Artificial intelligence has made big strides recently in understanding language, but it can still suffer from an alarming, and potentially dangerous, kind of algorithmic myopia.
Research shows how AI programs that parse and analyze text can be confused and deceived by carefully crafted phrases. A sentence that seems straightforward to you or me may have a strange ability to deceive an AI algorithm. Read More
Monthly Archives: February 2020
How a quantum computer could break 2048-bit RSA encryption in 8 hours
Many people worry that quantum computers will be able to crack certain codes used to send secure messages. The codes in question encrypt data using “trapdoor” mathematical functions that work easily in one direction but not in the other. That makes encrypting data easy but decoding it hugely difficult without the help of a special key.
These encryption systems have never been unbreakable. Instead, their security is based on the huge amount of time it would take for a classical computer to do the job. Modern encryption methods are specifically designed so that decoding them would take so long they are practically unbreakable. Read More
Artificial intelligence thinks it can detect if you’re telling the truth
The right combination of artificial intelligence and augmented reality could put and end to lies. That is the ambitious working hypothesis of several different teams of scientists, businesses, and institutions that have committed themselves to fighting deception by means of technology, so as to assure the safety of citizens around the world. The ethical debate resulting from these innovations is as complex as the mechanisms that must be applied to achieve this objective. Be that as it may, the first steps in this direction are being taken by means of devices that are as practical and affordable as smart phones and smart glasses. Read More
Google Teaches AI To Play The Game Of Chip Design
If it wasn’t bad enough that Moore’s Law improvements in the density and cost of transistors is slowing. At the same time, the cost of designing chips and of the factories that are used to etch them is also on the rise. Any savings on any of these fronts will be most welcome to keep IT innovation leaping ahead.
One of the promising frontiers of research right now in chip design is using machine learning techniques to actually help with some of the tasks in the design process. Read More
Moscow rolls out live facial recognition system with an app to alert police
Moscow is the latest major city to introduce live facial recognition cameras to its streets, with Mayor Sergei Sobyanin announcing that the technology is operating “on a mass scale” earlier this month, according to a report from Russian business paper Vedomosti.
It follows news earlier this week that London is integrating live facial recognition into daily police activities, with the Metropolitan Police deploying cameras in busy tourist and shopping areas to spot individuals “wanted for serious and violent offences.” Read More
Hand labeling is the past. The future is #NoLabel AI
Data labeling is so hot right now… but could this rapidly emerging market face disruption from a small team at Stanford and the Snorkel open source project, which enables highly efficient programmatic labeling that is 10 to 1,000x as efficient as hand labeling? Read More
Depth-Aware Video Frame Interpolation
Video frame interpolation aims to synthesize non-existent frames in-between the original frames. While significant advances have been made from the deep convolutional neural networks, the quality of interpolation is often reduced due to large object motion or occlusion. In this work, we propose to explicitly detect the occlusion by exploring the depth cue in frame interpolation. Specifically, we develop a depth-aware flow projection layer to synthesize intermediate flows that preferably sample closer objects than farther ones. In addition, we learn hierarchical features as the contextual information. The proposed model then warps the input frames, depth maps, and contextual features based on the optical flow and local interpolation kernels for synthesizing the output frame. Our model is compact, efficient, and fully differentiable to optimize all the components. We conduct extensive experiments to analyze the effect of the depth-aware flow projection layer and hierarchical contextual features. Quantitative and qualitative results demonstrate that the proposed model performs favorably against state-of-the-art frame interpolation methods on a wide variety of datasets. Read More
What Amazon’s Entrance Tells Us About The New Era Of Quantum Computing
This past December, Amazon announced that it was launching a new quantum computing service, called Braket, joining the ranks of tech giants like Google, Microsoft and IBM. However, it quickly became clear that Amazon was not creating its own technology, but offering that of other companies to its customers through the cloud.
The story gets even stranger when you consider that the purpose of the service is not to do anything of any immediate practical value, but to allow “scientists, researchers, and developers to begin experimenting” with quantum technology. The companies providing the hardware, D-Wave, IonQ, and Rigetti, are themselves fledgling companies.
So why would Amazon promote, with great fanfare, a technology it doesn’t own and that doesn’t really work to customers who can’t use it to solve any practical problems? The reason is that we are entering a new era of innovation in which it is no longer enough to simply move fast and break things. We need to do more than just adapt. We need to learn to prepare. Read More
Ushering in the third wave of AI
Today, artificial Intelligence (AI) helps you shop, provides suggestions on what music to listen to and what shows to watch, connects you with friends on social media and even drives your car.
As more companies focus their efforts on AI-based solutions, 2020 is shaping up to be a turning point as we begin to witness the third wave of AI — when AI systems not only not learn and reason as they encounter new tasks and situations, but have the ability to explain their decision making. Read More
Welcome to the Roaring 2020s: The Artificial Intelligence Decade
The survey report of MarketsandMarkets reveals that the evolution of AI will greatly impact the global GDP and make a great shift to $15.7 trillion by the year 2030.
That’s not all! Businesses are greatly affected by AI technology and get smart enough by the end of 2020.
You must be surprised, how and why AI has become a piece of cake for the various industries…let’s find the answer! Read More
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