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Día Internacional de la Mujer 2011.

Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" ¡Visita la página de Madres Solas Aquí! More »

Entrega de Silla de Ruedas.

Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" Visita la página de Madres Solas Aquí. More »

Compartiendo con nuestras socias y socios de la tercera edad de Molino Abajo, Temoaya, Estado de México.

Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" Visita la página de Madres Solas Aquí. More »

Visita la página de “Código Ayuda A.C.” Aquí

Entrega de Reconocimiento por la AMS a la labor de Gabriela Goldsmith Presidenta de \\\"Código Ayuda A.C.” More »

Día de la Niñez 2011 con nuestras socias y socios de San Lorenzo Tepaltitlán, Toluca, Estado de México.

Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" Visita la página de Madres Solas Aquí. More »

Entrega de Silla de Ruedas.

Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" Visita la página de Madres Solas Aquí. More »

“Yo Me Declaro Defensor” de los Defensores de Derechos Humanos

Participación en la campaña “Yo Me Declaro Defensor” de los Defensores de Derechos Humanos por la Alta Comisionada de los Derechos Humanos de la ONU Navy Pillay. More »

Entrega de Reconocimiento al Lic. Enrique Peña Nieto por su apoyo como gobernador a los grupos vulnerables de nuestra Asociación.

Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" Visita la página de Madres Solas Aquí. More »

Compartiendo con nuestras socias y socios de la tercera edad en Molino Abajo, Temoaya, Estado de México.

Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" ¡Visita la página de Madres Solas Aquí! More »

Compartiendo con nuestras socias y socios de la tercera edad en Molino Abajo, Temoaya, Estado de México.

Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" ¡Visita la página de Madres Solas Aquí! More »

Compartiendo con nuestras socias y socios de la tercera edad en Molino Abajo, Temoaya, Estado de México.

Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" ¡Visita la página de Madres Solas Aquí! More »

Compartiendo con nuestras socias y socios de la tercera edad en Molino Abajo, Temoaya, Estado de México.

Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" ¡Visita la página de Madres Solas Aquí! More »

Thelma Dorantes Autora y Actriz principal de la obra de Teatro \\

Visita de Thelma Dorantes a las oficina de la Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" en Toluca, Estado de México. More »

Thelma Dorantes Autora y Actriz principal de la obra de Teatro \\

Visita de Thelma Dorantes a las oficina de la Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" en Toluca, Estado de México. More »

Thelma Dorantes Autora y Actriz principal de la obra de Teatro \\

Visita de Thelma Dorantes a las oficina de la Asociación de Madres Solteras y Grupos Vulnerables para el Desarrollo Social \\\"Por un Trato más digno Yo Madre Soltera Aquí Estoy A.C.\\\" en Toluca, Estado de México. More »

Premio Nacional del Trabajo 2012.

Entrega a los trabajadores de la Dirección de Organización y Desarrollo Administrativo de la Universidad Autónoma del Estado de México del Premio Nacional del Trabajo 2012 por la Secretaría de Trabajo y Previsión Social del Gobierno de México. More »

 

Category Archives: Noticias

Google crunches data to help NASA find two new planets

SAN FRANCISCO (Reuters) – Alphabet Inc’s Google and NASA said on Thursday that advanced computer analysis identified two new planets around distant stars, including one that is part of the first star system with as many planets as Earth’s solar system.

FILE PHOTO: The Google logo is shown reflected on an adjacent office building in Irvine, California, U.S. August 7, 2017. REUTERS/Mike Blake/File Photo

The research by Google and the University of Texas at Austin that used data from NASA raised the prospects of new insights into the universe by feeding data into computer programs that can churn through information faster and more in-depth than humanly possibly, a technique known as machine learning.

In this case, software learned differences between planets and other objects by analyzing thousands of data points, achieving 96 percent accuracy, NASA said at a news conference.

The data came from the Kepler telescope which NASA launched into space in 2009 as part of a planet-finding mission that is expected to end next year as the spacecraft runs out of fuel.

