G.E. Looks to Industry for the Next Digital Disruption

SAN RAMON, Calif. — When Sharoda Paul finished a postdoctoral fellowship last year at the Palo Alto Research Center, she did what most of her peers do — considered a job at a big Silicon Valley company, in her case, Google. But instead, Ms. Paul, a 31-year-old expert in social computing, went to work for General Electric.

Ms. Paul is one of more than 250 engineers recruited in the last year and a half to G.E.’s new software center here, in the East Bay of San Francisco. The company plans to increase that work force of computer scientists and software developers to 400, and to invest $1 billion in the center by 2015. The buildup is part of G.E’s big bet on what it calls the “industrial Internet,” bringing digital intelligence to the physical world of industry as never before.

The concept of Internet-connected machines that collect data and communicate, often called the “Internet of Things,” has been around for years. Information technology companies, too, are pursuing this emerging field. I.B.M. has its “Smarter Planet” projects, while Cisco champions the “Internet of Everything.”

But G.E.’s effort, analysts say, shows that Internet-era technology is ready to sweep through the industrial economy much as the consumer Internet has transformed media, communications and advertising over the last decade.

In recent months, Ms. Paul has donned a hard hat and safety boots to study power plants. She has ridden on a rail locomotive and toured hospital wards. “Here, you get to work with things that touch people in so many ways,” she said. “That was a big draw.”

G.E. is the nation’s largest industrial company, a producer of aircraft engines, power plant turbines, rail locomotives and medical imaging equipment. It makes the heavy-duty machinery that transports people, heats homes and powers factories, and lets doctors diagnose life-threatening diseases.

G.E. resides in a different world from the consumer Internet. But the major technologies that animate Google and Facebook are also vital ingredients in the industrial Internet — tools from artificial intelligence, like machine-learning software, and vast streams of new data. In industry, the data flood comes mainly from smaller, more powerful and cheaper sensors on the equipment.

Smarter machines, for example, can alert their human handlers when they will need maintenance, before a breakdown. It is the equivalent of preventive and personalized care for equipment, with less downtime and more output.

“These technologies are really there now, in a way that is practical and economic,” said Mark M. Little, G.E.’s senior vice president for global research.

G.E.’s embrace of the industrial Internet is a long-term strategy. But if its optimism proves justified, the impact could be felt across the economy.

The outlook for technology-led economic growth is a subject of considerable debate. In a recent research paper, Robert J. Gordon, a prominent economist at Northwestern University, argues that the gains from computing and the Internet have petered out in the last eight years.

Since 2000, Mr. Gordon asserts, invention has focused mainly on consumer and communications technologies, including smartphones and tablet computers. Such devices, he writes, are “smaller, smarter and more capable, but do not fundamentally change labor productivity or the standard of living” in the way that electric lighting or the automobile did.

But others say such pessimism misses the next wave of technology. “The reason I think Bob Gordon is wrong is precisely because of the kind of thing G.E. is doing,” said Andrew McAfee, principal research scientist at M.I.T.’s Center for Digital Business.

Today, G.E. is putting sensors on everything, be it a gas turbine or a hospital bed. The mission of the engineers in San Ramon is to design the software for gathering data, and the clever algorithms for sifting through it for cost savings and productivity gains. Across the industries it covers, G.E. estimates such efficiency opportunities at as much as $150 billion.

Some industrial Internet projects are already under way. First Wind, an owner and operator of 16 wind farms in America, is a G.E. customer for wind turbines. It has been experimenting with upgrades that add more sensors, controls and optimization software.

The new sensors measure temperature, wind speeds, location and pitch of the blades. They collect three to five times as much data as the sensors on turbines of a few years ago, said Paul Gaynor, chief executive of First Wind. The data is collected and analyzed by G.E. software, and the operation of each turbine can be tweaked for efficiency. For example, in very high winds, turbines across an entire farm are routinely shut down to prevent damage from rotating too fast. But more refined measurement of wind speeds might mean only a portion of the turbines need to be shut down. In wintry conditions, turbines can detect when they are icing up, and speed up or change pitch to knock off the ice.

