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Every few years, we're wowed by news of some jaw-dropping sum paid for a previously unknown painting or drawing by a famous artist. But how can a buyer truly be sure that a piece is a legitimate creation of, say, Leonardo or Gauguin? Mathematicians at Dartmouth College, in Hanover, N.H., may have the answer. They recently presented a computer-based statistical analysis technique which they say will help art historians and conservators discover even the most skilled forgery. Their method, called sparse coding, learns what characterizes the artist's style at a level of detail that is practically imperceptible to the eye of even the most experienced appraiser. It works by examining small patches of a picture and breaking them down to a set of essential elements.

Dr. Cormac Herley spends most of his time thinking about why and how computer users reject security advice (originating from both fellow humans and software security warning prompts). Recently, his paper So Long, and No Thanks for the Externalities: the Rational Rejection of Security Advice by Users, received a fair amount of attention from the general media (Boston Globe, Tech Republic, NPR, etc). The paper also prompted our favorite software renegade, Dr. Erik Meijer, to send me an email simply asking "please set up and E2E with Cormac Herley". I did just that and the following conversation is what happened...

Tigal announced the VoiceGP family of products under its VeeaR brand of voice and speech recognition products. The product family consists of the VoiceGP module and two development kits with bundled development software. It combines all the hardware and software required for easy and cost effective development and implementation of speech synthesis and multi-language speaker independent and speaker dependent speech recognition capabilities to virtually any application, says the manufacturer. The VoiceGP Module is based on Sensory's RSC-4128 mixed signal processor. Its 42x72mm footprint and two 28-pin connectors with 2.54mm pin spacing make the module breadboard friendly and suitable for prototype boards.

The Balancing Cube is a robotic sculpture that can stand on any of its corners. Pendulum-like modules, located on the inner faces of the cube, constantly adjust their positions to shift the structure's center of gravity and keep it balanced. The cube remains stable even if you poke it. But not too hard! Created by Raffaello D'Andrea, Sebastian Trimpe, and Matt Donovan at ETH Zurich, the contraption is half art and half technology. They got their inspiration from a Cirque du Soleil performance in which acrobats use their bodies to support each other and balance together in seemingly impossible positions.

Justin is a dexterous humanoid robot that can make coffee. Now it's learning to fix satellites. Justin was developed at the Institute of Robotics and Mechatronics, part of the German Aerospace Center (DLR), in Wessling, Germany. The robot has different configurations, including one with wheels. The space version has a head, torso, and arms, but no wheels or legs, because it will be mounted on a spacecraft or satellite. The goal is to use Justin to repair or refuel satellites that need to be serviced. Its creators say that ideally the robot would work autonomously. To replace a module or refuel, for example, you'd just press a button and the robot would do the rest. But that's a long-term goal. For now, the researchers are relying on another approach: robotic telepresence. A human operator controls the robot from Earth, using a head-mounted display and a kind of arm exoskeleton. That way the operator can see what the robot sees and also feel the forces the robot is experiencing.

Humans aren't the only ones playing soccer right now. In just two days, robots from world-renowned universities will compete in Singapore for RoboCup 2010. This is the other World Cup, where players range from 15-centimeter tall Wall-E-like bots to adult-sized advanced humanoids. The RoboCup, now in its 14th edition, is the world’s largest robotics and artificial intelligence competition with more than 400 teams from dozens of countries. The idea is to use the soccer bots to advance research in machine vision, multi-agent collaboration, real-time reasoning, sensor-fusion, and other areas of robotics and AI. But its participants also aim to develop autonomous soccer playing robots that will one day be able to play against humans. The RoboCup's mission statement:

In 1975, future Hall of Famer Roger Staubach had the football but little else in a playoff game against the Minnesota Vikings. Behind by four points at midfield with 24 seconds to go, the Dallas Cowboys quarterback closed his eyes, threw the ball as hard as he could, and said a Hail Mary. (For you soccer fans, this would be like David Beckham taking a shot on goal from midfield late in injury time.)

