen’s observations on the war games which led him to remark that we must look at “the bigger picture”.

“We’ve seen a revolution in defence technology and in technology generally over the past 60 to 70 years and I believe we are right now seeing the beginning of the next revolution: a cyber warfare revolution, which is going to as big as the revolutions we’ve seen so far in technology becoming part of defence, and part of wars,” he added.

Hypponen also predicted that it won’t be long before the world sees its first cyber arms race, including cyber war rehearsals to prove how strong countries are and boasting about their cyber skills to make other countries pay attention.

“Like nuclear in the sixties, cyber attacks are a deterrent and deterrents only work if your perceived enemies know that you have it,” he said.

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Future PCs Will Be Constant Learners

Tomorrow’s computers will constantly improve their understanding of the data they work with, which in turn will aid them in providing users with more appropriate information, predicted the software mastermind behind IBM’s Watson system.

Computers in the future “will learn through interacting with us. They will not necessarily require us to sit down and explicitly program them, but through continuous interaction with humans they will start to understand the kind of data and the kind of computation we need,” said IBM Fellow David Ferrucci, who was IBM’s principal investigator for Watson technologies. Ferrucci spoke at the IBM Smarter Computing Executive Forum, held Wednesday in New York.

“This notion of learning through collaboration and interaction is where we think computing is going,” he said.

IBM’s Watson project was an exercise for the company in how to build machines that can better anticipate user needs.

IBM researchers spent four years developing Watson, a supercomputer designed specifically to compete in the TV quiz show “Jeopardy,” a contest that took place last year. On “Jeopardy,” contestants are asked a range of questions across a wide variety of topic areas.

Watson did win at its “Jeopardy” match. Now IBM thinks the Watson computing model can have a wide range of uses.

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