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Listen up, Facebook and Twitter groupies: how easily can social pressure affect your memory? Very easily, researchers at the Weizmann Institute and University College London have proved, and they think they even know what part of the brain is responsible. The participants conformed to the group on these "planted" responses, giving incorrect answers nearly 70% of the time. Volunteers watched a documentary film in small groups. Three days later, they returned to the lab individually to take a memory test, answering questions about the film. They were also asked how confident they were in their answers. They were later invited back to the lab to retake the test. This time, the subjects were also given supposed answers of the others in their film-viewing group (along with social-media-style photos) while being scanned in a functional MRI (fMRI) that revealed their brain activity. Is most of what you know false? Planted among these were false answers to questions the volunteers had previously answered correctly and confidently. The participants conformed to the group on these "planted" responses, giving incorrect answers nearly 70% of the time. To determine if their memory of the film had actually undergone a change, the researchers invited the subjects back to the lab later to take the memory test once again, telling them that the answers they had previously been fed were not those of their fellow film watchers, but random computer generations. Some of the responses reverted back to the original, correct ones, but get this: despite finding out the scientists messed with their minds, close to half of their responses remained erroneous, implying that the subjects were relying on false memories implanted in the earlier session. An analysis of the fMRI data showed a strong co-activation and connectivity between two brain areas: the hippocampus and the amygdala. Social reinforcement could act on the amygdala to persuade our brains to replace a strong memory wi

ICSI invites applications for a postdoctoral fellow position in the area of multimedia content analysis for a project on concept detection in a large-scale database of consumer-produced videos using acoustic and multimedia methods.

The WorldWide Telescope (WWT) is a visualization environment that enables your computer to function as a virtual telescope-bringing together imagery from the world's best ground- and space-based telescopes for the exploration of the universe. WWT blends terabytes of images, information, and stories from multiple sources into a seamless, immersive, rich media experience. Explorers of all ages will feel empowered to explore and understand the cosmos using WWT's simple and powerful user interface.

"Scene recognition is one of the hallmark tasks of computer vision, allowing defining a context for object recognition. Here we introduce a new scene-centric database called Places, with 205 scene categories and 2.5 millions of images with a category label. Using convolutional neural network (CNN), we learn deep scene features for scene recognition tasks, and establish new state-of-the-art performances on scene-centric benchmarks. Here we provide the Places Database and the trained CNNs for academic research and education purposes."

"In many places internet can be slow, unreliable or even censored. Kiwix is an offline solution that allows you to access educational content like Wikipedia, the Wiktionary, TED talks and many others on any computer or smartphone - without the need for a live internet connection."

e-LICO: An e-Laboratory for Interdisciplinary Collaborative Research in Data Mining and Data-Intensive Science

FICC 2018 aims to provide a forum for researchers from both academia and industry to share their latest research contributions and exchange knowledge with the common goal of shaping the future of Information and Communication. Join us, April 5-6, to explore discovery, progress, and achievements related to Communication, Data Science, Computing and Internet of Things. ficc@saiconference.com saiconference.com/ficc https://groups.diigo.com/group/communication-conference https://youtu.be/7Qw-ovNd7A8

A new new brain imaging system that can identify a subject's simple thoughts may lead to clearer diagnoses for Alzheimer's disease or schizophrenia - as well as possibly paving the way for reading people's minds. Michael Greicius at Stanford University in California and colleagues used functional magnetic resonance imaging (fMRI) to identify patterns of brain activity associated with different mental states. He asked 14 volunteers to do one of four tasks: sing songs silently to themselves; recall the events of the day; count backwards in threes; or simply relax. Participants were given a 10-minute period during which they had to do this. For the rest of that time they were free to think about whatever they liked. The participants' brains were scanned for the entire 10 minutes, and the patterns of connectivity associated with each task were teased out by computer algorithms that compared scans from several volunteers doing the same task. This differs from previous experiments, in which the subjects were required to perform mental activities at specific times and the scans were then compared with brain activity when they were at rest. Greicius reasons his method encourages "natural" brain activity more like that which occurs in normal thought.

"The human brain is capable of 1016 processes per second, which makes it far more powerful than any computer currently in existence. But that doesn't mean our brains don't have major limitations. The lowly calculator can do math thousands of times better than we can, and our memories are often less than useless - plus, we're subject to cognitive biases, those annoying glitches in our thinking that cause us to make questionable decisions and reach erroneous conclusions. Here are a dozen of the most common and pernicious cognitive biases that you need to know about"

"The Wekinator allows users to build new interactive systems by demonstrating human actions and computer responses, instead of writing programming code."

"The Human Brain Project aims to put in place a cutting-edge research infrastructure that will allow scientific and industrial researchers to advance our knowledge in the fields of neuroscience, computing, and brain-related medicine"

The field of artificial intelligence (AI) has experienced remarkable growth and development in recent years, pushing the boundaries of what was once thought possible. In this article, we'll explore the current state of AI evolution and where this fascinating field is heading in the future. We'll delve into various aspects of AI development, including machine learning, natural language processing, robotics, and AI ethics, as well as the role of quantum computing in AI's future.

AI Evolution: Unraveling the Future of Artificial Intelligence

The Global Network Navigator (GNN), an Internet-based Information Center, is a production of O'Reilly & Associates, Inc. and an application of the World Wide Web.

"A team of scientists at Oxford University have printed - yes, printed - what could be the predecessors to usable synthetic human tissue. The researchers released a paper called A Tissue-Like Material, announcing that they created their own version of a 3D printer, saying the current ones on the market couldn't print what they were after, according to PhsyOrg. And what were they after? A protein sack of water that can mold itself into different shapes and perform similar functions to human cells. After developing the printer, the team was able to print out a series of droplets that formed a network of human-like cells that could act like nerves and send electrical signals across the network."

The tutorialspoint is an absolutely FREE website which has been created to provide quality online education to the people who are enthusiastic to study different technical and non-technical subjects in "Simply Easy Learning" way....

"My link was shared by Bora Zivkovic, whose network is immense. And in turn, the link was shared by Twitter users in Greece, Germany, Belgium and throughout the United States. In the end, the blogpost wound up with 109 readers on January 22nd - with about 50 via Twitter, 26 via Facebook, and others via LinkedIn and elsewhere. When each person shared the link with her or his network, the momentum is carried forward, pushing out to new networks and new degrees of separation. Social sharing is a bit like the emails you would get forwarded by your relatives (you know, those emails). The deeper you scroll down the thread, the less sender names you recognize. But with Twitter, and using analytics like WordPress or Google, you can actually trace how a little link travels through different social networks, and eventually back to your website. Also, because many people embed a small bio or website link in their Twitter profile, I can quickly see who has retweeted and read my link. I can read their tweets to get an idea of their profession and passions,"