In 1975, future Hall of Famer Roger Staubach had the football but little else in a playoff game against the Minnesota Vikings. Behind by four points at midfield with 24 seconds to go, the Dallas Cowboys quarterback closed his eyes, threw the ball as hard as he could, and said a Hail Mary. (For you soccer fans, this would be like David Beckham taking a shot on goal from midfield late in injury time.)

The "kid-size" humanoid league at the RoboCup features standardized humanoid robots that teams write software for. The reigning 2009 champs, from Technische Universitat Darmstadt, worked on making shots and passes quicker in this year's matches. Watch the video highlights and see if their strategy paid off.

Last week Wim Jongman bloged about the Nebula Oscilloscope widget. It’s just an awesome widget for monitoring activity. See Wim’s post to form an opinion yourself. So, for me as a RAP developer, the first question I always ask myself when seeing such a cool thing is: “Will it run on RAP?”. I followed the steps Wim described to get the Oscilloscope running, changed the target to RAP, commented out one line of code and started the application. You can see the result in the screencast below.

It should be able to hold an inert grenade with one hand, and pull the pin with the other hand without the need for human control.  The software system must enable the robot to perform the Challenge Tasks following a high-level script with no operator intervention. For example, the operator would issue a command such as “Throw Ball.” That command would in turn decompose into a sequence of lower-level tasks, such as “find ball,” “grasp ball,” “re-grasp ball, cock arm, and throw.”

Scientists at the Johns Hopkins University Applied Physics Laboratory (APL) were awarded no less than $34.5 million by the Defense Advanced Research Projects Agency (DARPA) to continue their outstanding work in the field of prosthetic limb testing, which has seen them come up with the most advanced model yet. Their Modular Prosthetic Limb (MPL) system is just about ready to be tested on human subjects, as it has proved successful with monkeys. Basically, the prosthetic arm is controlled by the brain through micro-arrays that are implanted (gently) in the head. They record brain signals and send the commands to the computer software that controls the arm. To be honest, it will be interesting to see just how these hair-chips are attached to the brain, but the APL say clinical tests have shown the devices to be entirely harmless. The monkeys didn’t mind them too much, at least.

As many long time readers know, I am an enthusiast of the F# programming language.  I make no apologies for the fact that, if you are developing software on the .NET platform, F# is one of the better choices you can make for numerous reasons.  It is one of the reasons I proudly contributed as a co-author to the book, Professional F# 2.0, which is being published by Wrox in October. Some of the oft cited benefits of F# are that, to distill them quickly, it is good at doing intensely mathematical operations, it is built for parallelism, and it is good at helping define domain specific languages.  Those benefits are so often cited by speakers on the F# speaker circuit that they pretty much seem cliche to me at this point (note, yours truly is proud to call himself a member of said circuit, and often gives this talk!)  As great as these features are, there are a couple features, that in my more mundane F# experiences, seem to stand out as things that “save my ass”, for lack of a better phrase, more often than not.

Most multiprocessing systems can be classified as either symmetric multiprocessing (SMP) or asymmetric multiprocessing (AMP). AMP involves the use of interprocessor communication to combine the efforts of multiple processors, each with its own local operating system and hardware resources. Also, AMP involves less OS overhead for each individual processor and a more traditional execution environment for applications. AMP seems like distributed system. The number of peripherals that are supported in today's multicore processors is quickly increasing. Symmetric-multiprocessing (SMP) software is expected to be quickly available to support these peripherals. Basically any OS can be ported to a SMP platform, but the developers must take care of following issues for SMP OS. - Handling of task priority or implicit synchronization - Spinlocks and synchronization - Synchronization between tasks sharing memory - Synchronization between tasks and ISRs sharing memory - Synchronization between ISRs sharing memory