The software’s artificial “neural network” combed through data about 670 stars, which led to the discovery of planets Kepler 80g and Kepler 90i. The latter, a scorching, rocky mass 30 percent larger than Earth, is the eighth planet found to be orbiting the same star.

Astronomers had never before observed an eight-planet network beside the solar system that includes Earth, researchers said.

“As the application of neutral networks to Kepler data matures, who knows what might be discovered,” said Jessie Dotson, a NASA project scientist for the Kepler space telescope. “I‘m on the edge of my seat.”

Christopher Shallue, an artificial intelligence researcher at Google, and Andrew Vanderburg, an astronomer at the University of Texas at Austin, said they plan to continue their work by analyzing Kepler data on more than 150,000 other stars.

Advancements in hardware and new techniques for machine learning have made it possible in recent years for automated software to tackle data analysis in science, finance and other industries.

Machine learning had not been applied to data acquired by the Kepler telescope until Shallue came up with the idea, he said.

“In my spare time, I started Googling for ‘finding exoplanets with large data sets’ and found out about the Kepler mission and the huge data set available,” he said. “Machine learning really shines in situations where there is so much data that humans can’t search it for themselves.”

Vanderburg has received funding through a NASA fellowship aimed at distant-planet researchers.

Reporting by Paresh Dave; Editing by Cynthia Osterman

Google crunches data to help NASA find two new planets

SAN FRANCISCO (Reuters) – Alphabet Inc’s Google and NASA said on Thursday that advanced computer analysis identified two new planets around distant stars, including one that is part of the first star system with as many planets as Earth’s solar system.

FILE PHOTO: The Google logo is shown reflected on an adjacent office building in Irvine, California, U.S. August 7, 2017. REUTERS/Mike Blake/File Photo

The research by Google and the University of Texas at Austin that used data from NASA raised the prospects of new insights into the universe by feeding data into computer programs that can churn through information faster and more in-depth than humanly possibly, a technique known as machine learning.

In this case, software learned differences between planets and other objects by analyzing thousands of data points, achieving 96 percent accuracy, NASA said at a news conference.

The data came from the Kepler telescope which NASA launched into space in 2009 as part of a planet-finding mission that is expected to end next year as the spacecraft runs out of fuel.

The software’s artificial “neural network” combed through data about 670 stars, which led to the discovery of planets Kepler 80g and Kepler 90i. The latter, a scorching, rocky mass 30 percent larger than Earth, is the eighth planet found to be orbiting the same star.

Astronomers had never before observed an eight-planet network beside the solar system that includes Earth, researchers said.

“As the application of neutral networks to Kepler data matures, who knows what might be discovered,” said Jessie Dotson, a NASA project scientist for the Kepler space telescope. “I‘m on the edge of my seat.”

Christopher Shallue, an artificial intelligence researcher at Google, and Andrew Vanderburg, an astronomer at the University of Texas at Austin, said they plan to continue their work by analyzing Kepler data on more than 150,000 other stars.

Advancements in hardware and new techniques for machine learning have made it possible in recent years for automated software to tackle data analysis in science, finance and other industries.

Machine learning had not been applied to data acquired by the Kepler telescope until Shallue came up with the idea, he said.

“In my spare time, I started Googling for ‘finding exoplanets with large data sets’ and found out about the Kepler mission and the huge data set available,” he said. “Machine learning really shines in situations where there is so much data that humans can’t search it for themselves.”

Vanderburg has received funding through a NASA fellowship aimed at distant-planet researchers.

Reporting by Paresh Dave; Editing by Cynthia Osterman

Google crunches data to help NASA find two new planets

SAN FRANCISCO (Reuters) – Alphabet Inc’s Google and NASA said on Thursday that advanced computer analysis identified two new planets around distant stars, including one that is part of the first star system with as many planets as Earth’s solar system.

FILE PHOTO: The Google logo is shown reflected on an adjacent office building in Irvine, California, U.S. August 7, 2017. REUTERS/Mike Blake/File Photo

The research by Google and the University of Texas at Austin that used data from NASA raised the prospects of new insights into the universe by feeding data into computer programs that can churn through information faster and more in-depth than humanly possibly, a technique known as machine learning.

