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Tuesday, August 6, 2019

Daniel Freedman wins Special Breakthrough Prize in Fundamental Physics

Daniel Z. Freedman, professor emeritus in MIT’s departments of Mathematics and Physics, has been awarded the Special Breakthrough Prize in Fundamental Physics. He shares the $3 million prize with two colleagues, Sergio Ferrara of CERN and Peter van Nieuwenhuizen of Stony Brook University, with whom he developed the theory of supergravity.

The trio is honored for work that combines the principles of supersymmetry, which postulates that all fundamental particles have corresponding, unseen “partner” particles; and Einstein's theory of general relativity, which explains that gravity is the result of the curvature of space-time.

When the theory of supersymmetry was developed in 1973, it solved some key problems in particle physics, such as unifying three forces of nature (electromagnetism, the weak nuclear force, and the strong nuclear force), but it left out a fourth force: gravity. Freedman, Ferrara, and van Nieuwenhuizen addressed this in 1976 with their theory of supergravity, in which the gravitons of general relativity acquire superpartners called gravitinos.

Freedman’s collaboration with Ferrara and van Nieuwenhuizen began late in 1975 at École Normale Supérior in Paris, where he was visiting on a minisabbatical from Stony Brook, where he was a professor. Ferrara had also come to ENS, to work on a different project for a week. The challenge of constructing supergravity was in the air at that time, and Freedman told Ferrara that he was thinking about it. In their discussions, Ferrara suggested that progress could be made via an approach that Freedman had previously used in a related problem involving supersymmetric gauge theories.

“That turned me in the right direction,” Freedman recalls. In short order, he formulated the first step in the construction of supergravity and proved its mathematical consistency. “I returned to Stony Brook convinced that I could quickly find the rest of the theory,” he says. However, “I soon realized that it was harder than I had expected.”

At that point he asked van Nieuwenhuizen to join him on the project. “We worked very hard for several months until the theory came together. That was when our eureka moment occurred,” he says.

“Dan’s work on supergravity has changed how scientists think about physics beyond the standard model, combining principles of supersymmetry and Einstein’s theory of general relativity,” says Michael Sipser, dean of the MIT School of Science and the Donner Professor of Mathematics. “His exemplary research is central to mathematical physics and has given us new pathways to explore in quantum field theory and superstring theory. On behalf of the School of Science, I congratulate Dan and his collaborators for this prestigious award.”

Freedman joined the MIT faculty in 1980, first as professor of applied mathematics and later with a joint appointment in the Center for Theoretical Physics. He regularly taught an advanced graduate course on supersymmetry and supergravity. An unusual feature of the course was that each assigned problem set included suggestions of classical music to accompany students’ work. 

“I treasure my 36 years at MIT,” he says, noting that he  worked with “outstanding” graduate students with “great resourcefulness as problem solvers.” Freedman fully retired from MIT in 2016.

He is now a visiting professor at Stanford University and lives in Palo Alto, California, with his wife, Miriam, an attorney specializing in public education law.

The son of small-business people, Freedman was the first in his family to attend college. He became interested in physics during his first year at Wesleyan University, when he enrolled in a special class that taught physics in parallel with the calculus necessary to understand its mathematical laws. It was a pivotal experience. “Learning that the laws of physics can exactly describe phenomena in nature — that totally turned me on,” he says.

Freedman learned about winning the Breakthrough Prize upon returning from a morning boxing class, when his wife told him that a Stanford colleague, who was on the Selection Committee, had been trying to reach him. “When I returned the call, I was overwhelmed with the news,” he says.

Freedman, who holds a BA from Wesleyan and an MS and PhD in physics from the University of Wisconsin, is a former Sloan Fellow and a two-time Guggenheim Fellow. The three collaborators received the Dirac Medal and Prize in 1993, and the Dannie Heineman Prize in Mathematical Physics in 2006. He is a fellow of the American Academy of Arts and Sciences.

