For decades, mathematicians have been inching forward on a problem about which sets contain evenly spaced patterns of three numbers. Last month, two computer scientists blew past all of those results.
Gordon E. Moore who died last week had a vision that silicon chips and shrinking transistors would revolutionize computing. Moore’s Law inspired the computer revolution.
Moore died at the age of 94 but Moore’s Law drove the computing revolution from the mid-1960s. Transistor miniaturization was the key.
Neurosity’s headset uses electroencephalogram technology, or EEG, to measure brain activity by placing small metal electrodes on a person’s scalp. If the electrodes detect decreased electrical activity in the brain, the Crown plays music and sounds, or pulses vibrations, hoping those actions will help the user focus.
But some developers, it seems, have taken Neurosity’s tech a step further, turning the Crown into a more traditional brain computer interface that can allow users to control a computer using only their mind.
One owner of the gadget claimed they’ve used it to drive a Tesla, moving the electric car short distances by doing some mental math, which signals to the device that the person wearing it is exerting a lot of cognitive effort.
Speaker: George Tulevski, materials science engineer at IBM Research.
The exceptional electronic properties of carbon nanotubes, coupled with their small size, makes them ideal materials for future nanoelectronic devices. The integration of these materials into advanced microprocessors requires a radical shift in fabrication from conventional top-down process to bottom-up assembly where advances in sorting and directed assembly are needed. This presentation will briefly describe the challenges to future transistor scaling, highlight the advantages of employing carbon nanotubes for digital logic and describe the recent progress in this area.
In a world first, a team of University of Wisconsin-Madison materials engineers have created carbon nanotube transistors that outperform state-of-the-art silicon transistors.
A big milestone for nanotechnology, this breakthrough could enable longer battery life, faster wireless communication and faster processing speeds for devices like smartphones and laptops.
Continue reading “Carbon nanotube transistors outperform silicon for first time ever” »
Hi guys! Over the last 2 months, I created a programmable 8-bit computer with just redstone. This was an insane project, and I’m super happy with how it turned out!
0:00 Intro.
0:27 Computer Overview.
1:28 Introduction to Registers and the ALU
3:37 Building the Registers.
5:00 Building the ALU
5:58 Introduction to Instruction Memory and the Program Counter.
7:44 What about loops?
9:28 Building the Program Counter.
9:57 Building the Instruction Memory.
10:55 Countdown Program in Minecraft.
11:50 One last problem.
13:01 Building the Data Memory.
14:18 Showcase.
Continue reading “I Made a Working Computer with just Redstone!” »
Researchers from Colorado State University and the Colorado School of Mines have thought up a new computational imaging strategy that exploits the best of both the quantum and classical worlds. They developed an efficient and robust algorithm that fuses quantum and classical information for high-quality imaging. The results of their research were published Dec. 21 in Intelligent Computing.
Recently, the quantum properties of light have been exploited to enable super resolution microscopy. While quantum information brings new possibilities, it has its own set of limitations.
The researchers’ approach is based on classical and quantum correlation functions obtained from photon counts, which are collected from quantum emitters illuminated by spatiotemporally structured illumination. Photon counts are processed and converted into signals of increasing order, which contain increasing spatial frequency information. The higher spatial resolution information, however, suffers from a reduced signal-to-noise ratio at increasingly larger correlation orders.
It’s past time the world moves away from text-based passwords and verifications for mobile phones and starts embracing more secure image-based solutions, say computer scientists from the University of Surrey.
In a new study, Surrey scientists demonstrate an image-based authentication system called TIM (Transparent Image Moving) for mobile phones to help reduce the risk of shoulder surfing attacks. TIM requires users to select and move predefined images to a designated position for passing authentication checks, similar to those required for online shopping.
The proof-of-concept study found that 85% of TIM users believed it could help them to prevent password guessing and shoulder surfing attacks. The study also found that 71% of participants think TIM is a more usable image-based solution than others on the market. The research has been published in the Journal of Information Security and Applications.
University of Texas at Dallas researchers have developed a new approach that addresses challenges in the field of quantum computing and has the potential to revolutionize computing, communications and electronic security.
To make solid-state qubits, the basic information unit for quantum computers, a defect must be inserted into the solid material to control the spin states of electrons. Creating and positioning the defect, however, especially in the most commonly used solid material—synthetic diamonds —poses a major challenge.
UT Dallas researchers found that making qubits from thin, two-dimensional sheets of crystals called transition metal dichalcogenides (TMDs) instead of diamond can solve this problem. Led by Dr. Kyeongjae Cho, professor of materials science and engineering in the Erik Jonsson School of Engineering and Computer Science, the researchers published their findings online Dec. 6 in Nature Communications.
When people suffer spinal cord injuries and lose mobility in their limbs, it’s a neural signal processing problem. The brain can still send clear electrical impulses and the limbs can still receive them, but the signal gets lost in the damaged spinal cord.
The Center for Sensorimotor Neural Engineering (CSNE)—a collaboration of San Diego State University with the University of Washington (UW) and the Massachusetts Institute of Technology (MIT)—is working on an implantable brain chip that can record neural electrical signals and transmit them to receivers in the limb, bypassing the damage and restoring movement. Recently, these researchers described in a study published in the journal Nature Scientific Reports a critical improvement to the technology that could make it more durable, last longer in the body and transmit clearer, stronger signals.
The technology, known as a brain-computer interface, records and transmits signals through electrodes, which are tiny pieces of material that read signals from brain chemicals known as neurotransmitters. By recording brain signals at the moment a person intends to make some movement, the interface learns the relevant electrical signal pattern and can transmit that pattern to the limb’s nerves, or even to a prosthetic limb, restoring mobility and motor function.