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Scientists See Advances in Deep Learning, a Part of Artificial Intelligence

Hao Zhang/The New York Times

A voice recognition program translated a speech given by Richard F. Rashid, Microsoft’s top scientist, into Mandarin Chinese.

Using an artificial intelligence technique inspired by theories about how the brain recognizes patterns, technology companies are reporting startling gains in fields as diverse as computer vision, speech recognition and the identification of promising new molecules for designing drugs.

The advances have led to widespread enthusiasm among researchers who design software to perform human activities like seeing, listening and thinking. They offer the promise of machines that converse with humans and perform tasks like driving cars and working in factories, raising the specter of automated robots that could replace human workers.

The technology, called deep learning, has already been put to use in services like Apple’s Siri virtual personal assistant, which is based on Nuance Communications’ speech recognition service, and in Google’s Street View, which uses machine vision to identify specific addresses.

But what is new in recent months is the growing speed and accuracy of deep-learning programs, often called artificial neural networks or just “neural nets” for their resemblance to the neural connections in the brain.

“There has been a number of stunning new results with deep-learning methods,” said Yann LeCun, a computer scientist at New York University who did pioneering research in handwriting recognition at Bell Laboratories. “The kind of jump we are seeing in the accuracy of these systems is very rare indeed.”

Artificial intelligence researchers are acutely aware of the dangers of being overly optimistic. Their field has long been plagued by outbursts of misplaced enthusiasm followed by equally striking declines.

In the 1960s, some computer scientists believed that a workable artificial intelligence system was just 10 years away. In the 1980s, a wave of commercial start-ups collapsed, leading to what some people called the “A.I. winter.”

But recent achievements have impressed a wide spectrum of computer experts. In October, for example, a team of graduate students studying with the University of Toronto computer scientist Geoffrey E. Hinton won the top prize in a contest sponsored by Merck to design software to help find molecules that might lead to new drugs.

From a data set describing the chemical structure of 15 different molecules, they used deep-learning software to determine which molecule was most likely to be an effective drug agent.

The achievement was particularly impressive because the team decided to enter the contest at the last minute and designed its software with no specific knowledge about how the molecules bind to their targets. The students were also working with a relatively small set of data; neural nets typically perform well only with very large ones.

“This is a really breathtaking result because it is the first time that deep learning won, and more significantly it won on a data set that it wouldn’t have been expected to win at,” said Anthony Goldbloom, chief executive and founder of Kaggle, a company that organizes data science competitions, including the Merck contest.

Advances in pattern recognition hold implications not just for drug development but for an array of applications, including marketing and law enforcement. With greater accuracy, for example, marketers can comb large databases of consumer behavior to get more precise information on buying habits. And improvements in facial recognition are likely to make surveillance technology cheaper and more commonplace.

Artificial neural networks, an idea going back to the 1950s, seek to mimic the way the brain absorbs information and learns from it. In recent decades, Dr. Hinton, 64 (a great-great-grandson of the 19th-century mathematician George Boole, whose work in logic is the foundation for modern digital computers), has pioneered powerful new techniques for helping the artificial networks recognize patterns.

Modern artificial neural networks are composed of an array of software components, divided into inputs, hidden layers and outputs. The arrays can be “trained” by repeated exposures to recognize patterns like images or sounds.

These techniques, aided by the growing speed and power of modern computers, have led to rapid improvements in speech recognition, drug discovery and computer vision.

Deep-learning systems have recently outperformed humans in certain limited recognition tests.

Last year, for example, a program created by scientists at the Swiss A. I. Lab at the University of Lugano won a pattern recognition contest by outperforming both competing software systems and a human expert in identifying images in a database of German traffic signs.

The winning program accurately identified 99.46 percent of the images in a set of 50,000; the top score in a group of 32 human participants was 99.22 percent, and the average for the humans was 98.84 percent.

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Scientists See Advances in Deep Learning, a Part of Artificial Intelligence

Hao Zhang/The New York Times

A voice recognition program translated a speech given by Richard F. Rashid, Microsoft’s top scientist, into Mandarin Chinese.

Using an artificial intelligence technique inspired by theories about how the brain recognizes patterns, technology companies are reporting startling gains in fields as diverse as computer vision, speech recognition and the identification of promising new molecules for designing drugs.

