A shipwreck has been found from the time of Alexander the Great

But the matches these algorithms offer may be no better than picking partners at random, a study finds. Researchers asked about heterosexual undergrads at Northwestern University to fill out questionnaires assessing their personalities and romantic preferences. They were quizzed about things like self-esteem, goals, values, loneliness, what they were looking for in a partner, and how assertive or patient or creative they want the partner to be — and how much those things apply to them, says Samantha Joel, a psychologist at the University of Utah and lead author on the study , which was published last week in Psychological Science. The researchers then designed an algorithm to try to identify what personality traits or preferences led to the in-person attraction using part of the data from both the personality surveys and the speed dating. They also asked it to predict who in the group would be attracted to whom based solely on their questionnaire answers. The machine could figure out who the most desirable people in the bunch were based on certain characteristics like physical attractiveness, Joel says. But when it came to predicting which people would be a good fit for each other, the machine failed spectacularly. I thought we would be able to predict at least some portion of the variance — like extroverts or liberals like each other. If the results suggest that attributes psychologists would think attract certain people are effectively useless when it comes to making matches, then what is actually going on when two people are drawn to one another? That question has left Joel and other psychologists scratching their heads.

Dating app founder: Response rates go up 60% when your first message is like this

We came together to face threats no single individual could withstand. To make the world a safer place. Perhaps it was a simpler time.

Right By default, the POF app is set to notify you of all sorts of interactions, which got tiresome quickly.

After Koum and Acton left Yahoo! Fishman found a Russian developer on RentACoder. Koum named the app “WhatsApp” to sound like “what’s up”. On February 24, , he incorporated WhatsApp Inc. However, because early versions of WhatsApp often crashed or got stuck at a particular point, Koum felt like giving up and looking for a new job, upon which Acton encouraged him to wait for a “few more months”. Koum changed WhatsApp so that when a user’s status is changed, everyone in the user’s network would be notified.

Acton was still unemployed and managing another startup, and he decided to join the company. He officially joined on November 1.

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My cat used to drink from the garden pond and never seemed to suffer any ill effects, and you often see dogs drinking from muddy puddles. So why do humans have to be so careful and only drink clean water? Will it form sediment that gets buried beneath the seabed and eventually turns into plastic “oil” or “coal”? I had previously suspected that some tadpoles are late undergoing metamorphosis, but this one really missed the boat. Is this a recognised phenomenon, and what is the explanation?

Is there an accepted ratio or does it vary, and if so by how much?

Jocasta just asked me where I’d be without the Avengers.

Help NOAA predict, observe and protect our changing planet by making your own contributions toward a greater understanding of our Earth and its diverse systems. We work with a diverse set of partners to coordinate the citizen science opportunities we offer. The National Weather Service provides training, equipment, and additional support through equipment maintenance and site visits.

PING volunteers can spend a little or a lot of time making and recording ground truth observations using the PING project website or mobile phone app. NOAA also needs your help in analyzing historic weather and other environmental data: The existing global intensity record contains uncertainties caused by differences in analysis procedures around the world and through time. Scientists need help because patterns in storm imagery are best recognized by the human eye. After many people review the same image online, scientists will use their feedback to come up with a new global tropical cyclone dataset that will provide 3-hourly tropical cyclone intensity estimates, confidence intervals, and a wealth of other metadata that could not be realistically obtained in any other fashion.

Old Weather Arctic Project:

Dating app founder: Response rates go up 60% when your first message is like this

Share on Messenger Close A July study revealed that Tinder users are excessively willing to disclose information without realising it. I recall a few of them very well: But Tinder has not. The dating app has pages of information on me, and probably on you too if you are also one of its 50 million users. In March I asked Tinder to grant me access to my personal data.

Chat-based interfaces are increasingly common, whether as customers interacting with companies or as employees communicating with each other within an organization.

Using the wrong dating app? The answer may surprise you. You might think Tinder is your best bet, but new data shows you might actually have better luck elsewhere. A new study from Luminoso , a company spun off from the MIT Media Lab, has figured out which dating apps are most likely to get you laid, help you find love and more. To do this, they used natural language understanding, a type of AI, to analyze more than , reviews of 16 of the biggest dating apps.

The results are especially interesting since it can be tricky to assess these kinds of things. That means they can capture lots of relevant phrases and even allusions to get to the heart of what users think about different apps.

Buy Analogue: A Hate Story

And science backs that reputation up: According to one study , Match. It does a decent job, but not an outstanding one. But without the full sophistication of that algorithm, it often matched our tester with people based on meaningless similarities:

Help NOAA predict, observe and protect our changing planet by making your own contributions toward a greater understanding of our Earth and its diverse systems.

Her research interests are in the areas of large-scale machine learning, non-convex optimization and high-dimensional statistics. In particular, she has been spearheading the development and analysis of tensor algorithms. She is the recipient of several awards such as the Alfred. She received her B. She was a postdoctoral researcher at MIT from to , an assistant professor at U.

Irvine between and , and a visiting researcher at Microsoft Research New England in and

A shipwreck has been found from the time of Alexander the Great

At Uber, probabilistic time series forecasting is essential for accurate hardware capacity predictions, marketing spend allocations, and real-time system outage detection across millions of metrics.

When It Comes To Romantic Attraction, Real Life Beats Questionnaires

Also, what is the minimum capillary diameter through which blood could be sucked?

Professor Heinz Wolff, scientist and television personality – obituary

WhatsApp currently does not allow audio or video calling from desktop operating systems.

Inside OKCupid: The math of online dating – Christian Rudder