Joseph Mount, the founder of Metronomy, performs on the stage of the 9:30 Club in Washington, D.C. on Jan. 31, 2020. (Julia Nikhinson/The Diamondback)

As someone who was up since 7:30 a.m. and had just completed her first week back to school, I wasnt ecstatic when I realized Metronomy wouldnt be onstage until 11:30 p.m. last Friday.

But then, after two spirited songs, Joe Mount, frontman of the UK-based band, revealed to the crowd that they, too, were tired! The bands concert at the 9:30 Club was their first show on their U.S. tour, so jet lag was still a major concern.

Mount asked if any of us had ever woken up at 5 a.m. and launched straight into performing a show. I have not, but apparently its weird as fuck. And Im not going to lie to you, the concert was a bit weird.

Metronomys music is not exactly relaxing, especially when performed live, but there is a hypnotic element to their rhythmic electronic pop. Though not low-energy, the band did exude a level of chill that felt easy to match. And their simple set a fabric backdrop and some colorful light strips and frequent instrumental breaks made it easy for me to zone out and simply *vibe.*

Several moments, however, did break me out of my reverie. At one point, I got on my tiptoes to peer over the shoulder of the 6-foot man in front of me and realized three-fifths of the band had left the stage the only people left were the two keyboardists and, carried by robotic platforms, they were slowly meeting in the middle of the stage. What came next was a strangely captivating duelling keyboard performance of their instrumental track Boy Racers.

[Read more: Review: Keshas High Road is going to get me through the year]

In another compelling moment, all five band members raised their hands and heads to the sky and vocalized into the ceiling their haunting harmonies, combined with their all-white, astronaut-esque outfits, had me convinced I was about to be abducted by aliens. But what came next, a version of their hit Salted Caramel Ice Cream, brought me back down to Earth.

In their 21 years, Metronomy has amassed quite a discography, and while this concert highlighted their newest album, Metronomy Forever, they still took the opportunity to play some of their bigger hits like The Look and The Bay two of my favorites off 2011s The English Riviera.

Mount broke from his zen performer-mode several times to banter with the audience, joking about everything from the sarcastic slant of British accents to the fact that he needed to take a break to catch his breath.

After thanking the audience for being willing to come out to the late show, the band launched into the end of their set with Sex Emoji. It was one of their most energetic renditions, complete with flashing yellow beams of light, a distinct change from the calm blues and purples of the rest of the night.

Ending on such a banger was a good strategic move. Though we aIl left the venue so late we outlasted the Metro, Sex Emoji left me energized enough to get through my Lyft ride home. And, when I finally got into bed, I turned on some Metronomy to lull me to sleep.

[Read more: Popeyes new clothing line looks a lot like Beyoncs]

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Review: A jet-lagged Metronomy hypnotized crowds at the 9:30 Club - The Diamondback

"Have you ever been hypnotised before?" she asked while scribbling on a clipboard. No I hadn't. "...It's not like TV at all. Its not going to be like that."

I stopped looking around the room for a stack of pendulums or giant black and white vortex coins.

"Well I guess you've done a lot of reading about it?"

No. I hadn't done that either. I feel that hypnotism works if you want it to work and I wasn't about to do a stack of research that might turn me into a sceptic. I really wanted this to work.

I sit back on a long black recliner lounge. The type you imagine in a stereotypical therapist's office. I notice a waste paper bin next to me filled with half-full packets of cigarettes. Most of them were my favourite brand. What a waste, I couldn't help but think...

"So you're here because you're a smoker?"

Like most smokers, I've always thought about quitting and always wanted to. I've tried to give up several times with varying levels of success. Once I managed to kick the habit for four months. The last time I tried, I lasted a painful 26 hours. I've tried the unpleasant nicotine gum and the absolutely foul nicotine mints. I've tried switching to fancy electronic cigarettes. I've tried gritting my teeth and going cold turkey. Nothing has worked.

Then I heard that being hypnotised might help to axe the addiction. A friend had told me that his uncle tried it and went from being a pack-a-day smoker to a non-smoker overnight. Another friend told me his room-mate tried it and it made no difference.

