AI News, Will Metaculus predict that artificial intelligence continues to pose a ... artificial intelligence
After an initial entrepreneurial stint for three years at the age of 19, Suresh Sambandam went on to work at Hewlett-Packard.
Suresh is a technocrat specializing in product engineering with expertise in software architecture for complex enterprise applications, inference engines, configuration engines, rule-based computing and enterprise middleware.
Suresh is passionate about entrepreneurship, technology startups and spends a significant amount of personal time in the start-up ecosystem in Chennai.
OrangeScape was showcased as one of the 3 emerging product companies in India by Nasscom and was also awarded 'Top IT Innovations' for 2 consecutive years.
AI & Machine Learning News. 10, December 2018
Thasos Response to Apple Terms of Service Change • Integrity Research In response to Apple changing its Terms of Service, geolocation data provider Thasos Group decided to make the difficult decision to completely eliminate the use of iOS data in their service. The result has been a significant decrease in compliance concerns from hedge funds who value geolocation data.
In late 2016 or early 2017 Apple changed its App Store Terms of Service for App Developers to better address the growing concerns of individuals about the privacy of their data collected by iPhone apps. In the wake of these changes, Apple has slowly started to remove third-party apps from their App Store for violating the new terms.
he most concerning changes for the alternative data industry are found in Section 5.1 of the App Store Review Guidelines. These changes can be summarized as follows: In addition to simply asking users to provide their permission to collect data, Apple has required iOS app developers to explain what the data is used for and how it is shared. In addition, Apple has started cracking down on instances where the data is used for purposes unrelated to improving the user experience. 2018-12-05
Reviewing these is a helpful way for both aspiring and working data scientists to challenge themselves and learn more about a particular field, a different way of thinking, or ways to better their own company based on similar experiences.
Allow us to share a few of our favorite data science case studies with you so you can see first hand how companies across a variety of industries leveraged big data to drive productivity, profits, and more.
In this post we’ll take a look at an important theme that emerged from SciPy 2018: convergence, i.e., Python libraries becoming more similar in capability as they mature over time and share ideas and approaches.
As in the first post, we’ll generally separate the SciVis projects (typically 3D plotting situated in real-world space) from InfoVis projects (typically 2D plotting situated on the page or screen surface with arbitrary coordinate axes). 2018-12-03
One needn’t look further for evidence then the winners of this week’s IBM Watson AI Xprize wildcard round, which included a Montreal startup — Aifred Health — developing a model that helps clinicians choose personalized patient treatment programs.
Accessibility is another burgeoning area of what’s been coined “AI for good” research, and one which Montreal startup Stradigi AI is committed to advancing with a new tool for the deaf and hearing impaired At the NeurIPS 2018 conference in Montreal this week, the four-year-old startup — which its two cofounders, Carolina Bessega and Jaime Camacaro, pivoted from software development to AI research in 2016 — demoed a game that uses computer vision to help people learn American Sign Language (ASL). 2018-12-08
What we are presenting today is how our project came to life, and how this demo, rooted in our mission to promote AI for Good, advocates the idea that artificial intelligence really can make people’s lives better.
From seed to sip: How Anheuser-Busch InBev uses AI to drive growth Anheuser-Busch InBev (AB InBev) is using artificial intelligence to drive growth and innovation across all dimensions of its global brewing business.
The brewer of Budweiser, Corona, Stella Artois and more than 500 other beer brands has built a worldwide analytics platform on the Microsoft Azure cloud, enabling the company to draw data driven-insights about everything from optimal barley growing conditions to drivers of successful sales promotions.
AI Weekly: 8 takeaways from NeurIPS 2018 After a weeklong whirlwind of talks, demonstrations, spotlight sessions, and posters, the Conference on Neural Information Processing Systems (NeurIPS) — one of the largest artificial intelligence (AI) and machine learning conferences of the year — is coming to a close, and it was a smashing success by any measure.
That’s all despite a bit of a preconference kerfuffle that led to the NeurIPS board changing the conference’s acronym from “NIPS,” which some attendees and sponsors had protested for its potentially offensive connotations.
IBM detailed two breakthrough AI training techniques — a digital method that’s up to 4 times faster than the previous state of the art and an analog chip with phase-change memory — that both retain 8-bit precision.
just came back from CASP13, the biennial assessment of protein structure prediction methods (I previously blogged about CASP10.) I participated in a panel on deep learning methods in protein structure prediction, as well as a predictor (more on that later.) If you keep tabs on science news, you may have heard that DeepMind’s debut went rather well.