In this case, software learned differences between planets and other objects by analyzing thousands of data points, achieving 96 percent accuracy, NASA said at a news conference.

The data came from the Kepler telescope which NASA launched into space in 2009 as part of a planet-finding mission that is expected to end next year as the spacecraft runs out of fuel.

The software’s artificial “neural network” combed through data about 670 stars, which led to the discovery of planets Kepler 80g and Kepler 90i. The latter, a scorching, rocky mass 30 percent larger than Earth, is the eighth planet found to be orbiting the same star.

Astronomers had never before observed an eight-planet network beside the solar system that includes Earth, researchers said.

“As the application of neutral networks to Kepler data matures, who knows what might be discovered,” said Jessie Dotson, a NASA project scientist for the Kepler space telescope. “I‘m on the edge of my seat.”

Christopher Shallue, an artificial intelligence researcher at Google, and Andrew Vanderburg, an astronomer at the University of Texas at Austin, said they plan to continue their work by analyzing Kepler data on more than 150,000 other stars.

Advancements in hardware and new techniques for machine learning have made it possible in recent years for automated software to tackle data analysis in science, finance and other industries.

Machine learning had not been applied to data acquired by the Kepler telescope until Shallue came up with the idea, he said.

“In my spare time, I started Googling for ‘finding exoplanets with large data sets’ and found out about the Kepler mission and the huge data set available,” he said. “Machine learning really shines in situations where there is so much data that humans can’t search it for themselves.”

Vanderburg has received funding through a NASA fellowship aimed at distant-planet researchers.

Reporting by Paresh Dave; Editing by Cynthia Osterman

Google crunches data to help NASA find two new planets

SAN FRANCISCO (Reuters) – Alphabet Inc’s Google and NASA said on Thursday that advanced computer analysis identified two new planets around distant stars, including one that is part of the first star system with as many planets as Earth’s solar system.

FILE PHOTO: The Google logo is shown reflected on an adjacent office building in Irvine, California, U.S. August 7, 2017. REUTERS/Mike Blake/File Photo

The research by Google and the University of Texas at Austin that used data from NASA raised the prospects of new insights into the universe by feeding data into computer programs that can churn through information faster and more in-depth than humanly possibly, a technique known as machine learning.

In this case, software learned differences between planets and other objects by analyzing thousands of data points, achieving 96 percent accuracy, NASA said at a news conference.

The data came from the Kepler telescope which NASA launched into space in 2009 as part of a planet-finding mission that is expected to end next year as the spacecraft runs out of fuel.

The software’s artificial “neural network” combed through data about 670 stars, which led to the discovery of planets Kepler 80g and Kepler 90i. The latter, a scorching, rocky mass 30 percent larger than Earth, is the eighth planet found to be orbiting the same star.

Astronomers had never before observed an eight-planet network beside the solar system that includes Earth, researchers said.

“As the application of neutral networks to Kepler data matures, who knows what might be discovered,” said Jessie Dotson, a NASA project scientist for the Kepler space telescope. “I‘m on the edge of my seat.”

Christopher Shallue, an artificial intelligence researcher at Google, and Andrew Vanderburg, an astronomer at the University of Texas at Austin, said they plan to continue their work by analyzing Kepler data on more than 150,000 other stars.

Advancements in hardware and new techniques for machine learning have made it possible in recent years for automated software to tackle data analysis in science, finance and other industries.

Machine learning had not been applied to data acquired by the Kepler telescope until Shallue came up with the idea, he said.

“In my spare time, I started Googling for ‘finding exoplanets with large data sets’ and found out about the Kepler mission and the huge data set available,” he said. “Machine learning really shines in situations where there is so much data that humans can’t search it for themselves.”

Vanderburg has received funding through a NASA fellowship aimed at distant-planet researchers.

