Interest in Bitcoin Returned to Crypto Winter Levels – Crypto Briefing

Amidst a grinding price slide, Bitcoin boredom has set into crypto markets. Interest indicators fell to levels not seen since March, according to Google Trends.

Yearly Google searches for Bitcoin peaked at the end of June, at a value of 100. They have been steadily falling since. Today, Bitcoin searches measured 23. They were last seen in the low 20s ranges in March, bottoming at 20.

A value of 100 represents the peak popularity for the period, with 50 indicating the search term is half as popular and zero suggesting insufficient data.

Courtesy Google Trends, 365-day search popularity for Bitcoin

When viewing the entire timespan of Bitcoins existence, its search popularity peaked at 100 in December 2017. It is now at 7, similar to interest levels in the April-May period of 2017 and toward the end of the 2018 crypto winter.

Courtesy Google Trends, Search popularity for Bitcoin since 2004

Similar Web shows a similar decline in traffic to key crypto metrics site CoinMarketCap. The 16th most visited finance and investing site in the world, CoinMarketCap traffic is at 6-month lows. The site had around 33 million visitors last month. In early June it saw 67 million views.

Courtesy Similar Web, 6-month CoinMarketCap traffic

Coingecko traffic has also fallen by approximately 40 percent since Summer.

Courtesy Similar Web, 6-month CoinMarketCap and Coingecko traffic compared

Google Trends clearly indicates that rising prices and rising interest in cryptocurrency are correlated. Whether prices drive interest or interest drives prices is hotly debated. It is widely believed that some events drive crypto market prices. That probably suggests that interest in crypto and crypto prices are both results of the same cause, at least at the earlier stages of a trend.

As CoinList president Andy Bromberg told Quartz earlier this month, The overall crypto markets have a tendency to be event-driven, and in the past few months there hasnt been news to send prices moving meaningfully.

In September, Bitcoin price volatility hit its lowest levels in around 6 months, according to Forbes. Crypto Briefing reported at the time that despite the much-anticipated launch of Bakkt, interest in Bitcoin failed to enjoy an uptick.

Twitter activity for the original crypto had flatlined. Now, according to metrics by BitInfoCharts, Bitcoin-related tweets have been in free fall since Nov. 26, when it was mentioned 25,000 times. Yesterday, that figure was at a mere 14,000.

Courtesy BitInfoCharts, Bitcoin-related tweets for the past 6 months

That data indicates that price volatility is at least one type of event likely to drive interest and price growth. Though wide price swings were long criticized as a problem for Bitcoin adoption, they may actually be its best friend.

Continue reading here:

Interest in Bitcoin Returned to Crypto Winter Levels - Crypto Briefing

Ring hackers demand $350,000 in Bitcoin from Texas couple, but something so simple ruined their plot – BGR

Amazons Ring cameras are now commonplace in homes of early smart tech adopters across the country, but just how secure are they? Recent reports from Ring owners read like a horror movie, with bad actors invading the internet-connected cameras and causing all manner of distress.

One of the most bizarre recent reports comes from Grand Prairie, Texas, where a couple says they awoke in the middle of the night to an alarm coming from their Ring camera. But thats not all they heard; After the couple came to investigate, a voice over the Rings built-in speaker claimed that the couples Ring account had been terminated, and that they themselves would be terminated if they didnt fork over a hefty haul of cryptocurrency.

The hackers demanded a whopping 50 bitcoins. Going by the current conversion rate, thats over $350,000. In a brief video of the incident posted by local ABC affiliate WFAA, the individual who accessed the camera and its speakers can be heard laughing, so its unclear exactly how serious this threat was.

If the bad actors had simply accessed the couples Ring camera, this would likely be a bit of a non-story, but what makes this whole thing scary is that they also gained control over the homes Ring doorbell. They used their access to the doorbell to spoof their presence outside of the couples home, making the homeowners believe that someone was actually stalking their property while demanding the ransom.