“Mere public notice of their use is not sufficient, and there should be a high threshold for any consent, given the dangers of oppressive and continual mass surveillance.” South Wales Police, the Metropolitan Police in London and Leicestershire Police all use the technology but doubts have been cast over its reliability.
What Great Data Analysts Do — and Why Every Organization Needs Them The top trophy hire in data science is elusive, and it’s no surprise: a “full-stack” data scientist has mastery of machine learning, statistics, and analytics.
If your primary skill is analytics (or data-mining or business intelligence), chances are that your self-confidence has taken a beating as machine learning and statistics have become prized within companies, the job market, and the media.
The conglomerate is set to raise as much as 2.65 trillion Japanese yen ($23.5 billion) through the issuance of up to 1.76 billion shares at 1,500 yen ($13) apiece.
Hitachi Ups Game for Managing Unstructured Data Most enterprise data go unused, and according to some studies very little unstructured data in the form of text, audio and video makes its way into the hands of data analysts.
Hence, data integrators see an opportunity to combine their tools with object storage and hybrid cloud deployments to expand the data analytics ecosystem currently drowning in unstructured data generated by social media and other sources.
That’s the impetus behind the latest version of Hitachi’s year-old Vantara data integration unit, who’s Pentaho 8.2 release combines analytics software with its object storage platform to help data analysts get a handle on unstructured data.
Amobee Collaborates with Oracle Data Cloud to Activate Third-Party Data Across Programmatic and Social Media Platforms Amobee, a global digital marketing technology company serving brands and agencies, has expanded its collaboration with Oracle Data Cloud to become one of the first companies to activate third-party data across programmatic and social media through its platform, providing marketers seamless activation across digital channels.
Amobee unifies key programmatic channels—including major social media platforms, formats, and devices—to provide agencies and leading brands with advanced data management and media planning capabilities as well as actionable, real-time market research and proprietary audience data.
The collaboration allows marketers to access offline purchase-based transaction datasets through Oracle Data Cloud and activate them across social media and other digital programmatic media channels through Amobee, streamlining their digital ad buy.
Melissa Launches Suite of AI Solutions that Can Help Transform Clinical Data Melissa, a provider of global contact data quality and identity verification solutions, is releasing a suite of advanced artificial intelligence (AI) solutions that combine machine reasoning, natural language processing, and machine learning.
Melissa Informatics’ Sentient (MIS) solution is a new and unique set of clinical data quality and integration tools that turn diverse, dirty, and disconnected data into a clean, research-ready data resource.
“When you apply machine learning and machine reasoning to access, curate, and integrate this data, it becomes ready for rewarding new uses in patient care, precision medicine research, intellectual property, and unexpected new revenue.” 2018-12-04
The broad question up for discussion was how will traditionally active managers need to adapt their investment strategies as automated technologies continue to play a larger role in the trading life cycle.
I have been talking with bank executives for the last couple of years and it is exciting to hear that the banking industry has started to seriously consider artificial intelligence-based solutions for many traditional banking problems.
Anticipated Trends of Artificial Intelligence for 2019 Artificial intelligence has been shaping business performance through enhanced planning, improved advertisements, risk management, sensible analysis and faster delivery.
We’re going to see harmonization around a set of critical projects creating a comprehensive open source stack for AI, machine learning and deep learning.”2018-12-06 10:32:26+00:00 Read the full story.
“It’s important to take the time to understand what kinds of business outcomes you’re looking to drive, and what is the culture of your organization, both locally and globally.” Much of the information that’s generated, used, and managed in a data analytics project is tied directly to those business outcome measurements, Vel says.
These solutions, from both database and third-party vendors, allow DBAs to spend less time searching for bottlenecks, and more time doing more productive and creative work in support of strategic business goals.
AI and machine learning have entered the mainstream in the last couple of years. Here are some brief descriptions to help understand this landscape before exploring how these technologies can benefit DBAs: 2018-12-04 00:00:00 Read the full story.
Executives told software engineers to go back to the drawing board and re-train the artificial intelligence after Stanford University computer scientists spotted Google translating news articles written in Spanish and changing sentences about women talking to “he said”.
Trend-Setting Products in Data and Information Management for 2019 You can call it the new oil, or even the new electricity, but however it is described, it’s clear that data is now recognized as an essential fuel flowing through organizations and enabling never before seen opportunities.
Leading IT vendors are coming forward to help customers address the data-driven possibilities by improving self-service access, real-time insights, governance and security, collaboration, high availability, and more.
