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Google AI: Utilizing Artificial Intelligence to Provide Efficiency to the World

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Being the Silicon Valley hi-tech giant, Google has started implementing cutting-edge technologies like artificial intelligence to provide efficiency to the world. Google AI conducts research to advance the state-of-the-art through AI-based software. AI at Google develops artificial intelligence tools to ensure that the world can access the strong and smart functionalities of AI. The mission of Google AI is to organize the real-time information and make it accessible to the world for multiple different useful purposes for each and every sector. The implementation of artificial intelligence has offered Google Translate, Google Assistant, and many more with new ways of solving real-life complicated problems.


How do we know AI is ready to be in the wild? Maybe a critic is needed

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Mischief can happen when AI is let loose in the world, just like any technology. The examples of AI gone wrong are numerous, the most vivid in recent memory being the disastrously bad performance of Amazon's facial recognition technology, Rekognition, which had a propensity to erroneously match members of some ethnic groups with criminal mugshots to a disproportionate extent. Given the risk, how can society know if a technology has been adequately refined to a level where it is safe to deploy? "This is a really good question, and one we are actively working on," Sergey Levine, assistant professor with the University of California at Berkeley's department of electrical engineering and computer science, told ZDNet by email this week. Levine and colleagues have been working on an approach to machine learning where the decisions of a software program are subjected to a critique by another algorithm within the same program that acts adversarially.


Previously Unknown Cell Components Revealed by AI-Based Technique

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Most human diseases can be traced to malfunctioning parts of a cell -- a tumor is able to grow because a gene wasn't accurately translated into a particular protein or a metabolic disease arises because mitochondria aren't firing properly, for example. But to understand what parts of a cell can go wrong in a disease, scientists first need to have a complete list of parts. By combining microscopy, biochemistry techniques and artificial intelligence, researchers at University of California San Diego School of Medicine and collaborators have taken what they think may turn out to be a significant leap forward in the understanding of human cells. The technique, known as Multi-Scale Integrated Cell (MuSIC), is described November 24, 2021 in Nature. "If you imagine a cell, you probably picture the colorful diagram in your cell biology textbook, with mitochondria, endoplasmic reticulum and nucleus. But is that the whole story? Definitely not," said Trey Ideker, PhD, professor at UC San Diego School of Medicine and Moores Cancer Center.


Mirabilis Design System-Level AI Modeler reduces latency, power by 2-6X

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Mirabilis Design has now the release of VisualSim AI Processor Designer. VisualSim AI accelerates time-to-market of new AI technology, configures high-performance computing systems, eliminates under and over-design, and provides an interactive reference design for end-users to create new applications. VisualSim can be used for the architecture evaluation of AI processor hardware, partition AI algorithms on a System-on-Chip (SoC), test the AI/ML implementation, and measure power and performance of an AI processor in automotive, medical, and data center applications. The Intellectual Property available in the VisualSim AI brings together processor cores, neural networks, accelerators, GPU, and DSP. At the system level, VisualSim AI can be integrated with a network model and FPGA boards for full system verification. “The best processor configuration depends on the application, price point, and the expected performance. Trying to predict the feasibility before building the first prototype requires modeling IP, which is never readily available. The intense competition in the marketplace makes the delay in detecting performance limitation, a major detriment to a successful new product introduction”, says Deepak Shankar, Vice President – Technology, Mirabilis Design Inc. “The complex model requires configurable IPs and an integrated simulation environment.” The AI Designer enables an architect to rapidly construct a graphical model using parameterized IP and integrating around an interconnect such as a Network-on-Chip, Quantum Nodes, or in-Memory elements. The user can accurately simulate AI workloads and real-life interface traffic. The model can vary task allocation between cores, neural networks, and accelerators; size the system parameters; create an equilibrium between response time and power consumption, and select the scheduler and buffer strategy. The combination of the large model capacity, fast model construction, an extremely fast simulator, and a programmable analytics engine, enables users to rapidly arrive at the most suitable architecture. Users can run software on the VisualSim AI architecture to measure response times, power, network throughput, cache hit-ratio, and memory bandwidth. VisualSim AI enables companies to optimize and validate the SoC system specification, and system companies to select the right SoC for the target application. A number of beta customers have utilized this platform to design AI SoC for the data center and automotive applications. Other applications that can use this platform are autonomous driving, radars’ processing, defense systems, flight avionics, medical instruments, high-performance computing, and infotainment systems. Availability VisualSim AI designers have tested the accuracy of the IP blocks for task latency and power consumption across multiple projects. The platform works on VisualSim version 2140b. OS supported includes Windows, Linux, and Mac OS. To learn more, register for a private session in Booth 2441 at Design Automation Conference 2021 in San Francisco by registering at https://calendly.com/mirabilisdesign/dac or contact Mirabilis Design at info@mirabilisdesign.com.