The advances have led to widespread enthusiasm among researchers who design software to perform human activities like seeing, listening and thinking. They offer the promise of machines that converse with humans and perform tasks like driving cars and working in factories, raising the specter of automated robots that could replace human workers.

The technology, called deep learning, has already been put to use in services like Apple’s Siri virtual personal assistant, which is based on Nuance Communications’ speech recognition service, and in Google’s Street View, which uses machine vision to identify specific addresses.

But what is new in recent months is the growing speed and accuracy of deep-learning programs, often called artificial neural networks or just “neural nets” for their resemblance to the neural connections in the brain.

“There has been a number of stunning new results with deep-learning methods,” said Yann LeCun, a computer scientist at New York University who did pioneering research in handwriting recognition at Bell Laboratories. “The kind of jump we are seeing in the accuracy of these systems is very rare indeed.”

Artificial intelligence researchers are acutely aware of the dangers of being overly optimistic. Their field has long been plagued by outbursts of misplaced enthusiasm followed by equally striking declines.

In the 1960s, some computer scientists believed that a workable artificial intelligence system was just 10 years away. In the 1980s, a wave of commercial start-ups collapsed, leading to what some people called the “A.I. winter.”

But recent achievements have impressed a wide spectrum of computer experts. In October, for example, a team of graduate students studying with the University of Toronto computer scientist Geoffrey E. Hinton won the top prize in a contest sponsored by Merck to design software to help find molecules that might lead to new drugs.

From a data set describing the chemical structure of 15 different molecules, they used deep-learning software to determine which molecule was most likely to be an effective drug agent.

The achievement was particularly impressive because the team decided to enter the contest at the last minute and designed its software with no specific knowledge about how the molecules bind to their targets. The students were also working with a relatively small set of data; neural nets typically perform well only with very large ones.

“This is a really breathtaking result because it is the first time that deep learning won, and more significantly it won on a data set that it wouldn’t have been expected to win at,” said Anthony Goldbloom, chief executive and founder of Kaggle, a company that organizes data science competitions, including the Merck contest.

Advances in pattern recognition hold implications not just for drug development but for an array of applications, including marketing and law enforcement. With greater accuracy, for example, marketers can comb large databases of consumer behavior to get more precise information on buying habits. And improvements in facial recognition are likely to make surveillance technology cheaper and more commonplace.

Artificial neural networks, an idea going back to the 1950s, seek to mimic the way the brain absorbs information and learns from it. In recent decades, Dr. Hinton, 64 (a great-great-grandson of the 19th-century mathematician George Boole, whose work in logic is the foundation for modern digital computers), has pioneered powerful new techniques for helping the artificial networks recognize patterns.

Modern artificial neural networks are composed of an array of software components, divided into inputs, hidden layers and outputs. The arrays can be “trained” by repeated exposures to recognize patterns like images or sounds.

These techniques, aided by the growing speed and power of modern computers, have led to rapid improvements in speech recognition, drug discovery and computer vision.

Deep-learning systems have recently outperformed humans in certain limited recognition tests.

Last year, for example, a program created by scientists at the Swiss A. I. Lab at the University of Lugano won a pattern recognition contest by outperforming both competing software systems and a human expert in identifying images in a database of German traffic signs.

The winning program accurately identified 99.46 percent of the images in a set of 50,000; the top score in a group of 32 human participants was 99.22 percent, and the average for the humans was 98.84 percent.

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Military Analysis: For Israel, Gaza Conflict Is Test for an Iran Confrontation

Menahem Kahana/Agence France-Presse — Getty Images

An Israeli missile is launched from a battery. Officials said their antimissile system shot down 88 percent of all assigned targets.

WASHINGTON — The conflict that ended, for now, in a cease-fire between Hamas and Israel seemed like the latest episode in a periodic showdown. But there was a second, strategic agenda unfolding, according to American and Israeli officials: The exchange was something of a practice run for any future armed confrontation with Iran, featuring improved rockets that can reach Jerusalem and new antimissile systems to counter them.

