Google renews focus on Mediaserver flaws in latest Android Security Bulletin

FAHMIDA Y. RASHID | May 3, 2016

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"Critical remote code execution flaws in Mediaserver dominate this month's Android Security Bulletin from Google. Google patched 32 vulnerabilities across 25 bulletins as part of this month's security update for Android devices. The company also rebranded its patch release to the Android Security Bulletin to reflect the fact that the updates apply to various Android devices, not just Nexus devices. Only one of the bulletins, which addresses a high-severity information disclosure vulnerability in Qualcomm Tethering controller, did not affect Nexus devices."

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SMART ROBOTS: THE POTENTIAL BENEFITS OF COMBINING AI WITH ROBOTICS

Article | February 27, 2020

What would you call a machine that looks like a human? Obviously a Robot! Robots are machines or mechanical human beings that are designed to assist humans with laborious and complex tasks. However, such robots are no more just mechanical design rather they have become smarter with time and advancement of technologies. AI developments have induced evolution and better capacity in robots. Even robotics and AI together can revolutionize almost any industry for the greater good. As the industry is realizing the combined potential of both the technologies, will we see the combination anytime soon?

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Will low-code programming be the antidote to ‘brittle’ RPA?

Article | February 19, 2020

The use of Python is catching up to Java in banking and fintech applications, but what are the reasons behind the emergence of Python? While three million developers have joined the Java community in the past year, in the banking sector, Python is fast closing in on Java’s position in top spot. Python’s backstory in banking Across all sectors, Python has reached seven million active developers fuelled in part by a staggering 62% of machine learning developers and data scientists who now use the programming language.

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Is investing in AI the highest ROI opportunity?

Article | December 8, 2020

This article explores why AI is the highest ROI opportunity. How revolutionary the technology is as Artificial Intelligence (AI) progresses with each passing day, its implementations are massive and almost every magazine and report has covered it. However, explaining its particular facets and how AI and its subsets of Machine Learning and Deep Learning can transform the way we view life has become imperative. Both businesses are or will be implementing AI in one way or another, the future of the corporate world. Investing in the right AI will deliver a really high ROI if you know what you’re doing. Entrepreneurs have nothing to do without their senses and the need for testing. Fortunately, the early stage of AI presents financial investors with a more advanced and profitable strategy and provides valuable strategic perspectives when building a new company. And small companies now generate reliable data from basic market fluctuations in stock to corporate announcements, and this is just the beginning. It is very difficult to select the important one when transmitting data. What do you intend to invest as a long-term investor? Any finance analysts have worked out how to deal with crucial data over time. At that point, they have stable tools that complement their portfolio of investments. AI can assess how early-stage start-ups perform for investors and capture the start-up opportunity for success by forecasting sales growth, market size, business expertise over all variables. It will evaluate the details in order to see if the statistics will actually make improvements. This means that investment-worthy startups can afford to start raising funds. Most investors use AI to make important investment choices. By integrating algorithms, data mining, and language processing, AI can create relationships and models to render proposals based on investor bends. As AI continuously absorbs new data, it will grow as it analyses new information and eventually becomes reliable and far-reaching. MotherBrain, the Machine Learning system developed by EQT Ventures to classify potential start-ups, applies its algorithm to historical data so as to potentially distinguish investment applicants. The platform uses details such as financial statistics, site rankings, device placement, and social media features that most businesses can physically test and evaluate. Surprisingly, if the invention of Motherbrain has already been accessed as it comes to seed and angel finance for businesses. Small investors, including angel investors, can also leverage the expertise and services accessible exclusively to historically significant firms. Another real downside for venture capitalists and angel investors is seeking pleasant investment targets before. This is a consistently strong and travel-intensive challenge. However, Machine Learning and Predictive Analytics are starting to shift the strategy. For other users, there are goods, such as Allegro, an intellectual algorithmic investment focused on AI that is absolutely free from human prejudice. This is a great investing product, but when the market is low on the promise, turn to an equity fund and a debt fund when the market is strong, meaning that the investments are safe. Indeed, finance managers who are compliant with the implications of the industry are often in a tough position where erroneous data exist or where market flaws occur. These defects may be rumors, financial theft, or innocent relationship slip-ups. Owing to the fact that financial markets are in touch with a constant flow of data, the vulnerability or interruption in the flow appears to be worse than the bad news. So, what is restricting the implementation of AI in conventional businesses following the pattern of hedge funds? The most important problems arise from massive financial and human capital investment. Probably the most commonly known inhibitor is the scarcity of available talent pools. As another field, there is a pool of detainees with expertise and experience in the field. The same happens to data scientists and AI practitioners, who usually expect a summary of observations into critical company behavior and goals. Pesa reports that more than 10,000 AI vacancies are available in the United States alone. Apart from a lack of expertise, investment companies need to respond to the priorities and desires of this unique pool of potential that binds the world of academics, academics, and Ph.D. students. Many of these people do not partake in conventional investing jobs and are motivated by capital and financial security. This talent pool is very common and involves their preference. Instead, investment firms need to build a situation where talent demands are fulfilled, placing a high premium on having a positive impression, taking a shot, and seeking game-changing growth. When it comes to worrying about money, investors are still trusting in the person behind the idea. This leaves a lot of space for personal inclination and emotional misconduct. Emotional investment is at stake. AI is balancing this out. AI helps investors to rely more easily on research and statistics. We can not empty our current senses, however, we can use AI to circumvent our existence. Conclusion The growth estimated for AI is huge and shows that it will rise by billions in the coming years. AI may be much larger, analysts say that this sector would rise 30 percent annually. AI has tremendous potential because it can go from engineering to tech in any field and can affect everything in between. Applications of AI are massive and it would not be possible to show only a few facets of it. But if you are an entrepreneur and you have a particular interest in getting to know the industry, then you can look at and evaluate it properly. Opportunities are massive, and technology is just going to grow because the world economies have been struck by a pandemic, one area that has exploded is technology.

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How Governments Have Used AI to Fight COVID-19

Article | March 29, 2020

Governments all around the globe are using artificial intelligence (AI) to help fight against the ongoing COVID-19 pandemic. The technology is being used for various different things, including speeding up the development of testing kits and treatments, giving citizens access to real-time data, and tracking the spread of the virus. South Korea’s government, one that is being touted as an example for how to combat the virus, pushed their private sector to start developing testing kits right away, immediately after the reports began to arrive out of China. One of those companies was Seoul-based molecular biotech company Seegene, which used AI to help quicken the process of developing testing kits. The company was able to submit its solution to the Korea Centers for Disease Control and Prevention (KCDC) just three weeks after the scientists began their work. According to Chun Jong-Yoon, founder and chief executive of the company, the process would have taken at least two to three months without the use of AI.

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Spotlight

Datapath

Datapath is a leading IT solutions provider to the mid-market and public sector. A highly-recognized company with vast capabilities, Datapath provides outsourced and supplemental services to help organizations and IT staff accomplish more and boldly grow. Since 2005 we’ve been listening to our customers as they explore how technology can better serve their objectives. We’ve been working alongside them, as an extension of their team, lending our talent and expertise.

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