Tag Archives: Artificial intelligence

The Beginning and Ending of Time: Stephen Hawking

The Contributions the Late, Great Stephen Hawking, the renowned physicist, cosmologist, and author, made to the tech industry

This Wednesday, Hawking, who had ALS, died at the age of 76. During his lifetime, he became what many considered the world’s greatest living scientist, and was widely known for his ideas about the universe (including theories about the big bang and black holes).

Hawking and his extraordinary ideas inspired many, some of whom, including big names in technology like Google CEO Sundar Pichai and Apple CEO Tim Cook, turned to social media to pay tribute this week. But why was he so respected within the tech community? Even though most of his contributions were related to science, his clever insights regarding the future state of technology made a significant impact.

How Technology Helped Him
Hawking’s used a wheelchair to move around after his disease left him paralyzed, and he was dependent on others and technology for most everyday tasks. Hawking lost his ability to speak when he caught pneumonia on a trip to Geneva. He started using Equalizer, an innovative program by California-based company Words Plus, that allowed the user to select words and commands on a computer using a hand clicker, linked to a speech synthesizer. As his disease worsened and his ability to communicate declined, Hawking met with Intel, who applied state-of-the-art computing technology to improve his communicating speed with the use of a keyboard on the screen and a word-prediction algorithm. This system later improved with modern artificial intelligence (AI) and machine learning technology.

His Commentary on Artificial Intelligence
According to Quartz:

“Despite the help machine learning gave Hawking in communicating, the physicist was somewhat pessimistic about the technology’s potential impact on society. He was known for his skepticism of developing “strong AI,” or general artificial intelligence, that would have similar reasoning capabilities as a human.”

Thanks to his innovative, assistive technology, Hawking could share this views on the future of computing and how technology improves the way we live. He believed that everyone played a role in engaging current and future generations with the study of science to create “a better world for the whole human race.” He predicted that technology could reverse harm caused to the planet by industrialization and help end disease and poverty, but AI needed to be controlled. He said: “computers can, in theory, emulate human intelligence, and exceed it.” Hawking’s comments were part of the escalating debate about the pro and cons of artificial intelligence, also commented on by technology innovators like Elon Musk and Bill Gates.

Stephen Hawking took the world on a remarkable scientific journey through the universe. He was a brilliant scientist, a great communicator, and his revolutionary ideas and arguments were inspiring to the scientific community and beyond. Although he will be missed, his legacy will live on forever.

 “Remember to look up at the stars and not down at your feet. Try to make sense of what you see and wonder about what makes the universe exist. Be curious. And however difficult life may seem, there is always something you can do and succeed at. It matters that you don’t just give up.” – Stephen Hawking

 

10Fold salutes you, Stephen Hawking, you will be missed!

By Kyra Tillmans

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Big Data Horizons- DataBricks, Diagnosing Mental Illness

Big data analytics platform Databricks raises $140M Series D round

“Led by Anderseen Horowitz”

Databricks, a big data analytics platform built by a team that grew out of the Apache Spark project, today announced that it has raised a $140 million Series D round led by Andreessen Horowitz, with participation from New Enterprise Associates and Battery Ventures. This brings Databricks’ total funding raised to date to $247 million, which includes a $60 million round the company announced only last December.

The funding to invest in its product aims to bring data science to more users inside basically any business and to accelerate its growth strategies with their analytics. This includes a focus on core industries like healthcare, financial services, government and media entertainment. The company also plans to grow its engineering and customer success teams.

DataBricks commented further on the funding, stating: “AI has enormous promise but also a 1% problem,” Ali Ghodsi noted in today’s announcement.”Less than 10 companies in the world are achieving the full potential of AI and the rest are really struggling. Databricks’ mission is to simplify AI and bring it to the other 99% of enterprise organizations. This funding will enable us to expand our offering and bring it to many more markets, enabling more businesses to reap the benefits of Big Data and AI.”

Quartet, Sutter Health use big data to get patients the mental healthcare they need

“Tapping into big data to identify people within a with undiagnosed mental health conditions.”

“This very archaic way of viewing separation between physical and mental health, the body and the mind, serves no one well,” John Boyd, the system executive for mental health at Sutter, recently told MobiHealthNews. He elaborates: “…The average person, it can take them anywhere up to and beyond 7, 8 years before they realize they have a mental health challenge, before they seek help.”

Quartet normally uses claims data for its analyses. But working with a health system allows them to wrap EHR data into the mix too, a prospect Chief Data Scientist Dr. David Wennberg is excited to tackle.

“The business proposition is there’s a quality value proposition because if patrons have anxiety and depression they tend to be poor at navigating the healthcare system, so they can end up in the ER or the hospital because they don’t understand all parts of their care,” Wennberg, Quartet’s chief data scientist, told MobiHealthNews. “The goal here is short-term goal-directed therapy for people where they can work with behavioral health providers with an orientation toward functional status.”

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Security Never Sleeps- AI, Navy Vulnerability

How to Hack a Robot

“Forget the Sci-Fi killer AI, there’s a very real threat”

While many of us think of AI dangers as the terminator-style, world destroying super bots, researchers have come up with a very different idea on what could constitute the greater dangers of autonomous robots. Collaborative robots, dubbed ‘cobots’, have now been provably hacked and very dangerous. Dozens of global AI vendor executives have been lobbying the United Nations to take measures to ban ‘lethal autonomous weapons’, also known as killer robots.