It is Iran, of course, that most preoccupies Prime Minister Benjamin Netanyahu and President Obama. While disagreeing on tactics, both have made it clear that time is short, probably measured in months, to resolve the standoff over Iran’s nuclear program.

And one key to their war-gaming has been cutting off Iran’s ability to slip next-generation missiles into the Gaza Strip or Lebanon, where they could be launched by Iran’s surrogates, Hamas, Hezbollah and Islamic Jihad, during any crisis over sanctions or an Israeli strike on Iran’s nuclear facilities.

Michael B. Oren, the Israeli ambassador to the United States and a military historian, likened the insertion of Iranian missiles into Gaza to the Cuban missile crisis.

“In the Cuban missile crisis, the U.S. was not confronting Cuba, but rather the Soviet Union,” Mr. Oren said Wednesday, as the cease-fire was declared. “In Operation Pillar of Defense,” the name the Israel Defense Force gave the Gaza operation, “Israel was not confronting Gaza, but Iran.”

It is an imprecise analogy. What the Soviet Union was slipping into Cuba 50 years ago was a nuclear arsenal. In Gaza, the rockets and parts that came from Iran were conventional, and, as the Israelis learned, still have significant accuracy problems. But from one point of view, Israel was using the Gaza battle to learn the capabilities of Hamas and Islamic Jihad — the group that has the closest ties to Iran — as well as to disrupt those links.

Indeed, the first strike in the eight-day conflict between Hamas and Israel arguably took place nearly a month before the fighting began — in Khartoum, the capital of Sudan, as another mysterious explosion in the shadow war with Iran.

A factory said to be producing light arms blew up in spectacular fashion on Oct. 22, and within two days the Sudanese charged that it had been hit by four Israeli warplanes that easily penetrated the country’s airspace. Israelis will not talk about it. But Israeli and American officials maintain that Sudan has long been a prime transit point for smuggling Iranian Fajr rockets, the kind that Hamas launched against Tel Aviv and Jerusalem over recent days.

The missile defense campaign that ensued over Israeli territory is being described as the most intense yet in real combat anywhere — and as having the potential to change warfare in the same way that novel applications of air power in the Spanish Civil War shaped combat in the skies ever since.

Of course, a conflict with Iran, if a last-ditch effort to restart negotiations fails, would look different than what has just occurred. Just weeks before the outbreak in Gaza, the United States and European and Persian Gulf Arab allies were practicing at sea, working on clearing mines that might be dropped in shipping lanes in the Strait of Hormuz.

But in the Israeli and American contingency planning, Israel would face three tiers of threat in a conflict with Iran: the short-range missiles that have been lobbed in this campaign, medium-range rockets fielded by Hezbollah in Lebanon and long-range missiles from Iran.

The last of those three could include the Shahab-3, the missile Israeli and American intelligence believe could someday be fitted with a nuclear weapon if Iran ever succeeded in developing one and — the harder task — shrinking it to fit a warhead.

A United States Army air defense officer said that the American and Israeli militaries were “absolutely learning a lot” from this campaign that may contribute to a more effective “integration of all those tiered systems into a layered approach.”

The goal, and the challenge, is to link short-, medium- and long-range missile defense radar systems and interceptors against the different types of threats that may emerge in the next conflict.

Even so, a historic battle of missile versus missile defense has played out in the skies over Israel, with Israeli officials saying their Iron Dome system shot down 350 incoming rockets — 88 percent of all targets assigned to the missile defense interceptors. Israeli officials declined to specify the number of interceptors on hand to reload their missile-defense batteries.

Before the conflict began, Hamas was estimated to have amassed an arsenal of 10,000 to 12,000 rockets. Israeli officials say their pre-emptive strikes on Hamas rocket depots severely reduced the arsenal of missiles, both those provided by Iran and some built in Gaza on a Syrian design.

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The Shrewd Shopper Carries a Smartphone

Tim Gruber for The New York Times

From left, Tara Niebeling, Sarah Schmidt, Bridget Jewell and Erin Vande Steeg are members of the social media team at the Mall of America in Bloomington, Minn.

Retailers are trying to lure shoppers away from the Internet, where they have increasingly been shopping to avoid Black Friday madness, and back to the stores. The bait is technological tools that will make shopping on the busiest day of the year a little more sane — and give shoppers an edge over their competition.