Ultimately the hackers plan was foiled when the couple decided to shut down their Ring doorbell by yanking its batteries. Without that line of communication and access to live video from inside the home, the hacker or hackers apparently called it quits and moved on.

See the rest here:

Ring hackers demand $350,000 in Bitcoin from Texas couple, but something so simple ruined their plot - BGR

Top 3 price prediction Bitcoin, Ethereum, Ripple: Some roads lead to the moon, hysteria to hell – FXStreet

The mood of the crypto market in these last hours moves between fear and depression, a journey that also involves stops at anxiety and doubt.

According to a recent study, the number of Google searches on Bitcoin and Ethereum has plummeted and dropped more than 94% in the week.

The crypto market has always been hyper-reactive to the price movements, with uncontrolled euphoria followed by disorderly panic, unreasoned hopes with senseless despair.

Now it is happening again, but from a trader's point of view, it is powerfully striking that despite this intense pessimism floating in the atmosphere, prices remain more than 100% above the lows of a year ago.

There are also bearish arguments based on opposite sentiment strategies due to the high number of bullish positions and also bearish targets for Bitcoin in the $5,000 zone.

But it's not all bad news.

As general public interest has declined this year, the number of developers involved with projects based on blockchain technology, mainly in Ethereum, has increased.

Moreover, almost at a daily rate, we have news about the involvement of governments and central banks in new projects on national electronic currencies and new regulatory proposals.

If it were not for the crypto hysteria evident in the media, mine first, I would say that the matter is not as bad as some would have us believe.

The ones that have the potential of the blockchain universe very clear are the Chinese politicians and industry leaders. The global giant certainly does not support anonymous cryptocurrencies, even though a whopping 66%! of the hash rate installed in the Bitcoin network is concentrated behind the Great Wall.

The Chinese government declared that they believe in the blockchain revolution and that they want to lead this new revolution, and for now, it seems that only Europe is reacting from the institutional point of view.

In the US, the legislative initiative remains in the hands of each state of the union. The Federal Government attacks Facebook aggressively for its Libra project and the advances in favor of the adoption of the new technology come from the private sector.

The ETH/BTC cross is currently rising above 1% and reaches the price level of 0.020051.

I have already stated in several articles my conviction that the next bull market of the cryptomarket will be led by the bullish movement of the ETH/BTC pair.

Earlier this week, I highlighted a necessary short-term move in this pair, so I will pay special attention to the cross between Ethereum and Bitcoin in the upcoming hours and days.

Above the current price, we can find two major obstacles. The first is at the price level of 0.0205, where the SMA100 and the EMA50 pass. The next key level is at 0.0222, where the SMA200 and the long term bearish line converge. Finally, and only above the resistance level of 0.0227, the ETH/BTC pair would move up very strongly.

Below the current price, the risks are obvious. The first support level is at 0.019, then the second at 0.018 and the third one at 0.017.

The MACD on the daily chart begins to show a full bullish cross, with a profile that augurs that the move will not be fast.

The DMI on the daily chart shows the bears recovering but not getting past the ADX line again, which takes away credibility from the bearish side. The bulls also do not increase their strength, so it seems that indecision is the guide of the current moment.

The BTC/USD pair is currently trading at the price level of $7,173and holds at the support level of $7150.

Above the current price and speaking exclusively of critical levels, the first resistance level is at $7,500, then the second at $7,930 and the third at $8,640.

Below the current price and speaking of crucial levels, the first support level is at $6,840, then the second at $6,500 and the third one at $5,000.

The MACD on the daily chart shows how the profile continues to be bullish, although with a little opening between the lines. The structure favors the resumption of the bullish momentum that began at the end of November.

The DMI on the daily chart shows bulls very well positioned to attack bear leadership.

The market is playing on paths that start together but end in opposite directions.

The ETH/USD pair is currently trading at the $144.12price level and it is recovering from bad times early in the day. At this point, he draws the figure of a hanging, a typical technical turning figure.

Above the current price, the first major resistance level is at $155, then the second at $161 and the third one at $175.

Below the current price, the first critical support level is at $130, then the second at $125 and the third one at $120.