Landing AI: Unlocking The Power Of Data-Centric Artificial Intelligence

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Artificial Intelligence (AI) has been hugely transformative in industries with access to huge datasets and trained algorithms to analyze and interpret them. Probably the most obvious examples of this success can be found in consumer-facing internet businesses like Google, Amazon, Netflix, or Facebook. Over the last two decades, companies such as these have grown into some of the world's largest and most powerful corporations. In many ways, their growth can be put down to their exposure to the ever-growing volumes of data being churned out by our increasingly digitized society. But if AI is going to unlock the truly world-changing value that many believe it will – rather than simply making some very smart people in Silicon Valley very rich – then businesses in other industries have to consider different approaches.


We Might Not Know Half of What's in Our Cells, New AI Technique Reveals - Neuroscience News

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Summary: New artificial intelligence technology reveals previously unknown cell components. The findings may shed new light on human development and diseases. Most human diseases can be traced to malfunctioning parts of a cell -- a tumor is able to grow because a gene wasn't accurately translated into a particular protein or a metabolic disease arises because mitochondria aren't firing properly, for example. But to understand what parts of a cell can go wrong in a disease, scientists first need to have a complete list of parts. By combining microscopy, biochemistry techniques and artificial intelligence, researchers at University of California San Diego School of Medicine and collaborators have taken what they think may turn out to be a significant leap forward in the understanding of human cells.


Alzheimer's: Daily power walks could help stave off the onset of disease, study claims

Daily Mail - Science & tech

A daily power walk or bike ride in old age may cut the risk of developing Alzheimer's disease, a study has claimed. Research has long shown exercise in middle age and beyond can cut the chance of dementia -- which is most commonly caused by Alzheimer's -- by up to 40 per cent. Now researchers from the University of California say the disease can be prevented if people exercise in later life as well. Exercise is thought to help stave off the disease because it improves cognitive function, keeps bodyweight low and prevents plaque forming in the arteries -- a key cause of vascular dementia. But the latest study also suggests exercise in later life can reduce inflammation in the brain, which can cause Alzheimer's to develop.


Column: One step, then another. With determination and new therapies, there's hope for paralysis patients

Los Angeles Times

Ignacio Montoya pauses, gathers strength, takes a step. With the assistance of a walker, an exoskeleton suit and robotic legs that are attached to his own and help propel him forward, Montoya is making his way up and down the promenade along the water's edge at the Marina del Rey boat basin, next to the Trader Joe's. "Christopher Reeve would be amazed," says UCLA scientist Reggie Edgerton, who worked with the late actor and is now watching Montoya's every move. But some improvements in function, thought impossible until recent years, are now being realized. Montoya was nearly killed in 2012 when a minivan crossed into his path while he was on his motorcycle.


Rescale Closes $105 Million in Expanded Series C Funding

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SAN FRANCISCO, Nov. 23, 2021 (GLOBE NEWSWIRE) -- Rescale, the leading hybrid cloud high performance computing (HPC) platform enabling intelligent computing for digital R&D, today announced it has closed $105 million in an expanded Series C funding round. Existing and new investors in the company include Sam Altman, Jeff Bezos, Richard Branson, Paul Graham, Peter Thiel, Fort Ross Ventures, Gaingels, Gopher, Hitachi Ventures, Initialized Capital, Keen Venture Partners, Microsoft M12, Nautilus Venture Partners, NVIDIA, Prometheus Capital, Republic Labs, Samsung Catalyst Fund, Solasta Ventures, Yield Capital Partners and more. The valuation was not disclosed. Rescale's announcement today follows a dramatic acceleration in customer demand, investor interest and market momentum, bringing the company's total funding to date to over $155 million. With over 200 enterprise customers, and year-over-year sales growing over 2x in 2021, Rescale is accelerating the digital transformation of the computational science and engineering discipline, which has traditionally been on-premises in private data centers but is rapidly shifting to cloud.


La veille de la cybersécurité

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A University of California-Berkeley study revealed that lenders charge higher rates to Black and Hispanic borrowers. According to the study, algorithmic strategic pricing uses machine learning to find shoppers who might do less comparison shopping and accept higher-priced offerings. This algorithm is biased against Blacks and Hispanics. Including the word "transgender" in video titles has resulted in YouTubers receiving lower ad revenue on their videos. Commented Meg Green, a user experience researcher for Rocket Homes, "Being gay or being Black or being a trans woman does not mean these things are negative and that you don't want to read this information. Anything about being bisexual and gay is pornographic and not acceptable for children, according to some biased data found with AI."