Those with smartphones in hand will get better planning tools, prices and parking spots. Walmart has a map that shows shoppers exactly where the top Black Friday specials can be found. A Mall of America Twitter feed gives advice on traffic and gifts, and the Macy’s app sends special deals for every five minutes a shopper stays in a store.

“The crazy mad rush to camp out and the crazy mad rush to hit the doorbusters have really made people think, ‘I’m just going to stay home on Black Friday,’ ” said Carey Rossi, editor in chief of ConsumerSearch.com, a review site. “This is going to invite some people back and say, ‘You know what? It doesn’t have to be that crazy.’ ”

Part of the retailers’ strategy is to slap back at online stores like Amazon.com, which last year used apps to pick off shoppers as they browsed in physical stores. But the stores are also recognizing that shopping on the Friday after Thanksgiving need not require an overnight wait in line, a helmet and elbow pads. A smartphone gives shoppers enough of an edge.

“This takes away that frantic Black Friday anxiety,” said Lawrence Fong, co-founder of BuyVia, an app that sends people price alerts and promotions. “While there’s a sport to it, life’s a little too short.”

Denise Fouts, 45, who works repairing fire and water damage in Chandler, Ariz., was already using apps, including Shopkick, Target’s app and one called Black Friday, before Thanksgiving to prepare for Black Friday. “There still are going to be the crowds, but at least I already know ahead of time what I’m going specifically for,” Ms. Fouts said.

Last week, Macy’s released an update to its app with about 300 Black Friday specials and their location. In the Herald Square store, for instance, the $49.99 cashmere sweater specials will be in the Broadway side of the fifth-floor women’s department.

“With the speed that people are shopping with on Black Friday, they need to be really efficient about how they’re spending their time,” said Jennifer Kasper, group vice president for digital media at Macy’s.

When shoppers keep the app open, Macy’s will start sending special deals to the phone every five minutes. The deals are not advertised elsewhere.

Walmart has had an app for several years, but recently introduced an in-store mode, which shows things like the current circular or food tastings when a shopper is near a certain location. Twelve percent of Walmart’s mobile revenue now comes from when a person is inside a store.

For Black Friday, the app will have a map of each store, with the precise location of the top sale items — so planners can determine the best way to run. “The blitz items are not where you think they would be, because for traffic reasons, maybe the hot game console is in the lawn and garden center,” said Gibu Thomas, senior vice president for mobile and digital for Walmart Global eCommerce.

Target is also testing a way-finding feature on its app at stores that include some in Seattle, Chicago and Los Angeles. If a shopper types in an item, the app will give its location.

Other app makers are betting that shoppers want apps that pull in information from many stores.

RedLaser, an eBay app, lets shoppers use their phones to compare prices and recently started using location data to give shoppers personalized promotions when they walk into stores, including items not on store shelves at Best Buy, for instance. RetailMeNot, which offers e-commerce coupons, now has offline coupons that will pop up on users’ cellphones when they step near 500 malls on Black Friday.

“Consumers are not going to download 40 different apps for 40 different stores,” said Cyriac Roeding, co-founder of Shopkick, a location-based app that gives shoppers points, redeemable for perks, when they walk into stores or scan certain items.

For Black Friday, Shopkick is publishing what it calls a little black book with the top doorbusters. Shoppers will earn extra points and rewards for shopping on Black Friday.

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The New Old Age Blog: Home Health Care Help by the Hour

Here is a bright idea that ought to spread: You call your home care agency and say you will need your mother’s aide for the normal two hours on Monday and Wednesday, but for just half an hour (to drive her to a doctor’s office) on Tuesday, then 90 minutes on Thursday. And the agency says, “Sure.”

It sounds logical to hire someone to help — with bathing, dressing, errands, meal preparation, medication reminders – for only as many hours as an older adult needs assistance. But it is actually unusual for companies to offer such flexibility.

The majority of agencies require a four-hour minimum. Having to spend $80  — the national average cost for home care is $21 an hour — if you only need $40 worth of help is a big barrier for families trying to keep their elderly relatives living at home longer. A few agencies allow you to hire for fewer than four hours, but at higher rates.