Reporting by Paresh Dave; Editing by Cynthia Osterman

Google crunches data to help NASA find two new planets

SAN FRANCISCO (Reuters) – Alphabet Inc’s Google and NASA said on Thursday that advanced computer analysis identified two new planets around distant stars, including one that is part of the first star system with as many planets as Earth’s solar system.

FILE PHOTO: The Google logo is shown reflected on an adjacent office building in Irvine, California, U.S. August 7, 2017. REUTERS/Mike Blake/File Photo

The research by Google and the University of Texas at Austin that used data from NASA raised the prospects of new insights into the universe by feeding data into computer programs that can churn through information faster and more in-depth than humanly possibly, a technique known as machine learning.

In this case, software learned differences between planets and other objects by analyzing thousands of data points, achieving 96 percent accuracy, NASA said at a news conference.

The data came from the Kepler telescope which NASA launched into space in 2009 as part of a planet-finding mission that is expected to end next year as the spacecraft runs out of fuel.

The software’s artificial “neural network” combed through data about 670 stars, which led to the discovery of planets Kepler 80g and Kepler 90i. The latter, a scorching, rocky mass 30 percent larger than Earth, is the eighth planet found to be orbiting the same star.

Astronomers had never before observed an eight-planet network beside the solar system that includes Earth, researchers said.

“As the application of neutral networks to Kepler data matures, who knows what might be discovered,” said Jessie Dotson, a NASA project scientist for the Kepler space telescope. “I‘m on the edge of my seat.”

Christopher Shallue, an artificial intelligence researcher at Google, and Andrew Vanderburg, an astronomer at the University of Texas at Austin, said they plan to continue their work by analyzing Kepler data on more than 150,000 other stars.

Advancements in hardware and new techniques for machine learning have made it possible in recent years for automated software to tackle data analysis in science, finance and other industries.

Machine learning had not been applied to data acquired by the Kepler telescope until Shallue came up with the idea, he said.

“In my spare time, I started Googling for ‘finding exoplanets with large data sets’ and found out about the Kepler mission and the huge data set available,” he said. “Machine learning really shines in situations where there is so much data that humans can’t search it for themselves.”

Vanderburg has received funding through a NASA fellowship aimed at distant-planet researchers.

Reporting by Paresh Dave; Editing by Cynthia Osterman

Google crunches data to help NASA find two new planets

SAN FRANCISCO (Reuters) – Alphabet Inc’s Google and NASA said on Thursday that advanced computer analysis identified two new planets around distant stars, including one that is part of the first star system with as many planets as Earth’s solar system.

FILE PHOTO: The Google logo is shown reflected on an adjacent office building in Irvine, California, U.S. August 7, 2017. REUTERS/Mike Blake/File Photo

The research by Google and the University of Texas at Austin that used data from NASA raised the prospects of new insights into the universe by feeding data into computer programs that can churn through information faster and more in-depth than humanly possibly, a technique known as machine learning.

In this case, software learned differences between planets and other objects by analyzing thousands of data points, achieving 96 percent accuracy, NASA said at a news conference.

The data came from the Kepler telescope which NASA launched into space in 2009 as part of a planet-finding mission that is expected to end next year as the spacecraft runs out of fuel.

The software’s artificial “neural network” combed through data about 670 stars, which led to the discovery of planets Kepler 80g and Kepler 90i. The latter, a scorching, rocky mass 30 percent larger than Earth, is the eighth planet found to be orbiting the same star.

Astronomers had never before observed an eight-planet network beside the solar system that includes Earth, researchers said.

“As the application of neutral networks to Kepler data matures, who knows what might be discovered,” said Jessie Dotson, a NASA project scientist for the Kepler space telescope. “I‘m on the edge of my seat.”

Christopher Shallue, an artificial intelligence researcher at Google, and Andrew Vanderburg, an astronomer at the University of Texas at Austin, said they plan to continue their work by analyzing Kepler data on more than 150,000 other stars.

Advancements in hardware and new techniques for machine learning have made it possible in recent years for automated software to tackle data analysis in science, finance and other industries.