The MACD on the daily chart shows an excellent bullish profile, although reducing the distance between the lines.

The DMI on the daily chart shows the bulls at the same lows as in recent weeks. The bears, on the other hand, gain strength again and get an excellent bullish profile, dominating the pair with ease.

The XRP/USD pair is currently trading at the $0.2205price level and recovers some of the losses early in the day.

Above the current price, the first resistance level is at $0.23, then the second at $0.245 and the third one at $0.255.

Below the current price, the first support level is at $0.21, then the second at $0.19 and the third one at $0.17.

The MACD on the daily chart shows the best bullish profile among the TOP 3. It has retained the slope and openness between the lines, so a change in the market that would bring in fresh money would be very positive for the XRP/USD pair.

The DMI on the daily chart shows the bulls at their lowest level since the last week of November, without any upward reaction. The bears gain a bit of momentum and stay a long way ahead of the buyer side.

Get 24/7 Crypto updates in our social media channels: Give us a follow at @FXSCrypto and our FXStreet Crypto Trading Telegram channel

Go here to read the rest:

Top 3 price prediction Bitcoin, Ethereum, Ripple: Some roads lead to the moon, hysteria to hell - FXStreet

Crypto Innovation School 2019 to start this Friday – Cryptomorrow

The CIS 2019 event, which is co-organized by the Crypto Innovation School andPlatON, the global trustless computing network, will kick-off on Friday December 13 until Sunday, December 15, 2019 in Shanghai, China.

Accredited with the International Association for Cryptologic Research (IACR), CIS has been organised in collaboration with Tsinghua University and Shanghai Jiao Tong University.

Showcasing rising cryptography Talent, IACR-Accredited Crypto Innovation School Returns for a Second Year, and among those invited isTuring award-winning computer scientist and computational theorist Prof. Andrew Chi-Chih Yao who has been invited as the Honourary Chair of this years cryptographic research programme. This years programme aims to showcase the latest advancements and insights in the mathematical foundations of lattice-based cryptography.

Renowned scholars and experts in the field are confirmed to be in attendance. This year, award-winning computer scientist and theorist Prof. Andrew Chi-Chih Yao has been invited as an Honourary Chair. A member of the US National Academy of Sciences and the Chinese Academy of Sciences, Yao was awarded the Knuth Prize in 1996 and the Turing Award in 2000 in recognition of his critical contributions to cryptography and computer science, such as Yaos Principle.

CIS 2019 co-chairs include International Association for Cryptologic Research (IACR) fellow Academician Xiaoyun Wang and Prof. Yu Yu, of Tsinghua University and Shanghai Jiao Tong University, respectively. PlatON CEO Lilin Sun will also be serving as Executive Chair. Dr. Xie will also be serving as an organising committee member as part of this years winter school.

PlatON Algorithm Scientist Dr. Xiang Xie said, With digital transformation at the forefront of the global business agenda, greater standards in information security, encryption, and data protection continue to be pioneered around the world. Despite being hidden from public view, cryptography has historically played a critical role in how digital communication and commerce has evolved throughout the years. At CIS, we allow some of the most promising minds in cryptography research to connect with renowned experts in the industry, as they work to examine and understand the current opportunities, risks, and challenges facing us today.

PlatONs trustless computing architecture leverages a broad range of cryptographic algorithms ranging from homomorphic encryption, zero-knowledge non-interactive proofs, and multi-party computation. Having previously sponsored prominent academic cryptography conferences in the past, such as IACR Crypto, Eurocrypt, Asiacrypt, and the ACM Conference on Computer and Communications Security (CCS), encouraging research and education is a key area of focus at PlatON. Its work with CIS strives to expand the influence and application of cryptographic mechanisms amid an increasingly data-driven world.

Open to researchers, students, and cryptography enthusiasts of all levels and from all around the globe, CIS 2019 is expected to host approximately 150 attendees. Last years CIS winter school saw a diverse cohort of over 130 researchers, graduate students, and post-doctoral researchers hailing from countries such as China, India, Singapore, Japan, Korea, France, Germany, and the United States. Hosted in Shenzhen, last years programme focused predominantly in areas of privacy-preserving cryptography and featured renowned academics and researchers.