At this point, hypnotism was the only thing I could see that I hadn't tried. So despite the mixed reviews and the $500 (Australian!) price tag, I booked an appointment. I found a practice that has a load of success stories and also has a lifetime guarantee meaning that if I ever start smoking again I can go back for free. That inspired a bit of confidence.

My hypnotist had the type of strong but soothing voice you'd expect from someone who works in hypnotism or neuro-linguistic programming. Right from our preliminary planning and assessment session, her voice was relaxing.

"Youre quite young to have been smoking for 10 years. How did that start?"

I started smoking when I was 14 years old. Sometimes on the weekends I used to hang out in reserves and carparks with my friends and have one or two cigarettes. It seemed grown up and cool but harmless. One or two cigarettes in a week wouldn't hurt.

But by the time I was 20 I could no longer hide behind comforting labels like "social smoker" or "occasional smoker". I was smoking five cigarettes a day plus a whole packet on Friday nights and another whole packet on Saturday nights.

"When you smoked your first few cigarettes that probably didn't feel so good but it was off-set massively by those other good internal feelings that we get. That feeling of belonging and rebellion. They're very strong feelings in our subconscious and then we want to repeat those feelings."

Id never thought of it like that. Id always assumed cigarette addictions were to do with a chemical dependency on nicotine. Id never given a thought to the possibility that I was psychologically addicted. It was an insight I hadn't expected.

"If cigarettes have become positively associated for you, every time you feel a negative your body tries to move away from that. Your brain will ask 'what can I do to feel good? Oh yeah, smoking.' That suggestion becomes almost impossible to ignore."

When it was time for the session to begin, she turned on a soundtrack of soothing music. The kind you hear in elevators.

"Hypnotism just feels like a relaxed state like when you're falling asleep at night and your body relaxes and your mind starts to wander."

The music transitioned into a montage of waves breaking on the shore.

"All I need you to do is two things, the first thing is just relax and the second thing is just agree with the suggestions. You can do that, can't you?"

I nodded, feeling nervous.

Smoking metaphor image courtesy Shutterstock.

"Were going to get down here, to the unconscious mind to change your positive associations. Were going to change the way you feel about smoking."

We started with breathing exercises. She asked me to take five deep and measured breaths. I already was feeling very relaxed.

She spoke deeply and slowly as she guided me through a series of images and imagery exercises designed to relax the brain. I followed a leaf blowing in the wind. I stood at the top of spiral staircase and walked down it slowly.

"If you have any errant thoughts, just let them drift away."

I tried to throw away the thought that a cigarette would go down beautifully right about now.

The rest was a little fuzzy. I drifted in and out of consciousness. At times I was very alert and aware of my surroundings. There are also periods of blankness. But I remember feeling very relaxed, almost like I was floating.

She often pulled me back into consciousness by asking questions I had to answer.

"You see a door. What colour is it Mia?"

Red.

"Does the door open inwards or outwards?"

Outwards.

"Visualise it. Can you do that?"

Yes.

When it was time for me to wake up, she simply counted backwards from ten and told me to open my eyes. I was surprised to feel tears on my face and that a whole hour had passed it felt like ten minutes. And I didn't remember crying.

As I sat up, she asked me to open my purse and throw my cigarettes in the waste paper bin with all the other rejected packets. I did.

As I was walking out of the office, I assessed myself and tried to see if I felt any different. I drove home in a sort of trance wondering if it had worked or not. It was too early to tell. Although I later realised that I forgot to have my standard car cigarette. It was a good sign.

It's been a month now. Has it stopped me smoking? Well, no it hasn't. I had a cigarette the day after my session. I was a little disappointed. The session definitely did not deliver on all of its promises.

The mental shift and positive reassociation that is promised by neuro-linguistic programming doesn't appear to have worked on me. I still desperately crave cigarettes when I'm bored, hungry or sad. Something that was supposed to have disappeared.

