Calling All Rangers! Your Journey Awaits You in the Wasteland 2: Director's Cut Launch Trailer
The definitive version of Wasteland 2 has arrived at last, with Wasteland 2: Director's Cut now available to download on Steam. It should also be available on GOG, PlayStation 4, and Xbox One when those respective stores update in the Americas (Europe is October 16). Wasteland 2: Director's Cut incorporates a whole host of new features, from new voiceovers to improved/rebalanced gameplay, a Perks system to take advantage of when leveling up, new Quirks to add a positive and negative gameplay element to each character's personality, and plenty more. The graphics engine has been overhauled to Unity 5, so that means the game will look vastly better for anyone who played it before, and gives it plenty of new enhancements, such as improved character models, revamped lighting, and new environment art to really stand out. To highlight some of this, inXile has released the Wasteland 2: Director's Cut launch trailer, giving you a fantastic idea of what to expect when you load up the game.
Wasteland 2: Director's Cut is a free download for all current PC/Mac/Linux owners, and a $40 purchase for everybody else on regardless of computer or console.
Source: Wasteland 2 Website
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Teaching AI with Partial Credit
According to science fiction artificial intelligence will one day lead to machines that can at least emulate emotions, if not actually experience them. We are not there yet, and likely will not be for a long time as we are still trying to teach systems how to identify various objects. Researchers at MIT have decided to try a new approach for training machine learning systems by awarding partial credit for nearly right identifications.
One use of machine learning systems is for scanning images and identifying objects and actions in the scene. Traditionally if a systems gets it wrong, it is told it is and then moves on. What the MIT researchers are doing is awarding partial credit to the system if its wrong answer was close enough to the right one. If instead of tagging an image with 'sunshine' it tagged with 'summer,' the system would be given some credit because sunshine and summer are likely to co-occur. Traditional methods would score the system as wrong as if it had tagged the image with 'rhinoceros' in place of 'sunshine.' The images and human-sourced tags were gathered from Flickr.
To make it possible to award an appropriate score, the researchers turned to the Wasserstein distance, which compares probability distributions and thus provides a metric of how correct the machine learning system was. Beyond helping the AI learn, this approach could also make an AI more useful for people, as sometimes the terms we use to search for something are not exactly correct, but still similar.
Source: MIT
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Dell Agrees to Purchase EMC For $67 Billion
Dell has announced that it will purchase storage specialist EMC in conjunction with Silver Lake, MSD Partners, and Temasek Holdings for a total of $67 billion. The deal has a total value of $33.15 per share, a 28% boost from the October 7 closing stock price, with a mix of cash and stock being used as compensation. EMC has a 21% share of the storage market, roughly double the share for Dell, and the acquisition should augment the Dell server business and return value to EMC shareholders. The deal will close sometime next year between May and October.
Source: Ars Technica
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Phanteks Announces New Fans and Thermal Paste
Phanteks has announced two new series of case fans with the MP Series High Static Pressure Fans and SP Series Premium Fans. The MP Series uses "high static air pressure allowing for a direct and focused airflow making them ideal for the densely packed fins of a radiator." The fans use seven blades to generate "silent and controlled" airflow. The SP Series have nine blades and uses UFB bearings to create "a longer lifespan" while adding stability. The fans are available in sizes of 120mm, 140mm, and 200mm.
The PH-NDC thermal compound is made of "NANO diamond-like particles of hybrid compound, design for using in environment with low thermal resistance." The design of the compound provides for better heat dissipation when compressed and requires no burn-in time to reach peak cooling performance.
Source: Press Release
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Robotic Finger Mimics Real One in Appearance and Function
Many examples of science fiction tell us that robots will look like humans, even to the point that they can be confused with actual people. That is not at all the case with today's robots, but work is being done to narrow the gap, in part to recreate the functionality of our bodies. Now researchers at Florida Atlantic University have created a robotic finger that both looks and operates like a real finger.
This new finger was built using shape memory alloy (SMA), a CAD model of a real finger, a 3D printer, and a method to train the SMAs. With the 3D printer, the researchers built the inner and outer molds of a finger to hold the SMA actuators. Shape memory alloys can be trained to return to a specific shape when heated. In this case one actuator was trained to extend straight out when heated, and the other trained to curve when heated. An electric current passing through the actuators provides the heat necessary for manipulating the SMA plates, with the power source at the base of the finger, keeping it all rather light, while still being strong and dexterous.
One day we may see this technology brought to prosthetic arms, but for now the target is for undersea operations. For the actuators to flex quickly, the finger must be able to cool rapidly, which is easier to achieve underwater than in the air.
Source: Florida Atlantic University
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