Founded by a group of Silicon Valley entrepreneurs, the Breakthrough Prizes recognize the world’s top scientists in life sciences, fundamental physics, and mathematics. The Special Breakthrough Prize in Fundamental Physics honors profound contributions to human knowledge in physics. Earlier honorees include Jocelyn Bell Burnell; the LIGO research team, including MIT Professor Emeritus Rainer Weiss; and Stephen Hawking.  



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Attention Apple Retro-Heads: Claris is Back!

Apple revives the original name of its software subsidiary, which it abandoned in 1998. The rebranded Claris also is acquiring an Italian software company.

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Ugly or Beautiful? The Housing Blocks Communism Left Behind

Zupagrafika's new book captures modernist and brutalist architecture in Germany, Hungary, Poland, Ukraine, and Russia.

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BREAKING NEWS: Nobel laureate Toni Morrison has died

A publisher at Knopf has just confirmed that the Nobel laureate and Pulitzer Prize-winning author, Toni Morrison has died Monday night in New York City.

Born Chloe Anthony Wofford in 1931 in Lorain (Ohio), Morrison was the second of four children from a black working-class family. She went on to study at both Howard and Cornell Universities and developed a career as a literary critic and editor for Random House.

Her first novel, “The Bluest Eye” was released in 1970, and went on to receive the Pulitzer Prize in 1988.

Most recently, a new documentary on her life was released. The film, Toni Morrison: The Pieces I Am focused on the legendary author’s career, highly acclaimed novels, and life, OprahMag reports.

The documentary also looks back on her childhood, her experience as an undergraduate student at Howard University, and much more.

The biopic, directed by Timothy Greenfield-Sanders, offers fans a better understanding of Morrison’s perspective on topics such as racial identity, prejudice, and the “plight of Black Women.” It also highlight her current achievements.

Morrison, who died last night was 88 years old.

The post BREAKING NEWS: Nobel laureate Toni Morrison has died appeared first on theGrio.



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Afton Williamson calls out ‘The Rookie” co-star she alleges sexually harassed her

Real Housewives of Potomac’s Ashley Darby meets her dad for the first time in 30 years

Real Housewives of Potomac star Ashley Darby took a journey into her past on Sunday’s episode to confront her father, a man who she has never met in 30 years.

John Legend and Rihanna call out Donald Trump over El Paso and Dayton mass shootings

While you’ll have to wait until next week to see what Darby and her dad discussed, the episode was all about the journey of confronting the man who divorced her mom 30 years ago and left his family without much explanation.

Darby made the trek to Atlanta, Georgia to get answers of a past that has haunted her and to douse the burning desire to better understand why her father left when she was one year old, PEOPLE reports.

Darby admits that five years ago she tried to reach out to her dad on Facebook, but in pure Facebook fashion, he blocked her.

“It was really hurtful,” Darby recalled. “And yet even still, I have this nagging desire to find my dad.”

“When I sit with myself, I think about my life and who I am and all that. I think about my dad a lot,” she added. “I have never known my dad … I’m tired of thinking about it. I need it for myself. I need to close this chapter of my life to look to the future.”

She continued: “This is something I’ve been thinking about a long time, reconnecting with my other side of my family. So what’s stopping me? As I’m trying to embark on starting a family, I’m thinking about my kid and what my kid will ask. They will want to know about their grandparents and their aunts and uncles. I feel like it’s a responsibility of mine to foster those relationship.”

To help ease the tension of meeting her father for the first time as an adult, Darby brought along her dad’s brother-in-law Uncle Jim and his sister, Aunt Sheila, two relatives whom she has kept in phone contact with other years.  Her mother Sheila Matthews, also came along.

“When I put myself in my dad’s shoes, I think the shame of having abandoned me is too much for him to bare,” Darby said. “He can’t confront it. But I’m hoping that my dad will feel a little more comfortable having Uncle Jim and Aunt Sheila there. Maybe he’ll be more receptive to having a conversation?”