On the upside I do feel a lot more motivated to quit and my attitude has definitely changed. Her explanation and breakdown of the levels of smoking addiction changed my perspective entirely.

Previously, the thought of going a whole day without cigarettes made me feel anxious and shaky but now that thought makes me feel empowered. Every cigarette I dont have feels like a win instead of feeling like I'm being deprived.

The reason I turned to a hypnotist in the first place is because the mere thought of quitting was just too hard. Every time I pondered quitting, the thought would make me so anxious that I reached for a cigarette to calm my nerves.

I dont feel like the habit or the addiction is gone. But I'm certainly viewing it in a completely different way. Whether or not that is simply a placebo effect I can't begin to tell.

This experience has opened my eyes to the fact that my smoking addiction is psychological not just physiological and habitual.

Smoking is a choice I've been making. It's not a compulsion that I have no control over. It's something I can and will take responsibility for.

Contact Quitline for more information on how to get help with quitting cigarettes.

This story has been updated since its original publication.

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When it comes to the NBN, we know that plans and providers are not all equal. Despite standard speed tiers, performance can vary a lot, especially during the evening peak times.

"Have you ever been hypnotised before?" she asked while scribbling on a clipboard. No I hadn't. "...It's not like TV at all. Its not going to be like that."

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I Went To Hypnotherapy To Try To Quit Smoking - Lifehacker Australia

1. Get Rid of All Electronics from The Bedroom

Most electronic devices (with screens on them) produce blue light, hence they are not recommended in the bedroom. Although you may be aware of this, the blue light produced by these gadgets hinders the production of sleep hormones, hence could affect your sleep patterns. E-readers, laptops, tablets, game consoles, and cellphones shouldnt be allowed in the bedroom.

In addition to kicking out all the electronic devices from the bedroom (computers and TVs included), you might also have to adjust the position of the alarm clock as well. This is particularly important for digital alarm clocks as they produce distractive light as well. Make sure the alarm clock faces away from you as well. This should help eliminate anxiety related to gazing at the watch when you should be trying to sleep. Having the clock face away from you also reduces the risk of anxiety, and particularly if you tend to worry about why you arent drifting off. Make sure the alarm clock is as far away from the bed and your reach as possible. This should prevent you from snoozing the alarm when it goes off in the morning.

We all know how disrupting artificial light can be, and especially when trying to get some sleep. Natural light too can be as distracting, which is why you not only need to keep electronic devices out but also keep the light out as well. You may have to switch to blackout blinds or heavy curtains to block the light, and also remove night lights from the bedroom as well. Always remember to turn the lamp off before drifting off.

If you cannot part ways with your cellphone at night, then consider putting it in silent mode, then flip it over with screen-side down immediately after going to bed. Most phones will light up if theres email notification, incoming text, or push notifications. Keeping the phone flipped over reduces the chances of seeing the screen come to life, hence sleep without any disruptions/distractions.

Any form of noise can disrupt you from sleep. Noise can make it hard for one to drift to sleep, or even stay asleep, one of the reasons you need to ensure your bedroom is as comfortable and quiet as possible. A calm and quiet bedroom makes it easy to sleep like a baby. Soundproofing the room might be the only viable option if the noises are coming from the traffic outside, or a noisy neighbor down the street.

You could also try investing in a sound machine. The sound machine produces mellow and soothing sounds that help mask noises coming from the outside. The soft, soothing sounds produced makes it easy for the brain to relax, helping you drift to dreamland.

Listening to your favorite, but relaxing music can also help you fall asleep. You, however, need to ensure the volume isnt too loud and also have a timer to help set it off after you have fallen asleep. Although it might be relaxing to drift off to sleep with your favorite jams playing in the background, you dont want to wake up in the middle of the night to blaring sounds of the same music. Have a timer turn it off as soon as you are asleep to avoid disruptions.

Your body temperature will drop naturally as you drift into a deep sleep. Setting the bedroom temperature a few degrees lower than in other rooms can help the body cool off as well. Experts recommend between 60 and 67 degrees in bedrooms for better sleep.