To help showcase these innovative products and services each year, Database Trends and Applications magazine looks for offerings that promise to help organizations derive greater benefit from their data, make decisions faster, and work smarter and more securely. 2018-12-05
Immuta Accelerates Enterprise Cloud Data Science Adoption, Reduces Risk “Immuta, the leading provider of enterprise data management solutions for artificial intelligence (AI), today unveiled new features that can dramatically reduce the cost and risk of running data science programs in the cloud.
However, as organizations move data science programs to the cloud, they often struggle to comply with stringent data privacy requirements, such as the EU General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), and therefore aren’t able to fully capitalize on the benefits of cloud economics.
Also, enterprises must create multiple copies of the data per policy, which in turn, also requires the creation of a separate Amazon Elastic MapReduce (EMR) cluster per user permission role – which dramatically increases cost and operational complexity.” 2018-12-05
Insurers identifying AI applications “across the value chain” The insurance market is fully embracing artificial intelligence (AI) in a bid to drive cost efficiencies, according to Craig Beattie, senior analyst at Celent, the research and advisory firm.
There are three key factors leading insurers to utilise AI, said Beattie, at FinTech Connect: “An increase in processing power, an increase in data availability – not just in surfacing data within the insurer, but also in absorbing external data, and also algorithm improvements.
The confluence of improvements in computer processing power, networking performance, and storage platforms has enabled a massive leap forward in the next phase of data insight;
Gartner Identifies Top 10 Trends for Infrastructure, Operations in 2019 As is its convention each year at this time, IT industry researcher and analyst Gartner has highlighted the key technologies and trends for which IT infrastructure and operations decision-makers must prepare in order to fully support new-gen digital infrastructure in 2019.
“The focus of I&O leaders is no longer to solely deliver engineering and operations, but instead to deliver products and services that support and enable an organization’s business strategy,” Gartner Senior Director and Analyst Ross Winser said.
“The question is already becoming: ‘How can we use capabilities like artificial intelligence (AI), network automation or edge computing to support rapidly growing infrastructures and accomplish business needs?’” During his presentation, Winser encouraged I&O leaders to prepare for the impacts of 10 key technologies and trends to support digital infrastructure in 2019. 2018-12-04
Cloudera Gives a Peek at Future ML Platform Cloudera continued its evolution away from Hadoop today by announcing a technical preview for Cloudera Machine Learning, its new data science and data engineering platform that’s based on Kubernetes, which enables it to run in the cloud and on premise.
Instead of taking the time to build and manage Hadoop clusters to store big data and run analytics on them, companies are turning to cloud providers like Amazon Web Services, who can offer cheap object storage and scalable compute resources.
The app uses the same underlying financial advice engine available to current Wealthfront clients, called Path, which can aggregate data from all financial accounts belonging to an individual, then analyze the data to advise on goals such as saving for a home, college or retirement.
Reportedly, at Japanese rice exchanges in the 17th century, which used rice stock analysis to describe the behavior of the stock market and make predictions about future trends and prices.
Results showing poor adaptability of RL algorithms to a problem suggests that either the algorithm itself is inefficient or it is the simulators not being diverse enough to induce interesting learned behaviours, and there are very few who concentrate on the latter.
In this article, we will be showcasing several state-of-the-art generic sentence embedding encoders, which tend to give surprisingly good performance especially on small amounts of data for transfer learning tasks as compared to word embedding models.
We will be covering the following models: We will try to cover essential concepts and also showcase some hands-on examples leveraging Python and Tensorflow, in a text classification problem focused on sentiment analysis! 2018-12-04
ACI Worldwide teams with BioCatch on behavioural biometrics ACI Worldwide (NASDAQ: ACIW), a leading global provider of real-time electronic payment and banking solutions, today announced a collaboration with BioCatch, the global leader in behavioural biometrics, to protect customers from online and mobile banking fraud such as account takeover.
In addition to machine learning and advanced analytics capabilities from ACI’s UP Payments Risk Management solution, banks around the world will now benefit from BioCatch’s real-time behavioural assessments to identify a wide range of cyber threats without disrupting the user experience. 2018-12-10
This research tries to understand how data analytics is becoming core to driving digital transformation for enterprises and makes an assessment of enterprise expectations in a world of endless possibilities with data.
This article will discuss the pros and cons of a national data privacy law, the challenges to creating a national privacy law, and how it would greatly benefit businesses. 2018-12-06
With the help of advanced analytic techniques, it is possible to take a close look at large and varied data sets so as to uncover hidden patterns or correlations.