“Even if I haven’t been able to have a close relationship with my dad, the fact that my aunt and uncle still make an effort to want to talk to me and show me that they care about me? That warms my heart,” Darby said.

Is RHOA star Porsha Williams back with her ex Dennis McKinley?

But there’s no promise that Aunt Sheila and Uncle Jim’s presence will ease the meeting especially since they said they haven’t talked to Darby’s dad in eight years.

“I’ve attempted to try, but nothing has happened,” Sheila said. “Dad has not spoken to me since 2011. I really don’t know.” “

“I have mixed feelings about you going to see your dad,” Jim told Darby. “I think your mom did absolutely the right thing, keeping you away from him. 20 years ago, he had a lot of demons running around inside of him. … I hope I’m 100 percent wrong.”

“My husband says the same thing. He does not think this is a good idea,” Darby said. “Honestly, what I’m just really looking for from this is just some sort of acknowledgement. Just to see his face.’ Cause everyone says we have the same face shape.”

“At this point in my life, I feel like I owe it to myself to make that effort and see what kind of response I get,” she added, admitting that while she was “scared,” she felt empowered. “Before, what would hold me back is this fear that he will reject me. But it’s not so scary that I couldn’t get on the plane.

Darby’s mom just wants closure for her daughter.

“All I know is I am looking for my daughter to finally having some form of closure in my life,” Matthews said.

“Oh my god,” Matthews said in the preview. “There’s your father.”

You’ll have to wait until The Real Housewives of Potomac airs next Sunday (8 p.m. ET) on Bravo to find out what happens or if they get the door closed in their faces.

The post Real Housewives of Potomac’s Ashley Darby meets her dad for the first time in 30 years appeared first on theGrio.



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Is RHOA star Porsha Williams back with her ex Dennis McKinley?

Porsha Williams and Dennis McKinley are reportedly back together again.

The Real Housewives of Atlanta star and her former fiancé broke the internet when they broke up earlier this year shortly after Williams gave birth to their baby Pilar in March.

RHOA’ star Porsha Williams accuses LAX restaurant of being “completely racist.”

Last season on the show, rumors swirled that McKinley was a lady’s man and her castmates worried and predicted that the relationship wouldn’t last.

The gossip mill also overflowed with reports that McKinley had cheated on Williams with WAGS Atlanta star Sincerely Ward. Ward however denied the affair and said she “never met” McKinley.

McKinley previously fought back against the rumors saying they were false.

But eventually the two broke up. It was a sad turn of events given that Williams fought hard against claims on her reality show by Kandi Burruss that McKinley was a playboy in Atlanta.

McKinley previously sent a statement to E! News in an attempt to clear the air. “These false and slanderous allegations against me are made solely to damage my reputation, jeopardize my ongoing businesses, and negatively impact my family,” he said at the time. “My attempts to ignore this slander have only empowered Latasha Kebe (aka Tasha K.) to create more false accusations. I am currently taking legal action—and am currently being represented by Michael T. Sterling of Dreyer Sterling, LLC.”

RHOA’ star Porsha Williams accuses LAX restaurant of being “completely racist.”

Now it’s a new day and a new season and filming has started all around Atlanta. A source confirmed to Us Weekly that Williams, 38 and McKinley, 39 have been spotted together and during a recent interview with the outlet she was sporting her engagement ring. They were also reportedly seen together on a RHOA cast trip too.

So, will bells be ringing sometime soon?

The post Is RHOA star Porsha Williams back with her ex Dennis McKinley? appeared first on theGrio.



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A Submarine Goes Under a Failing Glacier to Gauge Rising Seas

Scientists believe Antarctica's massive Thwaites Glacier is teetering on the brink of collapse, though just how fast that could happen remains an open question.

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Self-Driving Trucks Are Ready to Do Business in Texas

Kodiak Robotics will begin commercial service between Dallas and Houston, though a host of other self-driving startups have already been testing in the state.