Sleeping naked also makes it easier for the temperature to drop down, and also eliminates the discomfort that comes with sleeping in pajamas or nightgowns. Sleeping naked is fulfilling too. Your mattress can help you keep cool, many mattresses now have breathable materials that help you to regulate your temperature while you sleep. Take a look at these Ikea mattress reviews.

Introducing certain scents in the bedroom creates a calming and relaxing atmosphere, excellent for winding down and sleep. These scents will train the brain to enter into relaxation and sleep mode as soon as they hit your nostrils, hence recommended. Some of the best scents to try in the bedroom include vanilla, rosemary, and lavender.

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Why does hair loss and thinning occur? - The Hear UP

You may have tried meditation, pledged a week of your life to hot yoga and even scheduled regular massage appointments - and yet the chase to lock down your Zen may have proven elusive.

Before you think there is something wrong with you, try these alternative therapies instead.

Best for: A weekly tune in and up

Scoff all you want, but paying someone to hit a gong and bathe you in all that theta goodness can do loads to steady the nerves.

Sessions start with pranayama (breathing exercises) before the gong meditation portion kicks in, and while reactions vary from emerging relaxed to being visibly more emotional, the common denominator seems to be a deeper sleep experienced for the following 48 hours. Regular sessions are held weekly at House of Ascend (www.houseofascend.com).

Best for: Individuals who aren't claustrophobic

Going further than the standard 60-minute bliss-inducing float, a sound meditation segment is added in post-float using ambient and instrumental music composed by sound curator Jean Tay.

The original pieces composed from her own 3-D field recordings have been designed to trigger the vibrations experienced by one's own body by test oscillators in the music software.

If done right, it will facilitate a deeper dive into one's consciousness which then kick-starts the meditative experience. Longer term, the aim is to break up stress patterns for a heightened state of relaxation.

Check it out at Palm Ave Float Club (Tel: 9151-6004, http://www.palmavefloatclub.com).

Best for: The emotionally repressed

This Taoist healing modality uses careful, targeted massage movements blending Chinese and Thai massage.

A trained therapist will manipulate and manoeuvre the abdomen to detoxify and strengthen internal organs to improve digestion and boost the immune system, ultimately restoring balance to the entire body.

Try it at Therapeutics Aroma (Tel: 6737-7039, http://www.therapeuticsaroma.com).

Best for: Anyone looking for a gentle form of self care

Working off the concept of harmonising the body through the gentle touch of one's fingers, Jin Shin Jyutsu sees practitioners use their hands to respond to one's pulse and support re-balancing its harmonious flow through 52 main points on the body.

Depending on one's sensitivities, you may feel some sensations (a warm heat, an involuntary twitch) during the treatment. Post-treatment, it is not unusual to feel a bit lightheaded and a sense of tranquil calm.

Longer term, it works to bring relief to chronic internal imbalances. Book a session at Terra Luna Yoga (Tel: 9658-3611, http://www.terralunayoga.com).

Best for: Expectant mums and anyone feeling overwhelmed by stress

There will never be a more relaxing time than in one's mother's womb. Watsu (or aqua) therapy aims to re-create that weightless feeling to address issues such as insomnia and muscle tension to bring on a deep relaxation state.

Developed by Harold Dull in 1980, it combines water-based shiatsu massage with the stretching of one's meridians (energy channels) to stimulate the flow of energy.

Props like leg floats ensure you are not sinking under, plus it takes place in a heated pool.

Post-therapy, expect to feel a sense of deep relaxation or even a spontaneous release of emotions, almost as if you've had a good cry.

It is offered at Inspire Mum & Baby Fitness, Birth and Swimming Centre (Tel: 9234-1866, http://www.inspiremumbaby.com).

Best for: Children and trauma recoveries

This is another form of light touch bodywork, where no more than 5g of pressure is exerted. While Carniosacral Therapy remains classed under alternative modalities, its effectiveness is the real deal.

Using gentle touch to palpate the synarthrodial joints of the cranium, spine and pelvic bone, a trained therapist releases embedded tension in the soft tissues that surround the central nervous system.

