Computer Science/Telecom

Results 141 - 160 of 814.
« Previous 1 ... 4 5 6 7 8 9 10 11 12 ... 41 Next »

Sport - Computer Science / Telecom - 26.02.2019
How do professional football players perform under immense pressure?
Professional football players need to keep a cool head during a match, but some are better at this than others. Cristiano Ronaldo seems to be immune to pressure, while Neymar's performance crumbles under it. It's one of the remarkable findings of a study conducted by KU Leuven and data intelligence company SciSports.

Computer Science / Telecom - 26.02.2019
Most laptops vulnerable to attack via peripheral devices, say researchers
Most laptops vulnerable to attack via peripheral devices, say researchers
Many modern laptops and an increasing number of desktop computers are much more vulnerable to hacking through common plug-in devices than previously thought, according to new research. It is essential that users install security updates to be protected against the specific vulnerabilities we have reported Theodore Markettos The research, to be presented today (26 February) at the Network and Distributed Systems Security Symposium in San Diego, shows that attackers can compromise an unattended machine in a matter of seconds through devices such as chargers and docking stations.

Life Sciences - Computer Science / Telecom - 25.02.2019
Species evolve ways to back up life’s machinery
Understanding the interactome - the network of all protein interactions for a species - could shed light on how organisms adapt. (Image credit: Shuoshu / iStock) A new analysis of biological data reveals that every species from bacteria to primates has developed ways to bypass breakdowns in the networks of proteins vital to sustaining life.

Health - Computer Science / Telecom - 20.02.2019
Researchers Develop Method To ID Diseases with Less Data
As artificial intelligence systems learn to better recognize and classify images, they are becoming highly reliable at diagnosing diseases, such as skin cancer, from medical images. But as good as they are at detecting patterns, AI won't be replacing your doctor any time soon. Even when used as a tool, image recognition systems still require an expert to label the data, and a lot of data at that: it needs images of both healthy patients and sick patients.

Computer Science / Telecom - 20.02.2019
CEA-Leti and Stanford Target Edge-Ai Apps with Breakthrough NVM Memory Cell
Paper at ISSCC 2019 Presents Proof-of-Concept Multi-Bit Chip that Overcomes NVM's Read/Write, Latency and Integration Challenges SAN FRANCISCO - Feb. 20, 2019 - Researchers at CEA-Leti and Stanford University have developed the world's first circuit integrating multiple-bit non-volatile memory (NVM) technology called Resistive RAM (RRAM) with silicon computing units, as well as new memory resiliency features that provide 2.3-times the capacity of existing RRAM.

Computer Science / Telecom - 18.02.2019
Robots track moving objects with unprecedented precision
Robots track moving objects with unprecedented precision
System uses RFID tags to home in on targets; could benefit robotic manufacturing, collaborative drones, and other applications. A novel system developed at MIT uses RFID tags to help robots home in on moving objects with unprecedented speed and accuracy. The system could enable greater collaboration and precision by robots working on packaging and assembly, and by swarms of drones carrying out search-and-rescue missions.

Computer Science / Telecom - 12.02.2019
Artificial Intelligence could help to foil online dating scams
Dating apps and websites could soon use computing algorithms that 'think' like humans to pinpoint fake profiles designed to con victims out of thousands of pounds. Researchers from across the UK, including experts from the University of Bristol Cyber Security Group , have developed new algorithms that can understand what fake dating profiles look like and then apply this knowledge when they scan profiles submitted to online dating services.

Physics - Computer Science / Telecom - 08.02.2019
Machine learning reveals hidden turtle pattern in quantum fireworks
Two years ago, physicists at the University of Chicago were greeted with fireworks -atoms shooting out in jets-when they discovered a new form of quantum behavior. But the patterns underlying the bright jets were difficult to pick out from the noise. Instead, the scientists took an approach new to the field: machine learning.

Computer Science / Telecom - 06.02.2019
Peering under the hood of fake-news detectors
Peering under the hood of fake-news detectors
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing. New work from MIT researchers peers under the hood of an automated fake-news detection system, revealing how machine-learning models catch subtle but consistent differences in the language of factual and false stories.

Innovation - Computer Science / Telecom - 04.02.2019
Scaling Up Search for Analogies Could Be Key to Innovation
AI, crowdsourcing can identify insights that lead to breakthroughs Investment in research is at an all-time high, yet the rate of scientific breakthroughs isn't setting any records. To resolve this quandary, scientists are turning to artificial intelligence and crowdsourcing for help in identifying a key inspiration for innovation - the perfect analogy.