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How to Reduce Gun Violence: Ask Some Scientists

Researchers have clear policy suggestions on how to see fewer gun deaths. They'd have many more, if they weren't starved for funding and data.

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Outrage as The Gambia frees ex-regime's hitmen

Three assassins who swore "blind loyalty" to ex-ruler Yahya Jammeh are released after confessing.

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The Apple Card Is Now Available. Here Are the Details

A select group of iPhone users are getting early access to Apple's digital credit card. Everyone else will get it later in August.

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Senegal's Pape Souare joins French side Troyes

Senegal defender Pape Souare signs for French side Troyes on a one-year deal from English club Crystal Palace.

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Monday, August 5, 2019

Climate change: Hungry nations add the least to global CO2

Impoverished African countries are the most food-insecure, stemming from climate change, says a charity.

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Automating artificial intelligence for medical decision-making

MIT computer scientists are hoping to accelerate the use of artificial intelligence to improve medical decision-making, by automating a key step that’s usually done by hand — and that’s becoming more laborious as certain datasets grow ever-larger.

The field of predictive analytics holds increasing promise for helping clinicians diagnose and treat patients. Machine-learning models can be trained to find patterns in patient data to aid in sepsis care, design safer chemotherapy regimens, and predict a patient’s risk of having breast cancer or dying in the ICU, to name just a few examples.

Typically, training datasets consist of many sick and healthy subjects, but with relatively little data for each subject. Experts must then find just those aspects — or “features” — in the datasets that will be important for making predictions.

This “feature engineering” can be a laborious and expensive process. But it’s becoming even more challenging with the rise of wearable sensors, because researchers can more easily monitor patients’ biometrics over long periods, tracking sleeping patterns, gait, and voice activity, for example. After only a week’s worth of monitoring, experts could have several billion data samples for each subject.  

In a paper being presented at the Machine Learning for Healthcare conference this week, MIT researchers demonstrate a model that automatically learns features predictive of vocal cord disorders. The features come from a dataset of about 100 subjects, each with about a week’s worth of voice-monitoring data and several billion samples — in other words, a small number of subjects and a large amount of data per subject. The dataset contain signals captured from a little accelerometer sensor mounted on subjects’ necks.

In experiments, the model used features automatically extracted from these data to classify, with high accuracy, patients with and without vocal cord nodules. These are lesions that develop in the larynx, often because of patterns of voice misuse such as belting out songs or yelling. Importantly, the model accomplished this task without a large set of hand-labeled data.

“It’s becoming increasing easy to collect long time-series datasets. But you have physicians that need to apply their knowledge to labeling the dataset,” says lead author Jose Javier Gonzalez Ortiz, a PhD student in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). “We want to remove that manual part for the experts and offload all feature engineering to a machine-learning model.”

The model can be adapted to learn patterns of any disease or condition. But the ability to detect the daily voice-usage patterns associated with vocal cord nodules is an important step in developing improved methods to prevent, diagnose, and treat the disorder, the researchers say. That could include designing new ways to identify and alert people to potentially damaging vocal behaviors.

Joining Gonzalez Ortiz on the paper is John Guttag, the Dugald C. Jackson Professor of Computer Science and Electrical Engineering and head of CSAIL’s Data Driven Inference Group; Robert Hillman, Jarrad Van Stan, and Daryush Mehta, all of Massachusetts General Hospital’s Center for Laryngeal Surgery and Voice Rehabilitation; and Marzyeh Ghassemi, an assistant professor of computer science and medicine at the University of Toronto.

Forced feature-learning

For years, the MIT researchers have worked with the Center for Laryngeal Surgery and Voice Rehabilitation to develop and analyze data from a sensor to track subject voice usage during all waking hours. The sensor is an accelerometer with a node that sticks to the neck and is connected to a smartphone. As the person talks, the smartphone gathers data from the displacements in the accelerometer.