PlatON is a next-generation computing architecture that aims to facilitate secure, seamless, and open data sharing for the public good. Through Privacy-Preserving Computation (PPC), PlatON breaks down data silos and enables secure data exchange and collaborative computing for enterprise users. With its open-source data marketplace, PlatON supports and incentivises individuals and businesses looking to both monetise and utilise data resources.

PlatON addresses limitations in scalability and security by way of Verifiable Computation and privacy-preserving encryption capabilities, currently enabling real-world usability across a variety of global industries, including advertising, healthcare data management, IoT and decentralised AI, financial services, as well as key management systems.

Crypto Innovation School (CIS) is a cryptology innovation school that looks to bring promising researchers from all over the world to gather and discuss groundbreaking research in cryptology today. Accredited with the International Association for Cryptologic Research (IACR), CIS is hosted by PlatON and is supported by leading local Chinese universities such as Tsinghua University, Shanghai Jiao Tong University, and the State Key Laboratory of Cryptology.

Post Views: 178

Link:
Crypto Innovation School 2019 to start this Friday - Cryptomorrow

Red Hat Extends the Security Profile of the Worlds Leading Enterprise Linux Platform, Renews FIPS 140-2 Validation for Red Hat Enterprise Linux 7.6 -…

Red Hat Enterprise Linux and many layered products continue to meet stringent software security criteria for public sector deployments

Red Hat, Inc., the world's leading provider of open source solutions, today announced the renewal of the Federal Information Processing Standard 140-2 (FIPS 140-2) security validations for Red Hat Enterprise Linux 7.6. Driven by the National Institute of Standards and Technology (NIST), FIPS 140-2 is a computer security standard that specifies the requirements for cryptographic modules -- including both hardware and software components -- used within a security system to protect sensitive information.

This renewed validation maintains and extends Red Hats leadership in providing mission-critical-ready open source technologies to government agencies and regulated industries, such as healthcare and telecommunications. With Red Hats FIPS 140-2 validated solutions, these industries can better meet necessary information security guidelines without compromising on the need for innovative, flexible software solutions. Red Hat maintains a strong commitment to providing open, more secure IT innovation to the public sector, with the companys technologies now holding more than 20 active FIPS validations that meet the criteria for use by U.S. government agencies.

Following the FIPS 140-2 validation of Red Hat Enterprise Linux 7.5 in November 2018, these cryptography re-validations cover Red Hat Enterprise Linux 7.6 and portfolio technologies that incorporate Red Hat Enterprise Linux 7.6. Additional products which use the FIPS 140-2 re-validated cryptography modules include, but are not limited to:

Red Hat Enterprise Linux 7.6 updates FIPS 140-2 validation for the following modules:

These modules retain FIPS 140-2 validation when used on these hardware configurations:

FIPS 140-2 validation is needed when agencies determine that specific information systems should use cryptography to protect data; if cryptography is required, then it must be validated. In order to achieve FIPS 140-2 validation, cryptographic modules are subject to testing by NIST-accredited independent Cryptographic and Security Testing Laboratories. The validation for Red Hat Enterprise Linux 7.6 was performed by Atsec information security corporations Cryptographic and Security Testing Laboratory in Austin, Texas. Atsec is an independent organization with long-standing experience in IT security standards.

In addition to the renewed certification of Red Hat Enterprise Linux 7.6, Red Hat Enterprise Linux 7.7 and Red Hat Enterprise Linux 8.1 are currently on the NIST "Implementation Under Test" list with the intent to extend FIPS 140-2 validation to the latest releases of the Red Hat Enterprise Linux 7 and Red Hat Enterprise Linux 8 platforms.