Physics - Computer Science / Telecom - 01.02.2019
Faster than allowed by quantum computing?
Faster than allowed by quantum computing?
Researchers determine the performance of multi-dimensional bits Quantum computers are more powerful than classical computers since they work with coherent "quantum bits" instead of ordinary zeroes and ones. But what if the laws of nature were different from what we think today - could there be even more efficient "science fiction computers"- Researchers from the Austrian Academy of Sciences and the University of Vienna have now shown that this is not possible - as long as those machines satisfy the same construction principles as ordinary circuits and their quantum counterparts.

Astronomy / Space Science - Computer Science / Telecom - 01.02.2019
Stanford spurs AI navigation for space rendezvous software
A Stanford engineer is helping to develop an AI-based navigation system that would enable the space-borne equivalent of tow trucks to find and rescue satellites from so-called graveyard orbits. (Image credit: Pixabay) Stanford researchers are developing an AI-powered navigation system to direct spaceborne 'tow trucks' designed to restart or remove derelict satellites circling aimlessly in graveyard orbits.

Life Sciences - Computer Science / Telecom - 01.02.2019
Putting neural networks under the microscope
Putting neural networks under the microscope
Researchers pinpoint the "neurons" in machine-learning systems that capture specific linguistic features during translation tasks. Researchers from MIT and the Qatar Computing Research Institute (QCRI) are putting the machine-learning systems known as neural networks under the microscope. In a study that sheds light on how these systems manage to translate text from one language to another, the researchers developed a method that pinpoints individual nodes, or "neurons," in the networks that capture specific linguistic features.

Computer Science / Telecom - 30.01.2019
MIT robot combines vision and touch to learn the game of Jenga
MIT robot combines vision and touch to learn the game of Jenga
Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line. It gently pokes at a tower of blocks, looking for the best block to extract without toppling the tower, in a solitary, slow-moving, yet surprisingly agile game of Jenga. The robot, developed by MIT engineers, is equipped with a soft-pronged gripper, a force-sensing wrist cuff, and an external camera, all of which it uses to see and feel the tower and its individual blocks.

Computer Science / Telecom - Astronomy / Space Science - 30.01.2019
Engineers program marine robots to take calculated risks
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments. We know far less about the Earth's oceans than we do about the surface of the moon or Mars. The sea floor is carved with expansive canyons, towering seamounts, deep trenches, and sheer cliffs, most of which are considered too dangerous or inaccessible for autonomous underwater vehicles (AUV) to navigate.

Computer Science / Telecom - Health - 29.01.2019
Could AI improve patient care in the NHS?
The adoption of artificial intelligence in the diagnosis and prognosis of disease could help to extend people's lives whilst providing significant savings for the NHS. This is according to researchers from Cardiff University who have provided compelling evidence showing the benefits that state-of-the-art techniques can bring to risk assessments in patients.

Computer Science / Telecom - 28.01.2019
Tackling the fake news problem
Tackling the fake news problem
Meet the researchers who are trying to understand and solve fake news problems in the digital age. Fake news is a human activity, so humans should be involved Dr Julio Amador The term ‘fake news' regularly hits the headlines these days. Whether it is to do with political events or information on the various social platforms, it seems like it is getting harder and harder to know who to trust to be a reliable source of information.

Health - Computer Science / Telecom - 25.01.2019
Filling the gaps in a patient's medical data
Filling the gaps in a patient’s medical data
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information. MIT researchers have developed a model that can assimilate multiple types of a patient's health data to help doctors make decisions with incomplete information. The field of "predictive analytics" holds promise for many health care applications.

Computer Science / Telecom - 24.01.2019
Identifying artificial intelligence
Identifying artificial intelligence "blind spots"
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world. A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have "learned" from training examples that don't match what's actually happening in the real world.

Computer Science / Telecom - Physics - 23.01.2019
CMU’s DeltaFS Team Aims To Create Smarter Ways To Organize, Store Supercomputer Data
Trinity occupies a footprint the size of an entire floor of most office buildings, but its silently toiling workers are not flesh and blood. Trinity is a supercomputer at Los Alamos National Laboratory in New Mexico, made up of row upon row of CPUs stacked from the white-tiled floor to the fluorescent ceiling.
« Previous 1 ... 4 5 6 7 8 9 10 11 12 ... 41 Next »

This site uses cookies and analysis tools to improve the usability of the site. More information. |