Machine learning had not been applied to data acquired by the Kepler telescope until Shallue came up with the idea, he said.

“In my spare time, I started Googling for ‘finding exoplanets with large data sets’ and found out about the Kepler mission and the huge data set available,” he said. “Machine learning really shines in situations where there is so much data that humans can’t search it for themselves.”

Vanderburg has received funding through a NASA fellowship aimed at distant-planet researchers.

Reporting by Paresh Dave; Editing by Cynthia Osterman

Amber discovery shows 'Dracula' sucked blood of feathered dinosaurs

WASHINGTON (Reuters) – Ticks, the notorious disease-spreading parasites, have been making life miserable far longer than human beings have walked the Earth. Even dinosaurs felt their blood-sucking wrath.

Studied tick pieces and extant hard tick for comparison (tick is 5 mm long) as seen in this handout photo received by Reuters December 12, 2017. Enrique Penalver/Handout via REUTERS ATTENTION EDITORS – THIS IMAGE WAS PROVIDED BY A THIRD PARTY. NO RESALES. NO ARCHIVES.

Scientists on Tuesday described a number of ticks, including a previously unknown species that they named after the fictional vampire Dracula, entombed in chunks of amber from Myanmar dating back 99 million years, including one still grasping a feather apparently from a feathered Cretaceous Period dinosaur.

One of the ticks belonging to the species Deinocroton draculi, meaning “Dracula’s terrible tick,” was found so engorged with blood that it increased its size eight-fold. If that sounds familiar, it is the premise of the Jurassic Park books and movies in which DNA extracted from the guts of dinosaur-biting mosquitoes trapped in amber was used to recreate dinosaurs.

Do not expect any dino-cloning from these ticks.

“It seems that modern techniques are unable to extract DNA, or at least sufficiently well-preserved DNA, from amber inclusions (organisms trapped in amber). DNA does not stand the passing of time, of millions of years, when entombed in amber,” said paleontologist Ricardo Pérez-de la Fuente of the Oxford University Museum of Natural History, one of the researchers in the study published in the journal Nature Communications.

Amber, fossilized tree resin, has provided a remarkable window into the past, with numerous types of small animals and plants preserved in superb detail. In this case, the amber offered the first direct evidence of a parasite-host relationship between ticks and feathered dinosaurs. These ticks also are among the oldest examples of these parasites in the fossil record.

The characteristics of the feather being grasped by an immature tick did not allow the researchers to pinpoint a specific type of feathered dinosaur that was the parasite’s blood meal. The researchers suspect it was a running dinosaur or perhaps a primitive bird, the evolutionary offshoots of dinosaurs.

Two of the Dracula ticks provided additional indirect evidence of these parasites feeding on dinosaurs. Hair-like structures from the larvae of so-called skin beetles were found attached to the ticks. Modern skin beetles feed in nests, eating feathers, skin and hair from the nest’s occupants.

“Most people don’t know that Bram Stoker’s Dracula was a fictionalized account of a real person, Vlad the Impaler, both blood-thirsty villains, although the ticks are merely making a living,” said entomologist David Grimaldi of the American Museum of Natural History in New York.

Reporting by Will DunhamEditing by Sandra Maler

Our Standards:The Thomson Reuters Trust Principles.

Amber discovery shows 'Dracula' sucked blood of feathered dinosaurs

WASHINGTON (Reuters) – Ticks, the notorious disease-spreading parasites, have been making life miserable far longer than human beings have walked the Earth. Even dinosaurs felt their blood-sucking wrath.

Studied tick pieces and extant hard tick for comparison (tick is 5 mm long) as seen in this handout photo received by Reuters December 12, 2017. Enrique Penalver/Handout via REUTERS ATTENTION EDITORS – THIS IMAGE WAS PROVIDED BY A THIRD PARTY. NO RESALES. NO ARCHIVES.

Scientists on Tuesday described a number of ticks, including a previously unknown species that they named after the fictional vampire Dracula, entombed in chunks of amber from Myanmar dating back 99 million years, including one still grasping a feather apparently from a feathered Cretaceous Period dinosaur.