How Farmer’s Fridge is revolutionizing breakfast, lunch and dinner with tech and data Five years ago, Farmer’s Fridge took the concept of the vending machine and turned it on its head — instead of potato chips and chocolate bars, healthy, seasonal and fresh food would be available to customers on demand.
Undoubtedly, tech has played a starring role in getting operable fridges at more than 200 locations across the Midwest, as the internet of things between the company, their fridges and consumers waiting to grab breakfast, lunch or dinner continues to become more efficient each day.
“Not only are we providing this as a service but we are providing a starter kit that a user can go in, select a particular deployment pattern, and use some of the prebuilt algorithms so they can do deeper analytics on their data much more quickly,” said Todd Blaschka, COO, TigerGraph.
The Wheelie 7, a motorized wheelchair allows people with greater mobility by helping them control it with simple facial expressions. The AI-powered wheelchair uses AI and a camera, without invasive body sensors, providing users with independence and control over their location.
The Wheelie 7 kit from HOOBOX Robotics is a great example of using AI to enable people with limited mobility to move around using natural facial movements.” Dr Paulo Pinheiro, co-founder and CEO of HOOBOX Robotics claims that the Wheelie 7 is the first product to use facial expressions to control a wheelchair.
To determine the best ingredients for each individual, Proven is relying on AI, aggregating data from 8 million consumer reviews, 100,000 skincare products, 20,000 ingredients and 4,000 academic journals.
Every year, consumers spend billions on skincare products that promise to reduce lines instantly, fade brown spots, improve firmness and elasticity and more.
Now beauty start-up Proven Skincare — launched in November by Harvard Business School grad Ming Zhao and computational physicist Amy Yuan — is aiming to curb all that frustration, rejecting the traditional one-size-fits-all miracle remedy and instead relying on artificial intelligence to develop data-driven skincare routines that are completely personalized and sent straight to your doorstep. 2018-12-07
But autonomous aircraft are only a fraction of the impact that advances in machine learning and other artificial intelligence (AI) technologies will have in aviation—the technologies’ reach could encompass nearly every aspect of the industry.
Whether companies are finding revolutionary ways to use data for personalized recommendations, like Netflix, or getting in trouble for illegally targeting users, like Facebook, big data is an integral element in optimizing efficiency.
However, if your company is ready to give their customers a better user experience while shopping for the besthomeowners insurance, or if you’re trying to save money in customer clothing returns, diving into a big data project isn’t going to be your saving grace.
These failures come from the lack of understanding in how to run a big data project, and in an interview with interview with TechRepublic, Heudecker sites company adoption as the sore spot, not the technology itself.
This data is created through searches, social media interactions, communication (email, texts, etc.), digital photos, digital services (Weather Channel, Uber, etc.), and the Internet of Things (voice devices, etc.).
Almost overnight we went from an era of struggling to do simple image recognition tasks (think: “hot dog, not hot dog”) to AIs powered by deep neural networks capable of understanding and describing complex scenes with more accuracy and speed than humans.
I spent the first 5 years of my career working on machine learning projects, and I often joke that those 5 years could today be replaced with 5 lines of Python package imports.
Don’t believe the hype: There’s nothing wrong with the space station robot CIMON, an AI-powered robot developed by IBM and Airbus, recently acted perfectly normal during interactions with human crew aboard the International Space Station (ISS).
If you own a smart speaker, interact with a virtual assistant, or have ever played Zork (okay, maybe not that one) you know exactly how it feels to interact with an ordinary chatbot – and there’s not exactly a chasm between IBM’s Watson and Amazon’s Alexa.
Liqid, Intel Optane Take Aim at DRAM with New Fabric Package New-gen IT infrastructure provider Liqid and old-school chipmaker Intel have combined forces to produce a new alternative, solid state-based storage memory fabric in an effort to dislodge conventional DRAM (dymanic random-access memory) and bring better efficiencies to data centers.
At the Gartner IT Infrastructure, Operations and Cloud Strategies Conference 2018, Liqid, which makes trendy composable disaggregated infrastructure (CDI) and NVMe (non-volatile memory) solutions, on Dec. 5 demonstrated its own and Intel’s Optane solid-state drive solutions that combine the performance of Intel Optane SSDs with Liqid’s new-gen PCIe fabrics to offer projected new levels of performance. 2018-12-05
We’re talking about huge, well-entrenched and wide-ranging systems in data centers run by government agencies, the military, multinational corporations, aircraft makers, oil and gas developers, scientific labs and others that are probably looking to retool their vast IT systems anyway.
