Feb 09, 2016 09:27 AM EST
A team of Massachusetts Institute of Technology (MIT) researchers has introduced a new computer chip at the International Solid State Circuits Conference (ISSCC) on Thursday. The chip, dubbed as 'Eyeriss', has been optimized for deep learning and to be embedded in smart phones. Eyeriss will allow mobile devices to perform natural language processing and facial recognition without any internet connection.
The technology involved, will enable smart phones, wearable or other IoT (Internet of Things) devices to go through deep learning processes. The Eyeriss chip promises neural networks in very low power devices. It consumes 10 times lesser power compared to the graphics processors of the present day's smart phones though containing 168 cores, according to a report published in Engadget.
Data collected by the smart phones, is currently uploaded to the internet for processing by power servers. After completion of processing, the data is then sent back to the device. The complex procedure opens up an array of issues, from latency and network congestion to security and power consumption, reports eWeekwhile narrating the existing technology.
Eyeriss avoids data swapping through quite a tricky manner. Each of the neuron like core has own memory and capable of compressing data. Nearby cores may communicate with each other and don't require to communicate with central source. Furthermore, a special delegation circuit provides cores as much work as they can handle without fetching the data back, reports The Verge.
The possibilities enabled by running neural networks locally-making decisions regarding the raw data on the devices and sending only their conclusions to the Internet-are broad. Local data processing also offers greater security and privacy and reduces transmission latencies. The Eyeriss devices run the data locally through the algorithms for analyzing instead of sending via internet.
In other development, Qualcomm has just unveiled Snapdragon 820A and 820Am processors that allow cars to detect multiple lane markings and understand traffic signals with deep learning. Nvidia's Tegra processor may also be used for autonomous driving. Moreover, Google and Movidius' joint ventured chip may recognize faces on phones through using AI technology.
MIT hasn't revealed any information on probable release of devices using Eyeriss chips. An Nvidia's senior researcher has helped in developing the chip, which is believed to be a reality very soon.
Tech giants are investing huge to develop chip capable of deep learning. Presently IoT devices send data to the central server for processing through and then retrieve the processed data to devices. This phenomenon poses security risk and requires huge power consumption. MIT research team has recently introduced a chip, naming Eyeriss that may process data locally and open door for bringing IoT to reach of mankind.
In today's digital world, more and more people are investing in cryptocurrencies. These digital tokens have exploded into popularity over the past few years, and have grown to the point that there are now nearly over 6,000 of them, according to Statista.
Following the pandemic, natural calamities, and major employment shifts, a startling new study on the online news site News Nation shows that 1 in 4 Americans don't have an emergency fund.
Generational wealth is a facet of wealth management that is often misunderstood. Labeled trust fund babies, rich kids, and lucky breaks, those who receive an inheritance from families are rare.
Social media has successfully made it to the mainstream consciousness of over half the global population. DataReportal's latest study shows that over 4.33 billion people worldwide are using some form of social networking site this year. That's why it's no wonder many tech companies are interested in investing or forming the next Facebook, Twitter, or YouTube to capture the hearts and minds of the general population.
Ease of access, freedom to choose in which to invest the money and lines of credit designed according to the needs of consumers, are some of the characteristics that have made consumer credit one of the most important financing products in the world’s market.
While researchers have suggested that individuals who base their self-worth on their financial success often feel lonely in everyday life, a newly published study by the University at Buffalo and Harvard Business School has taken initial steps to better understand why this link exists.
The younger generations are willing to put their money where their mouth is when it comes to sustainable living.
An international research team led by NUST MISIS has developed a new iron-cobalt-nickel nanocomposite with tunable magnetic properties. The nanocomposite could be used to protect money and securities from counterfeiting. The study was published in Nanomaterials.
Bank credit officers are more likely to approve loan applications earlier and later in the day, while 'decision fatigue' around midday is associated with defaulting to the safer option of saying no.
After graduating or leaving college, many students face a difficult choice: Try to pay off their student loans as fast as possible to save on interest, or enroll in an income-based repayment plan, which offers affordable payments based on their income and forgives any balance remaining after 20 or 25 years.