In their work, the researchers collected a week’s worth of this data — called “time-series” data — from 104 subjects, half of whom were diagnosed with vocal cord nodules. For each patient, there was also a matching control, meaning a healthy subject of similar age, sex, occupation, and other factors.

Traditionally, experts would need to manually identify features that may be useful for a model to detect various diseases or conditions. That helps prevent a common machine-learning problem in health care: overfitting. That’s when, in training, a model “memorizes” subject data instead of learning just the clinically relevant features. In testing, those models often fail to discern similar patterns in previously unseen subjects.

“Instead of learning features that are clinically significant, a model sees patterns and says, ‘This is Sarah, and I know Sarah is healthy, and this is Peter, who has a vocal cord nodule.’ So, it’s just memorizing patterns of subjects. Then, when it sees data from Andrew, which has a new vocal usage pattern, it can’t figure out if those patterns match a classification,” Gonzalez Ortiz says.

The main challenge, then, was preventing overfitting while automating manual feature engineering. To that end, the researchers forced the model to learn features without subject information. For their task, that meant capturing all moments when subjects speak and the intensity of their voices.

As their model crawls through a subject’s data, it’s programmed to locate voicing segments, which comprise only roughly 10 percent of the data. For each of these voicing windows, the model computes a spectrogram, a visual representation of the spectrum of frequencies varying over time, which is often used for speech processing tasks. The spectrograms are then stored as large matrices of thousands of values.

But those matrices are huge and difficult to process. So, an autoencoder — a neural network optimized to generate efficient data encodings from large amounts of data — first compresses the spectrogram into an encoding of 30 values. It then decompresses that encoding into a separate spectrogram.  

Basically, the model must ensure that the decompressed spectrogram closely resembles the original spectrogram input. In doing so, it’s forced to learn the compressed representation of every spectrogram segment input over each subject’s entire time-series data. The compressed representations are the features that help train machine-learning models to make predictions.  

Mapping normal and abnormal features

In training, the model learns to map those features to “patients” or “controls.” Patients will have more voicing patterns than will controls. In testing on previously unseen subjects, the model similarly condenses all spectrogram segments into a reduced set of features. Then, it’s majority rules: If the subject has mostly abnormal voicing segments, they’re classified as patients; if they have mostly normal ones, they’re classified as controls.

In experiments, the model performed as accurately as state-of-the-art models that require manual feature engineering. Importantly, the researchers’ model performed accurately in both training and testing, indicating it’s learning clinically relevant patterns from the data, not subject-specific information.

Next, the researchers want to monitor how various treatments — such as surgery and vocal therapy — impact vocal behavior. If patients’ behaviors move form abnormal to normal over time, they’re most likely improving. They also hope to use a similar technique on electrocardiogram data, which is used to track muscular functions of the heart. 



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WATCH | Black Travel Diary: Is this the best fried fish spot in the Caribbean?

When it comes to eating good, we all know that some of the best food doesn’t come in fancy five-star buildings.

On the lush island of Antigua, one of the two islands that make up the Caribbean nation of Antigua & Barbuda, there’s a tiny roadside restaurant with a reputation for food so delicious, there are long lines every time they open.

Cavells Cook Shop in the capital city of St.John’s is known for having some of the best local cuisine on the island. The family-owned establishment has been on the island for about 19 years. The food is made with love, nearly every dish blessed by the owner herself, and it keeps locals and tourists alike coming back. 

In this episode of Grio Goes To: Antigua,” theGrio’s Deputy Editor Natasha S. Alford visits Cavell’s to see if the food lives up to the hype! 

You’ll get an up-close look at the Antigua’s best fried snapper, rice & black beans, fritters, mac cheese and even a very special sweet potato that looks like nothing you’ve ever seen before…

Watch the full episode above to find out the final verdict on Cavell’s, and subscribe to our YouTube channel for more Black Travel Guides to the hottest destinations.

The post WATCH | Black Travel Diary: Is this the best fried fish spot in the Caribbean? appeared first on theGrio.