In layman's terms, what you may feel is a knot releasing or even a tense muscle relaxing after just one treatment. It is available at Ozworks Therapy (Tel: 6836-4560, http://www.ozworkstherapy.com).

This article was first published in Shape (www.shape.com.sg).

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New age healing therapies to try besides meditation - The New Paper

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.

Machine learning algorithms are often categorized as supervised or unsupervised.

Machine learning enables analysis of massive quantities of data. While it generally delivers faster, more accurate results in order to identify profitable opportunities or dangerous risks, it may also require additional time and resources to train it properly. Combining machine learning with AI and cognitive technologies can make it even more effective in processing large volumes of information.

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What is Machine Learning? A definition - Expert System

TURIN, Italy--(BUSINESS WIRE)--The European Central Bank (ECB), in collaboration with Reply, leader in digital technology innovation, is organising the Supervisory Data Hackathon, a coding marathon focussing on the application of Machine Learning and Artificial Intelligence.

From 27 to 29 February 2020, at the ECB in Frankfurt, more than 80 participants from the ECB, Reply and further companies explore possibilities to gain deeper and faster insights into the large amount of supervisory data gathered by the ECB from financial institutions through regular financial reporting for risk analysis. The coding marathon provides a protected space to co-creatively develop new ideas and prototype solutions based on Artificial Intelligence within a short timeframe.

Ahead of the event, participants submit projects in the areas of data quality, interlinkages in supervisory reporting and risk indicators. The most promising submissions will be worked on for 48 hours during the event by the multidisciplinary teams composed of members from the ECB, Reply and other companies.

Reply has proven its Artificial Intelligence and Machine Learning capabilities with numerous projects in various industries and combines this technological expertise with in-depth knowledge of the financial services industry and its regulatory environment.

Coding marathons using the latest technologies are a substantial element in Replys toolset for sparking innovation through training and knowledge transfer internally and with clients and partners.

Reply Reply [MTA, STAR: REY] specialises in the design and implementation of solutions based on new communication channels and digital media. As a network of highly specialised companies, Reply defines and develops business models enabled by the new models of big data, cloud computing, digital media and the internet of things. Reply delivers consulting, system integration and digital services to organisations across the telecom and media; industry and services; banking and insurance; and public sectors. http://www.reply.com

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REPLY: European Central Bank Explores the Possibilities of Machine Learning With a Coding Marathon Organised by Reply - Business Wire

Speechmatics and Soho2 have today announced their partnership to deliver consulting services to their customers, and a new product offering Speech2.

Soho2 has significant depth in delivering machine-learning driven solutions to market. The new product from Soho2 will give companies in legal, compliance and contact centers the invaluable ability to analyze voice data garnered from calls. Speech2 enables companies to bring new levels of flexibility to data analysis for high-volume, real time or recorded voice data through mission-critical, accurate speech recognition.

Using AI and machine learning, the solution will deliver an unparalleled ability to derive insight from voice data and also manage risk. The product can be deployed in any customer-managed environment to enable control over personal or sensitive data to be retained.

As part of the new product offering, Speechmatics - a UK leader in any context speech recognition technology - will transcribe voice data into accurate, contextual understanding for analysis. Speech2 will allow businesses to identify and address risks, as well as pinpoint missing sales opportunities. The product can also identify cases of fraud, while the legal industry can identify risks with the data, and even aid with event reconstruction.

George Tziahanas, Managing Partner of Soho2, said: Our experience demonstrates the potential for great innovation in machine learning, delivering huge commercial value to enterprises across industries. We teamed up with Speechmatics to ensure our latest services and product deliver the best speech recognition technology on the market. The partnership enables us to innovate with voice securely which is crucial to our customers and industries.

Jeff Palmer, VP of Sales at Speechmatics, added: Speech2 will deliver unparalleled insights and risk management abilities, using Speechmatics any-context speech recognition engine. Soho2 also brings depth in services that deliver high-value machine learning solutions, which will benefit their customer-base. Were excited to be working with Soho2 and seeing how their customers derive value from their voice data and view it with a renewed sense of curiosity.