One of the ticks belonging to the species Deinocroton draculi, meaning “Dracula’s terrible tick,” was found so engorged with blood that it increased its size eight-fold. If that sounds familiar, it is the premise of the Jurassic Park books and movies in which DNA extracted from the guts of dinosaur-biting mosquitoes trapped in amber was used to recreate dinosaurs.

Do not expect any dino-cloning from these ticks.

“It seems that modern techniques are unable to extract DNA, or at least sufficiently well-preserved DNA, from amber inclusions (organisms trapped in amber). DNA does not stand the passing of time, of millions of years, when entombed in amber,” said paleontologist Ricardo Pérez-de la Fuente of the Oxford University Museum of Natural History, one of the researchers in the study published in the journal Nature Communications.

Amber, fossilized tree resin, has provided a remarkable window into the past, with numerous types of small animals and plants preserved in superb detail. In this case, the amber offered the first direct evidence of a parasite-host relationship between ticks and feathered dinosaurs. These ticks also are among the oldest examples of these parasites in the fossil record.

The characteristics of the feather being grasped by an immature tick did not allow the researchers to pinpoint a specific type of feathered dinosaur that was the parasite’s blood meal. The researchers suspect it was a running dinosaur or perhaps a primitive bird, the evolutionary offshoots of dinosaurs.

Two of the Dracula ticks provided additional indirect evidence of these parasites feeding on dinosaurs. Hair-like structures from the larvae of so-called skin beetles were found attached to the ticks. Modern skin beetles feed in nests, eating feathers, skin and hair from the nest’s occupants.

“Most people don’t know that Bram Stoker’s Dracula was a fictionalized account of a real person, Vlad the Impaler, both blood-thirsty villains, although the ticks are merely making a living,” said entomologist David Grimaldi of the American Museum of Natural History in New York.

Reporting by Will DunhamEditing by Sandra Maler

Our Standards:The Thomson Reuters Trust Principles.

Waddling into history: huge ancient penguin inhabited New Zealand

WASHINGTON (Reuters) – Scientists have unearthed in New Zealand fossil bones of what might be the heavyweight champion of the penguin world, a bird nearly 6 feet tall (1.77 meters) that thrived 55 to 60 million years ago, relatively soon after the demise of the dinosaurs.

Kumimanu biceae, an ancient penguin, which lived 55 to 60 million years ago, weighing 225 pounds (101 kg) and measuring nearly 6 feet (1.77 m) is pictured in this handout artist’s reconstruction. G. Mayr/Senckenberg Research Institute/Handout via REUTERS

Researchers said on Tuesday the ancient penguin, called Kumimanu biceae, weighed nearly 225 pounds (101 kg), and was much bigger than the largest of these flightless seabirds alive today, the emperor penguin, which grows to about 4-1/4 feet (1.2 meters) and about 90 pounds (40 kg).

The only ancient penguin yet discovered that might have been larger than Kumimanu is known only from a leg bone, said ornithologist Gerald Mayr of the Senckenberg Research Institute and Natural History Museum Frankfurt.

“Gigantism in penguins evolved more than once,” Mayr said.

Kumimanu, named after a creature from Maori folklore and the Maori word for bird, is the second-oldest known penguin. The older one, also from New Zealand, was 61 million years old.

Kumimanu’s partial skeleton lacks the skull. Mayr said other fossils indicate that the earliest penguins possessed much longer beaks than their modern relatives, useful for spearing fish.

Kumimanu biceae, an ancient penguin, which lived 55 to 60 million years ago, weighing 225 pounds (101 kg) and measuring nearly 6 feet (1.77 m) is pictured in comparison to a human diver in this handout artist’s reconstruction. G. Mayr/Senckenberg Research Institute/Handout via REUTERS

“It would have been very impressive: as tall as many people, and a very solid, muscly animal built to withstand frequent deep dives to catch its prey,” said Alan Tennyson, vertebrate curator at the Museum of New Zealand Te Papa Tongarewa, another of the researchers in the study published in the journal Nature Communications.