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WATCH | Black Travel Diary: Why you should visit the island of Antigua

In the heart of the Caribbean, Black travelers will find a travel oasis like none other. Antigua, one of the two islands which make up the country of Antigua & Barbuda, is a vacation destination with laid back vibes, 365 gorgeous beaches, historic landmarks and one of the top sailing centers in this region of the world.

In our first episode theGrio’s Deputy Editor, Natasha S. Alford, heads to Antigua, to see first-hand what makes the island so special. The episode features the beautiful Blue Waters Resort in the capital city of St. John’s. Blue Waters Resort has held the title of world travel award winner for Antigua’s leading hotel for five consecutive years and it’s easy to see why. 

With 17 acres of lush gardens, the resort has multiple villas, each complete with a kitchen, living room, dining room, a large private bathroom for every bedroom. To top it off, the villas have balconies overlooking an incredible view of the ocean water. Everything that you need is right within your villa. The resort’s staff provide exceptional service and complimentary drinks to its guests, and they’ll pick you up from your villa for transportation between buildings and the lobby. 

“When you travel to places to be a tourist, often there’s a feeling of overcrowdedness or feeling like it’s really commercial,” Alford shares. 

“But in Antigua, there are beaches where hotels are not allowed to build and you just sort of see the natural beauty of the landscape. I think that is what’s so special There’s a uniqueness and calmness and positivity that has been preserved in Antigua.”

Watch the full video episode of “Grio Goes to Antigua” above, and subscribe to theGrio’s YouTube channel for more top Black Travel Diary content.

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Chicago Obama library highly anticipated, but gentrification and displacement fears begin to surface

The upcoming Barack Obama legacy library has several residents of a Chicago district concerned that the four-building, 19-acre “working center for citizenship” will lead to the displacement of thousands of low-income Black families.

The project is being built in Jackson Park on the city’s South Side and will reportedly include a 235-foot-high museum tower, a two-story event space, an athletic center, a recording studio, a winter garden and a sledding hill — and cost an estimated $500 million, according to The New York Times.

READ MORE: Judge rules lawsuit intended on blocking Obama Presidential Library can move forward

“Because our area has become attractive to developers now, they’ll count us out,” said 52-year-old social services worker Tara Madison, who lives in the area with her two children and two grandchildren. Madison, the daughter of civil rights activists, is not alone in her fear of gentrification and the racial disparities that often come with it.

The former president has teased that the center will serve as a hub for the youth and will attract new businesses, but there is concern that a resurgence will push out longtime residents, ABC News reports.

“The best things that have happened to me in my life, happened in this community. Although we had a formal bidding process to determine where the presidential library was going to be, the fact of the matter was it had to be right here on the South Side of Chicago,” Obama told a crowd in 2016.

The Windy City reportedly ranks third after New York and Los Angeles for cities with the most neighborhoods that have gentrified. Neighborhood activists conducted a study that estimated up to 4,500 families will be at risk of displacement by development around the Barack Obama center.

READ MORE: DC’s go-go sound becomes anti-gentrification battle cry

Activist Jeannette Taylor has reportedly gained sponsorship for an ordinance calling for protections in a two-mile radius around the Obama library. The ordinance also wants 30% of the area’s housing to be designated as affordable, and any buildings up for sale should first be offered to the current tenants.

“It is morally wrong to get investment in a community that’s long overdue investment and then to displace the very people who have been dealing with disinvestment,” Taylor said. “It is a conversation that should have been had way before this, way before the library.”

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Want to Know the Real Future of AR/VR? Ask Their Devs

A new survey of 900 active devs provides some surprising clarity into the technology's constraints.

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'Hobbs & Shaw' Ruled the Box Office Last Weekend

The Rock's muscles brought in more than $60 million domestically. Plus: *Spider-Verse* duo signs with Universal, *Batwoman* is the future, and *Dune* gets delayed.

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