Supporting Quote

Paul Smith, senior vice president and general manager, Public Sector, North America, Red Hat"For more than a decade, Red Hat has been helping to meet the technology needs of organizations where IT security is a primary concern, from executive agencies to state governments. The FIPS 140-2 re-certification of Red Hat Enterprise Linux 7.6 shows our continued commitment to delivering a more secure and product-ready set of open hybrid cloud technologies, all based on the foundation of the worlds leading enterprise Linux platform."

Additional Resources

Connect with Red Hat

About Red Hat, Inc.

Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. Red Hat helps customers integrate new and existing IT applications, develop cloud-native applications, standardize on our industry-leading operating system, and automate, secure, and manage complex environments. Award-winning support, training, and consulting services make Red Hat a trusted adviser to the Fortune 500. As a strategic partner to cloud providers, system integrators, application vendors, customers, and open source communities, Red Hat can help organizations prepare for the digital future.

Forward-Looking Statements

Certain statements contained in this press release may constitute "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors, including: risks related to the ability of the Company to compete effectively; the ability to deliver and stimulate demand for new products and technological innovations on a timely basis; delays or reductions in information technology spending; the integration of acquisitions and the ability to market successfully acquired technologies and products; risks related to errors or defects in our offerings and third-party products upon which our offerings depend; risks related to the security of our offerings and other data security vulnerabilities; fluctuations in exchange rates; changes in and a dependence on key personnel; the effects of industry consolidation; uncertainty and adverse results in litigation and related settlements; the inability to adequately protect Company intellectual property and the potential for infringement or breach of license claims of or relating to third party intellectual property; the ability to meet financial and operational challenges encountered in our international operations; and ineffective management of, and control over, the Company's growth and international operations, as well as other factors. In addition to these factors, actual future performance, outcomes, and results may differ materially because of more general factors including (without limitation) general industry and market conditions and growth rates, economic and political conditions, governmental and public policy changes and the impact of natural disasters such as earthquakes and floods. The forward-looking statements included in this press release represent the Company's views as of the date of this press release and these views could change. However, while the Company may elect to update these forward-looking statements at some point in the future, the Company specifically disclaims any obligation to do so. These forward-looking statements should not be relied upon as representing the Company's views as of any date subsequent to the date of this press release.

Story continues

Red Hat, Red Hat Enterprise Linux, the Red Hat logo, Ceph, CloudForms, Gluster and OpenShift are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in the U.S. and other countries. Linux is the registered trademark of Linus Torvalds in the U.S. and other countries. The OpenStack Word Mark is either a registered trademark/service mark or trademark/service mark of the OpenStack Foundation, in the United States and other countries, and is used with the OpenStack Foundation's permission. Red Hat is not affiliated with, endorsed or sponsored by the OpenStack Foundation, or the OpenStack community.

View source version on businesswire.com: https://www.businesswire.com/news/home/20191210005610/en/

Contacts

John TerrillRed Hat, Inc.+1-571-421-8132jterrill@redhat.com

Read this article:
Red Hat Extends the Security Profile of the Worlds Leading Enterprise Linux Platform, Renews FIPS 140-2 Validation for Red Hat Enterprise Linux 7.6 -...

Nevermore Security Named One of Business Worldwide Magazine’s Most Innovative Companies to Watch 2019 – Yahoo Finance

LONDON, Dec. 11, 2019 /PRNewswire/ -- Cyber Security is a hot topic for organisations of all sizes, with the global cost estimated at over $600 billion. Nevermore Security specialises in helping the energy sector protect their businesses and customers from the ever-increasing threat of hacking, and Business Worldwide Magazine has ranked in its "20 Most Innovative Companies to Watch, 2019".

The list is a celebration of trailblazing organisations that are changing the game in their respective industries and altering the corporate landscape. From banking to industry, healthcare to energy, these companies are at the cutting edge of technology, innovation and business strategies. As individuals and as part of the larger global landscape, they demonstrate a shared goal of developing revolutionary products and tech with the power to drive scalable business models and disrupt established industries and markets.

Nevermore Security was founded by Annabelle Lee, a cyber security specialist with over 40 years of technical experience in IT system design and implementation. Throughout her career she has written many documents on cyber security, cryptography and testing, and has specialised in working with the electricity sector for the past 15 years.

