overheardinpdx writes "I'm sad to report that longtime HPC technology pundit Roland Piquepaille (rpiquepa) died this past Tuesday. Many of you may know of him through his blog, his submissions to Slashdot, and his many years of software visualization work at SGI and Cray Research. I worked with Roland 20 years ago at Cray, where we both wrote tech stories for the company newsletter. With his focus on how new technologies modify our way of life, Roland was really doing Slashdot-type reporting before there was a World Wide Web. Rest in peace, Roland. You will be missed." The notice of Roland's passing was posted on the Cray Research alumni group on Linked-In by Matthias Fouquet-Lapar. There will be a ceremony on Monday Jan. 12, at 10:30 am Paris time, at Père Lachaise.

mallumax writes "David Pogue of New York Times has reviewed the Pico, which is a pocket projector from Optoma. The review is quite entertaining (Pogue projects the images on to a plane's ceiling, leaving passengers baffled) and detailed. The highlights are: It is a pocket-sized projector which runs on batteries and can project images and videos from a variety of sources like iPhone, iPod and DVD players with a 480x320px resolution, with a maximum screen size of 65 inches at 8.5 feet. It uses a non-replaceable 10,000 hour LED lamp and a DLP chip from Texas Instruments. The battery lasts for 90 minutes and can be recharged through USB or with its own power cord. The device weighs 115g and comes with an inbuilt speaker which is practically useless. If you want one, it will set you back by $430."

Ponca City, We Love You writes "Toddlers' brains can effortlessly do what the most powerful computers with the most sophisticated software cannot: learn language simply by hearing it used. A ground-breaking new theory postulates that young children are able to learn large groups of words rapidly by data-mining. Researchers Linda Smith and Chen Yu attempted to teach 28 children, 12 to 14 months old, six words by showing them two objects at a time on a computer monitor while two pre-recorded words were read to them. No information was given regarding which word went with which image. After viewing various combinations of words and images, however, the children were surprisingly successful at figuring out which word went with which picture. Yu and Smith say it's possible that the more words tots hear, and the more information available for any individual word, the better their brains can begin simultaneously ruling out and putting together word-object pairings, thus learning what's what. Yu says if they can identify key factors involved in this form of learning and how it can be manipulated, they might be able to make learning languages easier for children and adults. Understanding children's learning mechanisms could also further machine learning."

coondoggie sends us to a Network World story, as is his wont, about network problems at Duke University in Durham, N.C. that seem to be related to the iPhone. "The Wi-Fi connection on Apple's recently released iPhone seems to be the source of a big headache for network administrators at Duke. The built-in 802.11b/g adapters on several iPhones periodically flood sections of the school's wireless LAN with MAC address requests, temporarily knocking out anywhere from a dozen to 30 wireless access points at a time. Campus network staff are talking with Cisco, the main WLAN provider, and have opened a help-desk ticket with Apple. But so far, the precise cause of the problem remains unknown. 'Because of the time of year for us, it's not a severe problem,' says Kevin Miller, assistant director, communications infrastructure, with Duke's Office of Information Technology. 'But from late August through May, our wireless net is critical. My concern is how many students will be coming back in August with iPhones? It's a pretty big annoyance, right now, with 20-30 access points signaling they're down, and then coming back up a few minutes later. But in late August, this would be devastating.'" So far, the communication with Apple has been "one-way."

Roland Piquepaille writes "In the U.S., stroke is a major cause of long-term disability which affects 700,000 people annually. Most of them are over 65 years old and some have difficulties grasping objects after their stroke. This is why Californian researchers have developed a robotic therapy which helps restore hand use after stroke. The Hand-Wrist Assisting Robotic Device (HoWARD) has successfully been tested on seven women and six men who had suffered a stroke at least three months before the study. These results, while encouraging, need to be balanced. There must be enough residual motor power in the arm and hand of stroke patients to initiate some movement for this robotic therapy to work."