But Mission Healthcare in San Diego, Calif., a three-year-old agency that began with Medicare-certified skilled home nursing and hospice care, expanded to general home care this summer and decided that clients should be able to specify how much help they want – in 15-minute increments — and will pay for.

“We’ll come for as long as they need us to,” said Mark Kimsey, one of Mission’s four directors. “In one hour, a well-trained caregiver can get the client bathed and dressed, prepare three meals and have them organized for the day.” (I have to think that is a speedy caregiver with a not-too-frail client, but still … )

Can Mission, which charges $19 to $20 an hour, actually make money this way? Though overall the agency serves 1,100 clients, its fledgling home care business is still small: 30 aides caring for just 60 clients. The aides can get benefits if they work enough hours, a bonus for them and for consumers (better employees, lower turnover), but an additional cost for the company.

The directors say they are profitable already, and that the approach will succeed because more people will like the flexibility and potential savings, and sign up. It is also true, let’s acknowledge, that a person who can get by with an hour or two a day for now may well need more help eventually, a boost for Mission’s bottom line.

Competitors are no doubt watching to see if this works. I’m curious, too, to see if the policy catches on. “Consumers can change the marketplace if they want to,” Mr. Kimsey said. It would be nice to think that is true.

Would you use this kind of hourly service, if it were available?

Paula Span is the author of “When the Time Comes: Families With Aging Parents Share Their Struggles and Solutions.”

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The New Old Age Blog: Home Health Care Help by the Hour

Here is a bright idea that ought to spread: You call your home care agency and say you will need your mother’s aide for the normal two hours on Monday and Wednesday, but for just half an hour (to drive her to a doctor’s office) on Tuesday, then 90 minutes on Thursday. And the agency says, “Sure.”

It sounds logical to hire someone to help — with bathing, dressing, errands, meal preparation, medication reminders – for only as many hours as an older adult needs assistance. But it is actually unusual for companies to offer such flexibility.

The majority of agencies require a four-hour minimum. Having to spend $80  — the national average cost for home care is $21 an hour — if you only need $40 worth of help is a big barrier for families trying to keep their elderly relatives living at home longer. A few agencies allow you to hire for fewer than four hours, but at higher rates.

But Mission Healthcare in San Diego, Calif., a three-year-old agency that began with Medicare-certified skilled home nursing and hospice care, expanded to general home care this summer and decided that clients should be able to specify how much help they want – in 15-minute increments — and will pay for.

“We’ll come for as long as they need us to,” said Mark Kimsey, one of Mission’s four directors. “In one hour, a well-trained caregiver can get the client bathed and dressed, prepare three meals and have them organized for the day.” (I have to think that is a speedy caregiver with a not-too-frail client, but still … )

Can Mission, which charges $19 to $20 an hour, actually make money this way? Though overall the agency serves 1,100 clients, its fledgling home care business is still small: 30 aides caring for just 60 clients. The aides can get benefits if they work enough hours, a bonus for them and for consumers (better employees, lower turnover), but an additional cost for the company.

The directors say they are profitable already, and that the approach will succeed because more people will like the flexibility and potential savings, and sign up. It is also true, let’s acknowledge, that a person who can get by with an hour or two a day for now may well need more help eventually, a boost for Mission’s bottom line.

Competitors are no doubt watching to see if this works. I’m curious, too, to see if the policy catches on. “Consumers can change the marketplace if they want to,” Mr. Kimsey said. It would be nice to think that is true.

Would you use this kind of hourly service, if it were available?

Paula Span is the author of “When the Time Comes: Families With Aging Parents Share Their Struggles and Solutions.”

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The Lede Blog: Vignettes of Black Friday

With promotions, discounts and doorbusters already well under way on Thanksgiving Day itself, many big-box retailers are making Black Friday stretch longer than ever. The Lede is checking out the mood of American consumers in occasional vignettes Thursday and Friday as the economically critical holiday shopping season kicks off.

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Egypt Leader and Obama Forge Link in Gaza Deal

Lefteris Pitarakis/Associated Press

Israelis in the town of Sderot watched a Palestinian missile on Wednesday, before a cease-fire.