There have been huge changes in the threat landscape over recent years, with cyber adversaries constantly coming up with more sophisticated ways to hack into organisations and compromise their valuable data. Threats like third party risks, data breaches and attacks on the Industrial Internet of Things (IIoT) are expected to increase in frequency over the coming years. Cyber security is essential to all industries, and the energy sector is no exception. Advancements in technology have delivered significant cost and production efficiencies, but the combination of new technology and legacy equipment have presented many security risks. The advent of smart technologies and IoT devices have exposed the sector to a new set of risks that did not exist even a decade ago - and that's where Nevermore Security comes in.

By helping electricity companies understand the threats and see their organisations from an attacker's perspective, Nevermore guides leaders on how to identify attack vectors and mitigate potential vulnerabilities. Annabelle explained, "What sets us apart is that we offer in-depth sector knowledge and specialist expertise, gained through continually changing technical and threat environment. It is essential to understand the distinction of the cyber security needs in the electric sector and OT environment as compared to the IT environment, and Nevermore Security has significant experience in this field."

For more information relating to Nevermore Security's cybersecurity offering, visit https://www.nevermoresecurity.com/

An article on the company can be found on the Business Worldwide website

Cyber Resilience for the Energy Sector

About Business Worldwide Magazine

Business Worldwide Magazine is the leading source of business and dealmaker intelligence throughout the world. Our quarterly magazine and online news portal enables an established audience of corporate dealmakers to track the latest news, stories and developments affecting the international markets, corporate finance, business strategy and changes in legislation. This readership includes of CEO/CFO - Banks, Corporate Lawyers and Venture Capital/Private Equity Companies to name a few.

ContactDavid Jones Awards DepartmentE:david.jones@bwmonline.com

W:http://www.bwmonline.com

View original content:http://www.prnewswire.com/news-releases/nevermore-security-named-one-of-business-worldwide-magazines-most-innovative-companies-to-watch-2019-300972522.html

SOURCE Business Worldwide Magazine

Read the rest here:
Nevermore Security Named One of Business Worldwide Magazine's Most Innovative Companies to Watch 2019 - Yahoo Finance

Security leaders fear that quantum computing developments will outpace security technologies – Continuity Central

DetailsPublished: Wednesday, 11 December 2019 07:59

More than half (54 percent) of cyber security professionals have expressed concerns that quantum computing will outpace the development of security technologies, according to new research from the Neustar International Security Council (NISC). Keeping a watchful eye on developments, 74 percent of organizations said that they are paying close attention to the technologys evolution, with 21 percent already experimenting with their own quantum computing strategies.

A further 35 percent of experts claimed to be in the process of developing a quantum strategy, while just 16 percent said they were not yet thinking about it. This shift in focus comes as the vast majority (73 percent) of cyber security professionals expect advances in quantum computing to overcome legacy technologies, such as encryption, within the next five years. Almost all respondents (93 percent) believe the next-generation computers will overwhelm existing security technology, with just 7 percent under the impression that true quantum supremacy will never happen.

Despite expressing concerns that other technologies will be overshadowed, an overwhelming number (87 percent) of CISOs, CSOs, CTOs and security directors are excited about the potential positive impact of quantum computing. The remaining 13 percent were more cautious and under the impression that the technology would create more harm than good.

At the moment, we rely on encryption, which is possible to crack in theory, but impossible to crack in practice, precisely because it would take so long to do so, over timescales of trillions or even quadrillions of years, said Rodney Joffe, Chairman of NISC and Security CTO at Neustar. Without the protective shield of encryption, a quantum computer in the hands of a malicious actor could launch a cyber attack unlike anything weve ever seen.

