San Diego Supercomputer Center makes high performance computing resources available to researchers via a "condo cluster" model. Many homebuyers have found that the most affordable path to homeownership leads to a condominium, in which the purchaser buys a piece of a much larger building. This same model is in play today in the high performance computing centers at many universities. Under this "condo cluster" model, faculty researchers buy a piece of a much larger HPC system. In a common scenario, researchers use equipment purchase funds from grants or other funding sources to buy compute nodes that are added to the cluster.

Machines have gotten smaller and more efficient over the years. However, the majority of these microscopic-scale machines have limited capabilities due to restrictive movements -- something which the scientists have been working to rectify. The most extensive use case of this kind of technology could be seen in the Healthcare sector. I have recently talked about the extended role of nanotechnology in the future of Healthcare. Taking inspiration from the Japanese art of Origami, researchers at the University of Michigan have taken this approach to create more agile micro machines to be used in diverse fields like medical equipment and infrastructure sensing.

Consumers have come to expect personalization in their shopping experiences, whether using online marketplaces such as Amazon and Etsy or mobile apps such as Gilt or Poshmark. Product recommendations, informed by purchase histories and preferred payment methods, are becoming a standard aspect of digital checkout experiences. Online content subscription purchasing experiences are far different from that ideal in practice, however. Magazines, newspapers, television networks and other content providers typically offer more uniform interfaces that may not consider their customers' geographies, content or payment preferences. The standard approach to conversion that has been representative of the digital content ecosystem -- the paywall -- could be on its way to becoming a thing of the past, according to Trevor Kaufman, CEO of New York City-headquartered Software-as-a-Service firm Piano.io,

We take a closer looking at some of the more unusual security research that was presented at this year's virtual Hacker Summer Camp The annual Hacker Summer Camp traversed from Las Vegas into the wilds of cyberspace this year, thanks to the coronavirus pandemic, but security researchers still rose to the challenge of maintaining the traditions of the event in 2020. As well as tackling core enterprise and web security threats, presenters at both Black Hat and DEF CON 2020 took hacking to weird and wonderful places. Anything with a computer inside was a target – a definition that these days includes cars, ATMs, medical devices, traffic lights, voting systems and much, much more. Security researcher Alan Michaels brought a new meaning to the phrase "insider threat" with a talk about the potential risk posed by implanted medical devices in secure spaces at Black Hat 2020. An aging national security workforce combined with the burgeoning, emerging market for medical devices means that the risk is far from theoretical.

With the rise of computing power and advancements in algorithms, there's something amusing and interesting happening in the field of Artificial Intelligence and Machine Learning every day that it becomes difficult to keep up with the pace. Natural Language Processing is gaining new momentum as transformer models like BERT, GPT, RoBERT, XLNET and others are making it possible to create more advanced chatbots which can closely replicate a human and are easy to deploy and maintain along with huge cost savings. To be updated with the recent inventions and advancements, here's a list of top AI blogs I personally follow: Google has few of the best talents on the planet working for its Google research, Google Brain and the overall Google team. They have been successful in finding solutions to some of the most challenging computer science problems and are also the developers of ML platforms like Tensorflow. The Google research blog has all the articles, papers and other relevant content explaining what Google has been able to achieve.

In Deloitte's third edition of the "State of AI in the Enterprise" survey, conducted between October and December 2019, the authors suggest that businesses are now entering an age of Pervasive AI, where its use is becoming more and more widespread. In fact, 74% of the businesses surveyed think that AI will be fully integrated into all aspects of their business in the next three years, and 64% say it enables them to gain a competitive edge. As AI becomes more pervasive, Deloitte's survey claims that we are now moving from the "early adopter" phase of AI's use, to the "early majority" phase, where many more businesses are starting to invest in AI and are increasingly convinced of its benefits. The businesses surveyed were split into three types of AI adopter: starters (27%), skilled (47%) and seasoned (26%). So how do different adopters use AI, and what are their reasons for integrating it into their business operations?

Imagine a few days before an election, a video of a candidate is released, showing them using hate speech, racial slurs, and epithets that undercut their image as pro minorities. Imagine a teenager watching embarrassingly an explicit video of themselves going viral on social media. Imagine a CEO on the road to raise money when an audio clip stating her fears and anxieties about the product is sent to the investors, ruining her chances of success. All the above scenarios are fake, made up, and not actual, but can be made real by AI-generated synthetic media, also called deepfakes[1]. The same technology that can enable a mother, losing her voice to Lou Gehrig's disease to talk to her family using a synthetic voice can also be used to generate a political candidate's fake speech to damage their reputation.

Investors and business leaders globally acknowledge that Machine Learning (ML) and Artificial Intelligence (AI) will remodel their businesses by fueling innovation, streamlining operations, reducing costs, managing risks, and accelerating growth. The potential for revenue and business growth with AI is immense. Artificial intelligence (AI) proceeds to replicate human-like intelligence in machines, the opportunities for businesses to utilize this technology appear limitless. Along with this and a consistent rate of AI adoption in mind, several entrepreneurs are questioning themselves if they must start making investments in AI technology too. Numerous reasons might prompt a business to get on board, but the one that stands out as the most prominent one is the financial gains in doing so.

Digital technologies are being harnessed to support the public-health response to COVID-19 worldwide, including population surveillance, case identification, contact tracing and evaluation of interventions on the basis of mobility data and communication with the public. These rapid responses leverage billions of mobile phones, large online datasets, connected devices, relatively low-cost computing resources and advances in machine learning and natural language processing. This Review aims to capture the breadth of digital innovations for the public-health response to COVID-19 worldwide and their limitations, and barriers to their implementation, including legal, ethical and privacy barriers, as well as organizational and workforce barriers. The future of public health is likely to become increasingly digital, and we review the need for the alignment of international strategies for the regulation, evaluation and use of digital technologies to strengthen pandemic management, and future preparedness for COVID-19 and other infectious diseases. The COVID-19 pandemic has resulted in an accelerated development of applications for digital health, including symptom monitoring and contact tracing. Their potential is wide ranging and must be integrated into conventional approaches to public health for best effect.

At the beginning of 2018, Amazon did something remarkable in Seattle. They opened a supermarket- and it has since proven to be quite exceptional as a matter of fact. You see, Amazon decided to revolutionize how we purchase stuff by eliminating in-store checkouts. Instead, the supermarket relies on virtual assistants bu