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Speechmatics and Soho2 apply machine learning to analyse voice data - Finextra

Social media can send up an early warning sign of illness, and data analysis can predict how it will spread.

The coronavirus illness (nCoV) is now an international public health emergency, bigger than the SARS outbreak of 2003. Unlike SARS, this time around scientists have better genome sequencing, machine learning, and predictive analysis tools to understand and monitor the outbreak.

During the SARS outbreak, it took five months for scientists to sequence the virus's genome. However, the first 2019-nCoV case was reported in December, and scientists had the genome sequenced by January 10, only a month later.

Researchers have been using mapping tools to track the spread of disease for several years. Ten European countries started Influenza Net in 2003 to track flu symptoms as reported by individuals, and the American version, Flu Near You, started a similar service in 2011.

Lauren Gardner, a civil engineering professor at Johns Hopkins and the co-director of the Center for Systems Science and Engineering, led the effort to launch a real-time map of the spread of the 2019-nCoV. The site displays statistics about deaths and confirmed cases of coronavirus on a worldwide map.

Este Geraghty, MD, MS, MPH, GISP, and chief medical officer and health solutions director at Esri, said that since the SARS outbreak in 2003 there has been a revolution in applied geography through web-based tools.

"Now as we deploy these tools to protect human lives, we can ingest real-time data and display results in interactive dashboards like the coronavirus dashboard built by Johns Hopkins University using ArcGIS," she said.

SEE:The top 10 languages for machine learning hosted on GitHub (free PDF)

With this outbreak, scientists have another source of data that did not exist in 2003: Twitter and Facebook. In 2014, Chicago's Department of Innovation and Technology built an algorithm that used social media mining and illness prediction technologies to target restaurants inspections. It worked: The algorithm found violations about 7.5 days before the normal inspection routine did.

Theresa Do, MPH, leader of the Federal Healthcare Advisory and Solutions team at SAS, said that social media can be used as an early indicator that something is going on.

"When you're thinking on a world stage, a lot of times they don't have a lot of these technological advances, but what they do have is cell phones, so they may be tweeting out 'My whole village is sick, something's going on here,' she said.

Do said an analysis of social media posts can be combined with other data sources to predict who is most likely to develop illnesses like the coronavirus illness.

"You can use social media as a source but then validate it against other data sources," she said. "It's not always generalizable (is generalizable a word?), but it can be a sentinel source."

Do said predictive analytics has made significant advances since 2003, including refining the ability to combine multiple data sources. For example, algorithms can look at names on plane tickets and compare that information with data from other sources to predict who has been traveling to certain areas.

"Algorithms can allow you to say 'with some likelihood' it's likely to be the same person," she said.

The current challenge is identifying gaps in the data. She said that researchers have to balance between the need for real-time data and privacy concerns.

"If you think about the different smartwatches that people wear, you can tell if people are active or not and use that as part of your model, but people aren't always willing to share that because then you can track where someone is at all times," she said.

Do said that the coronavirus outbreak resembles the SARS outbreak, but that governments are sharing data more openly this time.

"We may be getting a lot more positives than they're revealing and that plays a role in how we build the models," she said. "A country doesn't want to be looked at as having the most cases but that is how you save lives."

Get expert tips on mastering the fundamentals of big data analytics, and keep up with the latest developments in artificial intelligence. Delivered Mondays

This map from Johns Hopkins shows reported cases of 2019-nCoV as of January 30, 2020 at 9:30 pm. The yellow line in the graph is cases outside of China while the orange line shows reported cases inside the country.

Image: 2019-nCoV Global Cases by Johns Hopkins Center for Systems Science and Engineering

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Combating the coronavirus with Twitter, data mining, and machine learning - TechRepublic

By: Casey Ross, National Technology Correspondent, StatNews.com

Surveillance data collected by healthmap.org show confirmed cases of the new coronavirus in China.