For both todays major attacks, and also the small-scale, targeted threats that we are seeing more frequently, it is vital that IT professionals begin responding to quantum immediately. The security community has already launched a research effort into quantum-proof cryptography, but information professionals at every organization holding sensitive data should have quantum on their radar. Quantum computing's ability to solve our great scientific and technological challenges will also be its ability to disrupt everything we know about computer security. Ultimately, IT experts of every stripe will need to work to rebuild the algorithms, strategies, and systems that form our approach to cyber security, added Joffe.

http://www.nisc.neustar

Read the original here:
Security leaders fear that quantum computing developments will outpace security technologies - Continuity Central

10 Machine Learning Techniques and their Definitions – AiThority

When one technology replaces another, its not easy to accurately ascertain how the new technology would impact our lives. With so much buzz around the modern applications of Artificial Intelligence, Machine Learning, and Data Science, it becomes difficult to track the developments of these technologies. Machine Learning, in particular, has undergone a remarkable evolution in recent years. Many Machine Learning (ML) techniques have come in the foreground recently, most of which go beyond the traditionally simple classifications of this highly scientific Data Science specialization.

Read More: Beyond RPA And Cognitive Document Automation: Intelligent Automation At Scale

Lets point out the top ML techniques that the industry leaders and investors are keenly following, their definition, and commercial application.

Perceptual Learning is the scientific technique of enabling AI ML algorithms with better perception abilities to categorize and differentiate spatial and temporal patterns in the physical world.

For humans, Perceptual Learning is mostly instinctive and condition-driven. It means humans learn perceptual skills without actual awareness. In the case of machines, these learning skills are mapped implicitly using sensors, mechanoreceptors, and connected intelligent machines.

Most AI ML engineering companies boast of developing and delivering AI ML models that run on an automated platform. They openly challenge the presence and need for a Data Scientist in the Engineering process.

Automated Machine Learning (AutoML) is defined as the fully automating the entire process of Machine Learning model development right up till the process of its application.

AutoML enables companies to leverage AI ML models in an automated environment without truly seeking the involvement and supervision of Data Scientists, AI Engineers or Analysts.

Google, Baidu, IBM, Amazon, H2O, and a bunch of other technology-innovation companies already offer a host of AutoML environment for many commercial applications. These applications have swept into every possible business in every industry, including in Healthcare, Manufacturing, FinTech, Marketing and Sales, Retail, Sports and more.

Bayesian Machine Learning is a unique specialization within AI ML projects that leverage statistical models along with Data Science techniques. Any ML technique that uses the Bayes Theorem and Bayesian statistical modeling approach in Machine Learning fall under the purview of Bayesian Machine Learning.

The contemporary applications of Bayesian ML involves the use of open-source coding platform Python. Unique applications include

A good ML program would be expected to perpetually learn to perform a set of complex tasks. This learning mechanism is understood from the specialized branch of AI ML techniques, called Meta-Learning.

The industry-wide definition for Meta-Learning is the ability to learn and generalize AI into different real-world scenarios encountered during the ML training time, using specific volume and variety of data.

Meta-Learning techniques can be further differentiated into three categories

In each of these categories, there is a unique learner, meta-learner, and vectors with labels that match Data-Time-Spatial vectors into a set of networking processes to weigh real-world scenarios labeled with context and inferences.

All the recent Image Processing and Voice Search techniques use the Meta-Learning techniques for their outcomes.

Adversarial ML is one of the fastest-growing and most sophisticated of all ML techniques. It is defined as the ML technique adopted to test and validate the effectiveness of any Machine Learning program in an adverse situation.

As the name suggests, its the antagonistic principle of genuine AI, but used nonetheless to test the veracity of any ML technique when it encounters a unique, adverse situation. It is mostly used to fool an ML model into doubting its own results, thereby leading to a malfunction.

Most ML models are capable of generating answer for one single parameter. But, can it be used to answer for x (unknown or variable) parameter. Thats where the Causal Inference ML techniques comes into play.

Most AI ML courses online are teaching Causal inference as a core ML modeling technique. Causal inference ML technique is defined as the causal reasoning process to draw a unique conclusion based on the impact variables and conditions have on the outcome. This technique is further categorized into Observational ML and Interventional ML, depending on what is driving the Causal Inference algorithm.

