Artificial Intelligence

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AI could be a firefighter's new best friend

AI could be a firefighter's new best friend
When entering a burning building, firefighters have only their wits and senses to rely on. New research, developed jointly by the Jet Propulsion Lab and the Department of Homeland Security, may change that with the introduction of Artificial Intelligence (AI) that could collect data on temperatures, gases and other danger signals and guide a team of first responders safely through the flames.
12th August 2016

New language can speed up computer simulations 200-fold

New language can speed up computer simulations 200-fold
Computer simulations of physical systems are common in science, engineering, and entertainment, but they use several different types of tools. If, say, you want to explore how a crack forms in an airplane wing, you need a very precise physical model of the crack’s immediate vicinity. But if you want to simulate the flexion of an airplane wing under different flight conditions, it’s more practical to use a simpler, higher-level description of the wing.
11th August 2016

Protecting privacy in genomic databases

Protecting privacy in genomic databases
  Genome-wide association studies, which try to find correlations between particular genetic variations and disease diagnoses, are a staple of modern medical research. But because they depend on databases that contain people’s medical histories, they carry privacy risks.
10th August 2016


Social robots can be programmed by everyone

Social robots can be programmed by everyone
The startup LuxAI was created following a project at the Interdisciplinary Centre for Security, Reliability and Trust of the University of Luxembourg, funded by the Luxembourg National Research Fund under its Proof of Concept scheme. The business model of LuxAI is developing and constructing so-called social robots. Such robots can be used, for example, in the educational or health system, where they would support trainers and therapists in their work.
20th July 2016

Ants inspire the advance of network communication

Ants inspire the advance of network communication
Ants, it turns out, are extremely good at estimating the concentration of other ants in their vicinity. This ability appears to play a role in several communal activities, particularly in the voting procedure whereby an ant colony selects a new nest. Biologists have long suspected that ants base their population-density estimates on the frequency with which they — literally — bump into other ants while randomly exploring their environments.
14th July 2016

How to stay anonymous online

How to stay anonymous online
  Anonymity networks protect people living under repressive regimes from surveillance of their Internet use. But the recent discovery of vulnerabilities in the most popular of these networks - Tor - has prompted computer scientists to try to come up with more secure anonymity schemes.
13th July 2016

2nd gen neural network software framework extends support for AI

The industry’s first software framework for embedded systems to automatically support networks generated by TensorFlow has been introduced by CEVA. The CDNN2 (CEVA Deep Neural Network), is a 2nd gen neural network software framework for machine learning.
27th June 2016

Google collaborates with researchers on AI safety

Google collaborates with researchers on AI safety
The Google Research Blog posted a message from Chris Olah of Google Research. He confirmed the publication of "a technical paper, Concrete Problems in AI Safety, a collaboration among scientists at Google, OpenAI, Stanford and Berkeley." This is great news for those who are alarmed over what limits may be over-stepped by AI systems in carrying out their actions, and whether we had better anticipate any event where an AI system does not behave according to a predesigned purpose engineered by humans.
23rd June 2016

Improved interfaces help machines and humans work together

Improved interfaces help machines and humans work together
  As machines become more intelligent, they become embedded in countless facets of life. In some ways, they can act almost as full-fledged members in human-machine teams. In such cases, as with any team, trust is a necessary ingredient for good performance. But the dynamics of trust between people and machines are not yet well-understood.
22nd June 2016

AI-powered systems to make diagnoses more accurate

AI-powered systems to make diagnoses more accurate
  A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed AI methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate.
22nd June 2016


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