WASHINGTON — President Obama skipped dessert at a long summit meeting dinner in Cambodia on Monday to rush back to his hotel suite. It was after 11:30 p.m., and his mind was on rockets in Gaza rather than Asian diplomacy. He picked up the telephone to call the Egyptian leader who is the new wild card in his Middle East calculations.

Over the course of the next 25 minutes, he and President Mohamed Morsi of Egypt hashed through ways to end the latest eruption of violence, a conversation that would lead Mr. Obama to send Secretary of State Hillary Rodham Clinton to the region. As he and Mr. Morsi talked, Mr. Obama felt they were making a connection. Three hours later, at 2:30 in the morning, they talked again.

The cease-fire brokered between Israel and Hamas on Wednesday was the official unveiling of this unlikely new geopolitical partnership, one with bracing potential if not a fair measure of risk for both men. After a rocky start to their relationship, Mr. Obama has decided to invest heavily in the leader whose election caused concern because of his ties to the Muslim Brotherhood, seeing in him an intermediary who might help make progress in the Middle East beyond the current crisis in Gaza.

The White House phone log tells part of the tale. Mr. Obama talked with Mr. Morsi three times within 24 hours and six times over the course of several days, an unusual amount of one-on-one time for a president. Mr. Obama told aides he was impressed with the Egyptian leader’s pragmatic confidence. He sensed an engineer’s precision with surprisingly little ideology. Most important, Mr. Obama told aides that he considered Mr. Morsi a straight shooter who delivered on what he promised and did not promise what he could not deliver.

“The thing that appealed to the president was how practical the conversations were — here’s the state of play, here are the issues we’re concerned about,” said a senior administration official who spoke on the condition of anonymity to discuss private conversations. “This was somebody focused on solving problems.”

The Egyptian side was also positive about the collaboration. Essam el-Haddad, the foreign policy adviser to the Egyptian president, described a singular partnership developing between Mr. Morsi, who is the most important international ally for Hamas, and Mr. Obama, who plays essentially the same role for Israel.

“Yes, they were carrying the point of view of the Israeli side but they were understanding also the other side, the Palestinian side,” Mr. Haddad said in Cairo as the cease-fire was being finalized on Wednesday. “We felt there was a high level of sincerity in trying to find a solution. The sincerity and understanding was very helpful.”

The fledgling partnership forged in the fires of the past week may be ephemeral, a unique moment of cooperation born out of necessity and driven by national interests that happened to coincide rather than any deeper meeting of the minds. Some longtime students of the Middle East cautioned against overestimating its meaning, recalling that Mr. Morsi’s Muslim Brotherhood constitutes a philosophical brother of Hamas even if it has renounced violence itself and become the governing party in Cairo.

“I would caution the president from believing that President Morsi has in any way distanced himself from his ideological roots,” said Robert Satloff, executive director of the Washington Institute for Near East Policy. “But if the president takes away the lesson that we can affect Egypt’s behavior through the artful use of leverage, that’s a good lesson. You can shape his behavior. You can’t change his ideology.”

Other veterans of Middle East policy agreed with the skepticism yet saw the seeds of what might eventually lead to broader agreement.

“It really is something with the potential to establish a new basis for diplomacy in the region,” said Tamara Cofman Wittes, who was Mr. Obama’s deputy assistant secretary of state for the Middle East until earlier this year and now runs the Saban Center for Middle East Policy at the Brookings Institution. “It’s just potential, but it’s particularly impressive potential.”

The relationship between the two leaders has come a long way in just 10 weeks. Mr. Morsi’s election in June as the first Islamist president of Egypt set nerves in Washington on edge and raised questions about the future of Egypt’s three-decade-old peace treaty with Israel. Matters worsened in September when Egyptian radicals protesting an anti-Islam video stormed the United States Embassy in Cairo.

Peter Baker reported from Washington, and David D. Kirkpatrick from Cairo.

This article has been revised to reflect the following correction:

Correction: November 21, 2012

An earlier version of this article misstated the given name of the director of the Saban Center for Middle East Policy at the Brookings Institution. She is Tamara Cofman Wittes, not Teresa.