Also commercially popularized as Explainable AI (X AI), this technique involves the use of neural networking and interpretation models to make ML structures more easily understood by humans.

Deep Learning Interpretability is defined as the ML specialization to remove black boxes in AI models, providing decision-makers and data officers to understand data modeling structures and legally permit the use of AI ML for general purposes.

The ML technique may use one or more of these techniques for Deep Learning Interpretation.

Any data can be accurately plotted using graphs. In Machine Learning techniques, a graph is a data structure consisting of two components, Vertices (or nodes) and Edges.

Graph ML networks is a specialized ML technique used to connect problems with edges and graphs. Graph Neural Networks (NNs) give rise to the category of Connected NNs (CNSS) and AI NNs (ANN).

There are at least 50 more ML techniques that could be learned and deployed using various NN models and systems. Click here to know of the leading ML companies that are constantly transforming Data Science applications with AI ML techniques.

(To share your insights about ML techniques and commercial applications, please write to us at info@aithority.com)

More:

10 Machine Learning Techniques and their Definitions - AiThority

Google is using machine learning to make alarm tones based on the time and weather – The Verge

Google has an update that might make you hate your alarm a little bit less: a new feature lets it automatically change up what your alarm plays based on the time of day and the weather, theoretically playing something slightly more appropriate than the same awful song you hear day in and out. At least, itll be nice as long as youre okay with waking up to AI-generated piano.

The feature is confined to a single device for now: Lenovos Smart Clock, a small smart display that basically has the functionality of a Google Home Mini paired with a screen that can show the time and weather. Google says this feature which it calls Impromptu is part of Google Assistant, though, which suggests it should reach other smart displays, and perhaps even phones, in the future. The announcement doesnt say when or whether itll expand, however.

Google says all of the music is created and chosen by Magenta, an open-source music tool built around machine learning that Google has been creating. In a blog post, Google says the system might select this song if the weather is below 50 degrees (Im assuming Fahrenheit) and early in the morning. I dont know exactly what about this song says cool and pre-dawn, but Id be down to listen to anything other than the default alarm tone that Ive heard every day for years.

The feature is rolling out globally today to Lenovos device. The smart clock, which used to retail for $80, now appears to be down to $50, making it a lot more competitive with Amazons $60 Echo Show 5.

Excerpt from:

Google is using machine learning to make alarm tones based on the time and weather - The Verge

Appearance of proteins used to predict function with machine learning – Drug Target Review

Researchers have used a machine-learning algorithm to study protein appearance and discover common features that influence function, which could be used to design artificial cells.

Researchers at EPFL have developed a new way to predict a protein's interactions with other proteins and biomolecules and its biochemical activity, merely by observing its surface (credit: Laura Persat / 2019 EPFL).

A new machine learning-driven technique has been able to predict the interactions between proteins and describe biochemical activity based on surface appearance.

The study was conducted at the Laboratory of Protein Design & Immunoengineering (LPDI), Switzerland, in collaboration with other researchers.

According to the team, the method, known as MaSIF, could support the development of protein-based components for artificial cells in novel therapeutics.

Scientists have developed a new way to predict a proteins interactions with other proteins and biomolecules and its biochemical activity, merely by observing its surface (credit: Laura Persat / 2019 EPFL).

The researchers took a vast set of protein surface data and fed the chemical and geometric properties into a machine-learning algorithm, training it to match these properties with particular behaviour patterns and activity. They used the remaining data to test the algorithm.

By scanning the surface of a protein, our method can define a fingerprint, which can then be compared across proteins, says Pablo Gainza, the first author of the study.

The team found that proteins performing similar interactions share common features.

The algorithm can analyse billions of protein surfaces per second, says LPDI director Bruno Correia. Our research has significant implications for artificial protein design, allowing us to program a protein to behave a certain way merely by altering its surface chemical and geometric properties.

The method could also be used to analyse the surface structure of other types of molecules, say the researchers.

The findings were published in Nature Methods.

Read the rest here:

Appearance of proteins used to predict function with machine learning - Drug Target Review