The Journal of Cyber Security Technology published a study in 2017 titled “Comparison of machine-learning algorithms for classification of VPN network traffic flow using time-related features.” This provided a clear overview of machine learning algorithms used by various VPN networks and the value they provided.
As the country’s infrastructure ages, bridge inspections get even more important, but the work is expensive, time-consuming, and dangerous, requiring engineers to rappel down the side of a bridge hundreds of feet above a river.
“It’s collecting a series of images, and the second part is actually stitching these images to gather and recreate what you call a digital twin,” says Anil Nanduri, general manager of Intel’s drone group.
“Imagine you have a bridge over a river, but then you have an exact replica of it–you can zoom into the finest details, including a sub-centimeter level of detail, on your computer screen.” Current inspections are often done with pen and paper, so the data is difficult to share.
Barefoot Expands Reach With Tofino 2 Network Chips Barefoot Networks officials for the past couple of years have been driving programmability into networks through its Tofino Ethernet ASIC and the P4 programmable language to address the rising demand for more bandwidth and features to address new workloads like artificial intelligence and machine learning.
GPUs and digital signal processors have grown in importance to help systems better handle particular tasks, and now there are technologies like Tensor processing units to address AI workloads.
Morgan Stanley says market for self-flying cars could rise to $1.5 trillion by 2040 The market for autonomous flying cars — also known as eVTOL aircraft, air taxis or personal air vehicles — could amount to nearly $1.5 trillion by the year 2040, according to an in-depth analysis from Morgan Stanley Research.
The financial company’s 85-page report, distributed to clients this week, draws together data from a host of sources, including a private-public symposium on urban air mobility that was conducted last month in Seattle.
“We see the development of the UAM [urban air mobility] ecosystem as extremely long-dated and requiring up-front capital allocation, testing and development in the short term, with increasing visibility;” said Morgan Stanley’s research team, which includes senior analyst Adam Jonas. 2018-12-08
Trello acquires Butler, a tool for automating repetitive tasks Trello, a web-based project management app launched seven years ago by Frog Creek Software and later acquired by Atlassian for $425 million, is a powerful collaboration tool.
But now, after a year of testing and analysis by chess grandmasters, the machine has developed a new style of play unlike anything ever seen before, suggesting the programme is now improvising like a human. 2018-12-06
Of course it’s important to understand and grasp concepts before implementing them, but it’s always helpful when the ground work has been laid for you by top industry data scientists and researchers.
So far in our series of posts detailing object detection (links below), we’ve seen the various algorithms that are used, and how we can detect objects in an image and predict bounding boxes using algorithms of the R-CNN family.
With a data-first mentality, Tempus hopes to improve outcomes in the health care sector by collecting and pipelining a library of clinical and molecular data, and then shepherding it through a machine learning platform to help physicians draw insights for cancer patients across the country — including at premier hospital networks like the Mayo Clinic and Cleveland Clinic.
Just applying for the necessary permits can be a soul-crushing undertaking that’ll have you running around the city, filling out useless forms, and waiting in motionless lines under fluorescent lights at City Hall wondering whether you should have just moved back in with your parents.
And to actually get approval for those permits, your future home will have to satisfy a set of conditions that is a factorial of complex and conflicting federal, state and city building codes, separate sets of fire and energy requirements, and quasi-legal construction standards set by various independent agencies.
It wasn’t always this hard – remember when you’d hear people say “my grandparents built this house with their bare hands?” These proliferating rules have been among the main causes of the rapidly rising cost of housing in America and other developed nations.
The company provides an online marketplace for businesses wanting to find participants for qualitative market research, and also provides individuals with the opportunity to get paid for taking part in the research studies.
sales and sales growth in quartiles, rather than dollar sales or exact sales growth, as well as publicly available information, such as product descriptions, pricing and distribution.
Woolworths believes the proposed changes will give suppliers enough information to compare their performance against that of rival brands but not enough information to enable them to rush a copy-cat product to … 2018-12-10
Wall Street says Amazon and VMware are teaming up to take down Microsoft in the cloud wars Amazon’s annual cloud conference, AWS re:Invent, is a gargantuan spectacle of crowds, electronic dance music, and a seemingly never ending stream of new announcements.
- On 14. april 2021
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Interview with W.E.Loennig
of the Max Planck Institute fuer Zuchtungsforschung (retd). For links to his CV and publications: Used by permission ..