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DealBook: Some Analysts Question Numbers in H.P.'s Write-Down

The “kitchen sink” charge, in which all kinds of write-downs and costs are rolled into one gargantuan number, is something of a ritual in corporate America. The $8.8 billion charge that Hewlett-Packard announced on Tuesday, however, shows why such moves should be scrutinized carefully.

H.P. took the charge in its fourth quarter to reflect the reduced value of Autonomy, the British software firm that it bought last year for about $10 billion. The computing giant said it had discovered “serious accounting improprieties” at Autonomy, including what it said were ruses that inflated revenue and profitability metrics.

H.P. contends that such accounting improprieties were behind more than $5 billion of the $8.8 billion charge. For some analysts, that didn’t add up.

“Out of the $8.8 billion, I’d be very surprised if more than a couple of billion was due to accounting improprieties,” said Aswath Damodaran, a professor of finance at New York University’s Stern School of Business.

In other words, the skeptics say they think H.P. may be overstating the financial effects of the supposed accounting chicanery. They say that H.P.’s management may have wanted to write off as much of Autonomy as possible, and that the accounting allegations allowed it to increase the charge.

This move, of course, hurt H.P’s fourth-quarter earnings. But a big charge has the advantage of cleaning the slate for the next fiscal year for the company’s chief executive, Meg Whitman. With Autonomy now only a small part of H.P.’s balance sheet, there is a much smaller chance that the troubled division will lead to more embarrassing write-downs. The Autonomy acquisition was initiated by H.P.’s previous chief executive, Léo Apotheker.

Evaluating the validity of the charge requires understanding exactly what H.P. was writing down.

When a company accounts for an acquisition, it assesses the value of the target, subtracting its liabilities from its assets. It then compares this so-called fair value with the price it is paying. If it is paying more than the fair value, the difference is recorded as good will on the buyer’s balance sheet. When H.P. acquired Autonomy, it got roughly $4 billion of intangible assets (Autonomy’s expertise, intellectual property and brand recognition) and recorded roughly $6 billion of good will. In the charge announced Tuesday, H.P. slashed the value of both, effectively saying Autonomy was worth 80 percent less than it originally thought.

In some ways, an 80 percent reduction might seem deserved, if Autonomy was in fact cooking its books. But despite their accusations, H.P. executives in a conference call did not seem to present a dire picture of Autonomy. The ruses, if that’s what they were, helped revenue and profits, but probably not enough to account for $5 billion of the charge, said Anup Srivastava, an assistant professor at the Kellogg School of Management at Northwestern University. “I can’t justify it,” he said.

Autonomy’s revenue benefited from one alleged ruse, but only by 10 to 15 percent, according to Hewlett. Catherine A. Lesjak, the H.P. chief financial officer, said Tuesday that without accounting tricks, Autonomy would have appeared less profitable. But it was still making money, according to her figures.

Without the tricks, Ms. Lesjak said, Autonomy probably had operating margins as high as 30 percent, compared with as much as 45 percent with them. And on Tuesday, Ms. Whitman said Autonomy could still be something of a “growth engine” for H.P.

Still, some people think the charge may be reasonable. In assessing the size of an impairment charge, companies focus on projections of cash flows from the affected divisions. If H.P. can show that Autonomy’s cash generation is far below its expectations, and that cooking the books largely hid that, the charge may be sound, said Cynthia Jeffrey, associate professor of accounting at Iowa State University.

“If there’s fraud involved and that wasn’t found during due diligence, the whole thing could be valueless,” she said.

H.P. could argue that the high valuation it placed on Autonomy’s cash flows looks all the more untenable in light of the legerdemain allegations, and that that’s why it had to take the charge.

When asked to comment on the charge, an H.P. spokesman, Michael Kuczkowski, e-mailed a list of what he said were the improper accounting maneuvers at Autonomy.

“Because our investigation into the accounting improprieties and misrepresentations at Autonomy remains ongoing, and given our referral of this matter to regulatory authorities in the U.S. and the U.K., it would not be appropriate for us to provide a more detailed description at this time,” he said.

A version of this article appeared in print on 11/22/2012, on page B4 of the NewYork edition with the headline: Some Question Numbers In H.P.’s Write-Down.

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