Tuesday: Spammers’ Favorite Day of the Week

“Get in the know to protect yourself”

Take a look at your work schedule, then get into the mind of the spammer. When would you be most likely to fall victim to it? Researchers at IBM X-Force Kassal looking into spam honeypot monitoring has done a six month dig into into spam trends, and had some interesting finds. Over 83% of spam is sent on weekdays, common workdays for most people who use email often for work. Specifically, Tuesday, Wednesday, and Thursday have the highest levels of activity. The research team had access to billions of unsolicited emails sent per year, and provides a good outline on what behaviors and trends to avoid to skip the harms that often come from spam email.

The 5 cyber attacks you’re most likely to face

“Perception of threats critical to prevention”

Cyber security consultants often notice that the perceptive nature of the defensive systems firms and other organizations implement. Many times the threats that these institutions believe they will face are far different than what they are actually likely to create the greatest risk of breach or data theft for them.

Check out the full article for more insights into the risk of different threats and how firms deal with them.

Analysis: there is both Means and Motive for Cyber Attacks on Navy Vessels

“Could cyber attacks play a larger role on ships in the future?”

It seems that cyber defenses are becoming increasingly more important to United States Navy ships. A recent collision demonstrates the necessity of upgraded systems. A collision between a Liberian oil tanker Alnic NC and the USS John McCain over the weekend is the fourth collision involving a vessel in the U.S. Navy’s 7th Fleet since January. This is a tragedy that, according to published reports, resulted in extensive damage to the ship and left five sailors injured and 10 unaccounted for.

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Big Data Horizons- MoviePass, Top 4 Data Skills

MoviePass Is Trying to Disrupt Hollywood — Will It Succeed?

“Will revolutionize the way we go to movies”

With a fleeting business model and a growing loss of revenue, MoviePass is looking to revamp consumer interest in theater viewing. The idea is predicated on the Netflix model, which allows users to stream unlimited media on a subscription basis as opposed to per title. MoviePass similarly operates by allowing users to buy a subscription program, hoping to provide a more frequent and consistent movie viewing audience. The firm is expected to make an IPO in early 2018, and showcases another application of big data in entertainment.

Top 4 Big Data Skills for Engineers

“The Big 4 demanded by consumers and employers”

Administer

The physical infrastructure forms the backbone of a Big Data implementation. This infrastructure needs careful planning and configuration to withstand data storage and processing demands. DevOps for Big Data is a key admin skill and often requires knowledge of cloud architectures as Big Data processing is extremely well-suited for the elastic and highly available nature of the cloud.

Develop

These are the skills that have proven essential for building data pipelines and frameworks that ultimately provide data for the data scientists to analyze. Data pipelines are responsible for ingesting data from a variety of sources, including real-time and batch. Hadoop and Spark are the most popular Big Data frameworks used across organizations. While Hadoop is the popular choice to store Big Data, Spark has stepped in to provide a lightning fast framework to process data.

Analyze

This encompasses a mix of expertise in statistics, machine learning, data mining, operations research, mathematics, and computer programming. Data scientists, data analysts, machine learning engineers, and artificial intelligence engineers are required to dive into petabytes of messy data, build algorithms, and then write robust code to automate the algorithms and prove their performance on large-scale live data. In addition to familiarity with the Hadoop ecosystem, this role also demands experience with programming languages like R, Java, Scala, and Python.

Visualize

Visualization developers tell a story using the data collected and design dashboard visualizations tailored to customer needs. These people serve as a technical resource for accessing disparate sources of data and integrating these sources into a common and interactive platform that effectively displays how the company’s data meets their Key Performance Indicators (KPI).

Lenovo drives big data take up in car making industry

“Partnership to promote AI in auto industry”

Announced last Wednesday, Lenovo is set to examine Haima’s sales data to bring solutions in targeting potential customers.  The collaboration will eventually encompass more areas of development, in areas such as car design, development, and smart manufacturing. This deal is one of many since Lenovo has started to provide solutions to clients in 2016. Various industries including metallurgy and medicine have benefited from Lenovo’s big data arm.

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10Fold- Security Never Sleeps- 191

Hack on Italy’s largest bank affects 400,000 customers

“400,000 customers put at risk”

Two security breaches have put hundreds of thousands of sensitive consumer data in jeopardy. Unicredit has stated that personal data and account numbers may have been leaked, also adding that passwords were not leaked, indicating that no unauthorized transactions took place.

Using AI to spot malware patterns

“Protecting organizations has never been more difficult and necessary”

The number of entry points and connected endpoints has only increased, showing that the bad guys are only getting smarter. A new security startup, Cylance, is using artifical intelligence to change the game and counter these criminals.

Majority of Consumers Believe IoT Needs Security Built In

“Global survey say IoT is a ‘shared responsibility'”

Many respondents to a global survey believe that consumers and manufacturers share responsibility to secure networks. Irdeto’s report shows that 90% of respondents think that security should be built in to IoT devices, but are more divided on who is responsible for implementing the systems.

Cloud-Based Email Security Systems From Microsoft And Symantec Miss Thousands Of Unsafe Emails

“Risk assessment on more than 45 million emails”

Email and data security company Mimecast has run an extensive experiment on corporate email vulnerabilities over more than a year. About 24% of the emails were marked as unsafe, with most being spam while some contained dangerous malware. That may seem like a relatively small amount, but given that all of the emails were originally classified as ‘safe’ we see a bigger problem emerge.

Shoddy data-stripping exposes firms to hack attacks

“Research suggests much vulnerability”

Many large firms have made themselves open to attacks because of inadequate data stripping on their websites. Researchers have found that as employees create documents, images, and other files, the data is uploaded to the companies website and not properly maintained.

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