Artificial intelligence is not going to stop the new coronavirus or replace the role of expert epidemiologists. But for the first time in a global outbreak, it is becoming a useful tool in efforts to monitor and respond to the crisis, according to health data specialists.

In prior outbreaks, AI offered limited value, because of a shortage of data needed to provide updates quickly. But in recent days, millions of posts about coronavirus on social media and news sites are allowing algorithms to generate near-real-time information for public health officials tracking its spread.

The field has evolved dramatically, said John Brownstein, a computational epidemiologist at Boston Childrens Hospital who operates a public health surveillance site called healthmap.org that uses AI to analyze data from government reports, social media, news sites, and other sources.

During SARS, there was not a huge amount of information coming out of China, he said, referring to a 2003 outbreak of an earlier coronavirus that emerged from China, infecting more than 8,000 people and killing nearly 800. Now, were constantly mining news and social media.

Brownstein stressed that his AI is not meant to replace the information-gathering work of public health leaders, but to supplement their efforts by compiling and filtering information to help them make decisions in rapidly changing situations.

We use machine learning to scrape all the information, classify it, tag it, and filter it and then that information gets pushed to our colleagues at WHO that are looking at this information all day and making assessments, Brownstein said. There is still the challenge of parsing whether some of that information is meaningful or not.

These AI surveillance tools have been available in public health for more than a decade, but the recent advances in machine learning, combined with greater data availability, are making them much more powerful. They are also enabling uses that stretch beyond baseline surveillance, to help officials more accurately predict how far and how fast outbreaks will spread, and which types of people are most likely to be affected.

Machine learning is very good at identifying patterns in the data, such as risk factors that might identify zip codes or cohorts of people that are connected to the virus, said Don Woodlock, a vice president at InterSystems, a global vendor of electronic health records that is helping providers in China analyze data on coronavirus patients.

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In Coronavirus Response, AI is Becoming a Useful Tool in a Global Outbreak - Machine Learning Times - machine learning & data science news - The...

Dublin, Feb. 04, 2020 (GLOBE NEWSWIRE) -- The "Reinforcement Learning: An Introduction to the Technology" report has been added to ResearchAndMarkets.com's offering.

These days, machine learning (ML), which is a subset of computer science, is one of the most rapidly growing fields in the technology world. It is considered to be a core field for implementing artificial intelligence (AI) and data science.

The adoption of data-intensive machine learning methods like reinforcement learning is playing a major role in decision-making across various industries such as healthcare, education, manufacturing, policing, financial modeling and marketing. The growing demand for more complex machine working is driving the demand for learning-based methods in the ML field. Reinforcement learning also presents a unique opportunity to address the dynamic behavior of systems.

This study was conducted in order to understand the current state of reinforcement learning and track its adoption along various verticals, and it seeks to put forth ways to fully exploit the benefits of this technology. This study will serve as a guide and benchmark for technology vendors, manufacturers of the hardware that supports AI, as well as the end-users who will finally use this technology. Decisionmakers will find the information useful in developing business strategies and in identifying areas for research and development.

The report includes:

Key Topics Covered

Chapter 1 Reinforcement Learning

Chapter 2 Bibliography

List of Tables Table 1: Reinforcement Learning vs. Supervised Learning vs. Unsupervised Learning Table 2: Global Machine Learning Market, by Region, Through 2024

List of Figures Figure 1: Reinforcement Learning Process Figure 2: Reinforcement Learning Workflow Figure 3: Artificial Intelligence vs. Machine Learning vs. Reinforcement Learning Figure 4: Machine Learning Applications Figure 5: Types of Machine Learning Figure 6: Reinforcement Learning Market Dynamics Figure 7: Global Machine Learning Market, by Region, 2018-2024

For more information about this report visit https://www.researchandmarkets.com/r/g0ad2f

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

CONTACT: ResearchAndMarkets.com Laura Wood, Senior Press Manager press@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470 For U.S./CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

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Reinforcement Learning (RL) Market Report & Framework, 2020: An Introduction to the Technology - Yahoo Finance