An innovatice camera system could in future enhance security in public areas and buildings. Smart Eyes works just like the human eye. The system analyzes the recorded data in real time and then immediately flags up salient features and unusual scenes.  »Goal, goal, goal!« fans in the stadium are absolutely ecstatic, the uproar is enormous. So it‘s hardly surprising that the security personnel fail to spot a brawl going on between a few spectators. Separating jubilant fans from scuffling hooligans is virtually impossible in such a situation. Special surveillance cameras that immediately spot anything untoward and identify anything out of the ordinary could provide a solution. Researchers from the Fraunhofer Institute for Applied Information Technology FIT in Sankt Augustin have now developed such a device as part of the EU project »SEARISE – Smart Eyes: Attending and Recognizing Instances of Salient Events«. The automatic camera system is designed to replicate human-like capabilities in identifying and processing moving images.

The vigilante-style statement of dissent called Operation Payback is coming to an end. Loosely organized by anonymous supporters of Wikileaks, the aim of Operation Payback was to target companies and organizations that dropped support for Wikileaks - or even opposed the group's actions - by attacking their public-facing Web infrastructure. Using a software program called LOIC, which automates DDoS attacks (a type of Web-based attack that can take sites offline), the supporters targeted high-profile websites like Visa and MasterCard, taking them offline briefly during the first stages of what later became a full-on cyberwar. More recently, and with less success, the attackers went after PayPal and Amazon, too.

When will human-level AIs finally arrive? We don’t mean the narrow-AI software that already runs our trading systems, video games, battlebots and fraud detection systems. Those are great as far as they go, but when will we have really intelligent systems like C3PO, R2D2 and even beyond? When will we have Artificial General Intelligences (AGIs) we can talk to? Ones as smart as we are, or smarter? Well, as Yogi Berra said, “it’s tough to predict, especially about the future.” But what do experts working on human-level AI think? To find out, we surveyed a number of leading specialists at the Artificial General Intelligence conference (AGI-09) in Washington DC in March 2009. These are the experts most involved in working toward the advanced AIs we’re talking about. Of course, on matters like these, even expert judgments are highly uncertain and must be taken with multiple grains of salt — nevertheless, expert opinion is one of the best sources of guidance we have. Their predictions about AGI might not come true, but they have so much relevant expertise that we should give their predictions careful consideration.

The Care-O-bot® research initiative aims at making Care-O-bot® 3 available as high-tech research platform. The main objectives to reach this goal are to provide a common open source repository for the hardware platform provide simulation models of hardware components provide remote access to the Care-O-bot® 3 hardware platform

There's an interesting video on YouTube from Binary Millenium showing how to make a 3D model out of real objects using Microsoft's Photosynth. It's an interesting idea that while unofficial, may be a big time saver and a lot of fun for many of you. This will work best if you use a Photosynth that not only has a high rate of 'synthiness' but also tons of points in the point cloud. A point in the point cloud means that a specific feature in two more photos has been identified allowing for Photosynth to some degree determine where in space that point exists. While a good Photosynth might have 100% synthiness, meaning all the pictures were connected, it doesn't necissarily mean there will be lots of points in the point cloud.

Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player. From basic charts and graphs to complex interactive graphics, the toolkit supports data management, visual encoding, animation, and interaction techniques. Even better, flare features a modular design that lets developers create customized visualization techniques without having to reinvent the wheel. View the demos and sample applications to see a few of the visualizations that flare makes it easy to build. To begin making your own visualizations, download flare and work through the tutorial. You should also get familiar with the API documentation. Need more help? Visit the help forum (you'll need a SourceForge login to post). Flare is open-source software released under a BSD license, meaning it can be freely deployed and modified (and even sold for $$). Flare's design was adapted from its predecessor prefuse, a visualization toolkit for Java

DSP core licensor Ceva Inc. is due to unveil a software-programmable multimedia video processor architecture at the Mobile World Congress in Barcelona next week. The multicore architecture, called MM3000, which comes complete with C compilers, power management provision and an RTOS/multithreading scheduler is intended to be able to process any and all video codecs up to the highest resolutions and frame rates currently available as well as future codecs for things like 3-D video.