“It would not have been the kind of bird that someone could catch alive. It would have been considerably more powerful than a person.”

Kumimanu and other early penguins had already developed typical penguin features including flipper-like wings and an upright stance. Studies suggest early penguins were brownish, not the trademark black and white of today’s penguins, Mayr said.

Penguins are thought to have evolved from a flying ancestor perhaps resembling a cormorant, Mayr said. The asteroid that doomed the dinosaurs 66 million years ago also eliminated the large marine reptiles that dominated the seas, clearing the way for fish-eating divers like penguins.

Kumimanu lived long before Antarctica’s glaciation. At the time, New Zealand and Antarctica were subtropical.

“It’s a common myth that penguins only live in very cold environments such as the Antarctic region,” Tennyson said. “Today, Galapagos penguins live at the equator, and many fossils show that early forms of penguins lived in warm seas.”

Reporting by Will DunhamEditing by Sandra Maler

Waddling into history: huge ancient penguin inhabited New Zealand

WASHINGTON (Reuters) – Scientists have unearthed in New Zealand fossil bones of what might be the heavyweight champion of the penguin world, a bird nearly 6 feet tall (1.77 meters) that thrived 55 to 60 million years ago, relatively soon after the demise of the dinosaurs.

Kumimanu biceae, an ancient penguin, which lived 55 to 60 million years ago, weighing 225 pounds (101 kg) and measuring nearly 6 feet (1.77 m) is pictured in this handout artist’s reconstruction. G. Mayr/Senckenberg Research Institute/Handout via REUTERS

Researchers said on Tuesday the ancient penguin, called Kumimanu biceae, weighed nearly 225 pounds (101 kg), and was much bigger than the largest of these flightless seabirds alive today, the emperor penguin, which grows to about 4-1/4 feet (1.2 meters) and about 90 pounds (40 kg).

The only ancient penguin yet discovered that might have been larger than Kumimanu is known only from a leg bone, said ornithologist Gerald Mayr of the Senckenberg Research Institute and Natural History Museum Frankfurt.

“Gigantism in penguins evolved more than once,” Mayr said.

Kumimanu, named after a creature from Maori folklore and the Maori word for bird, is the second-oldest known penguin. The older one, also from New Zealand, was 61 million years old.

Kumimanu’s partial skeleton lacks the skull. Mayr said other fossils indicate that the earliest penguins possessed much longer beaks than their modern relatives, useful for spearing fish.

Kumimanu biceae, an ancient penguin, which lived 55 to 60 million years ago, weighing 225 pounds (101 kg) and measuring nearly 6 feet (1.77 m) is pictured in comparison to a human diver in this handout artist’s reconstruction. G. Mayr/Senckenberg Research Institute/Handout via REUTERS

“It would have been very impressive: as tall as many people, and a very solid, muscly animal built to withstand frequent deep dives to catch its prey,” said Alan Tennyson, vertebrate curator at the Museum of New Zealand Te Papa Tongarewa, another of the researchers in the study published in the journal Nature Communications.

“It would not have been the kind of bird that someone could catch alive. It would have been considerably more powerful than a person.”

Kumimanu and other early penguins had already developed typical penguin features including flipper-like wings and an upright stance. Studies suggest early penguins were brownish, not the trademark black and white of today’s penguins, Mayr said.

Penguins are thought to have evolved from a flying ancestor perhaps resembling a cormorant, Mayr said. The asteroid that doomed the dinosaurs 66 million years ago also eliminated the large marine reptiles that dominated the seas, clearing the way for fish-eating divers like penguins.

Kumimanu lived long before Antarctica’s glaciation. At the time, New Zealand and Antarctica were subtropical.

“It’s a common myth that penguins only live in very cold environments such as the Antarctic region,” Tennyson said. “Today, Galapagos penguins live at the equator, and many fossils show that early forms of penguins lived in warm seas.”

Reporting by Will DunhamEditing by Sandra Maler

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