Experts Suspect Nerve Agent Was Used In Syrian Attack

Experts are increasingly confident that a powerful nerve agent was used to kill and injure victims in an attack on a rebel-held region of Syria on Tuesday.

More than 70 people were killed in a bombing in Idlib province, according to the Syrian Observatory for Human Rights. The organization says that the death toll so far includes 20 children.

In a separate statement, Doctors Without Borders said one of its teams had examined eight survivors of the attack who had exhibited symptoms of exposure to “a neurotoxic agent such as sarin” — including constricted pupils and muscle spasms. Those symptoms are consistent with “any one of the chemicals in that chemical family of nerve agents,” agrees Dan Kaszeta, a chemical weapons expert with Strongpoint Security, a London-based consultancy.

Kaszeta says it’s the strongest evidence of an attack using nerve agent since an August 2013 strike on a Damascus suburb that killed hundreds of people. After that incident, President Bashar Assad’s regime was pressured into surrendering more than 1,000 tons of chemicals to international observers. Syria also joined the Chemical Weapons Convention, a treaty prohibiting the use of such weapons.

The surrender of the weapons material was considered one of the few diplomatic wins for the Obama administration, which struggled to respond to the Syria crisis.

Since then, combatants in Syria, including government forces, have been accused of regularly violating the convention. But Kaszeta says most chemical attacks in the region have involved chlorine gas, which is much less lethal.

“Chlorine is primarily is an irritant to the respiratory tract,” Kaszeta says. Although formally considered a chemical weapon, it only kills in extremely high concentrations. “It’s sort of a glorified tear-gas.”

By contrast, nerve agents such as sarin work by disrupting the nervous system’s communications with muscles throughout the body. Exposure to tiny quantities causes spasms and pinprick pupils — of the sort seen in videos from Tuesday’s attack, Kaszeta says.

The Russian government has claimed the chemicals were released after Syrian government forces hit a rebel chemical depot. Kaszeta says that’s doubtful because nerve agents are unstable and are typically stored as two separate chemicals. With sarin, for example, one of those precursor chemicals is highly flammable isopropyl alcohol.

“You drop a bomb on it, the whole thing is going up in a huge fireball,” he says. Even if the nerve agent was pre-mixed, a bomb strike would fail to disperse it in a way that could cause mass casualties.

Kaszeta says he thinks the most likely source of chemical was the Syrian regime. Sarin and other nerve agents are hard to make, and it’s unlikely that rebel groups would have access to it. Assad was known to hold large quantities of “precursor chemicals” used to make sarin, and although the government surrendered much of that material, it’s possible that some was left undeclared to international inspectors.

In addition, Kaszeta says, the Syrian regime is still believed to have experts who could make nerve agent from scratch. “It’s not like we arrested their scientists and chemical engineers and technicians,” he says. “Nothing happened to those guys.”

The Organisation for the Prohibition of Chemical Weapons says it is “seriously concerned about the alleged chemical weapons attack” and is gathering and analyzing information “from all available sources.”

If it is true that Syria is once again using nerve agents, Kaszeta says it would be a huge strike against the international system of treaties and inspections designed to prevent the use of chemical weapons.

Three years ago, “[Assad] used some, maybe all, of his chemical weapons as a poker chip, and gave that up for another chip that said, ‘Don’t bomb me,” Kaszeta says. But the use of chemical weapons has continued, and the regime may now be emboldened.

“I hate to be pessimistic about this whole thing, but he’s gotten away with it so far, why wouldn’t he get away with it again?”

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India’s Most Polluted River Actually Bubbles With Toxic Foam

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A Robot with Its Head in the Cloud Tackles Warehouse Picking

RightHand’s robot grabs items from a bin and places them on a conveyor belt.

Hidden inside a busy industrial building in Somerville, Massachusetts, a robot arm spends its day picking up seemingly random objects—bottles of shampoo, onions, cans of shaving foam—from a conveyor belt that goes in a circle about 10 meters in diameter.

The odd-looking setup is a test bed for a system that could take on many of the mundane picking tasks currently done by hand in warehouses and fulfillment centers. And it shows how advances in robotic hardware, computer vision, and teleoperation, along with the ability for machines to learn collaboratively via the cloud, may transform warehouse fulfillment in coming years.

The new robotic picking platform, which uses a combination of a hybrid gripper and machine learning, and which was developed by a startup called RightHand Robotics, can handle a wide variety of objects faster and more reliably than existing systems.

The company launched its platform, called RightPick, at a supply chain industry event earlier this month. It is targeting fulfillment for the pharmaceutical, electronics, grocery, and apparel industries.

When I visited RightHand Robotics early this year, the company’s cofounders, Yaro Tenzer and Leif Jentorf, showed me several prototypes they had developed. Besides the conveyor-belt scenario, these included a setup designed to match that of a company that sends packages of cosmetics tailored to individual customers. The company’s system could pick a customer’s items from several bins attached to a circular carousel. They also showed me a system learning to grasp a particular object by trying, over and over again, to move items piled up in one bin to another bin.

Picking different types of objects piled into a bin may sound simple, but it remains a huge challenge for robots, especially if the objects are unfamiliar. Humans are able to guess how an occluded object looks and feels, and we apply years of grasping experience to the task. Fulfillment centers typically handle a range of products, making them difficult to automate. Amazon, for example, has only been able to automate parts of its centers so far.

RightHand’s system grabs objects using a compliant fingered hand with a suction cup at its center. A camera is  embedded in the hand to help figure out which appendage  to use and how to grasp the item. The company employs machine learning to refine its control algorithm over time, and the tricks learned by one robot are fed back to a cloud server so that they can be shared with others. It is also possible for RightHand’s engineers to log into a system remotely to solve problems, or to help a company train the robot to pick a new object.

It is difficult to gauge the reliability and speed of such a system, or to tell how it might deal with any number of awkward new objects, but it appeared capable of picking up common objects you might find in a grocery store about as fast as a person could.

Ken Goldberg, a professor at UC Berkeley and an expert on robot vision, manipulation, and learning, says it remains very difficult for robots to rummage for items in a cluttered bin. He says he is impressed by the hybrid  gripper and adds that applying machine learning via the cloud, so that every robot deployed by the company gets smarter over time, makes a lot of sense. “This is a clever mechanism,” Goldberg says. “These guys are smart.”

At the start of this month, RightHand received $8 million in Series A  funding. The company’s early investors include Playground Global. This Palo Alto incubator and venture fund was created by Andy Rubin, who led the creation of Google’s Android smartphone operating system and who later managed the company’s foray into robotics with the acquisition of a number of startups working on various robot technologies. 

Tenzer and Jentorf both studied in Harvard’s Biorobotics Lab, and early company employees come from robotics labs at Yale and MIT.

Over the past year or so, the company has been working with a number of large logistics companies and retailers to prove the reliability of its system. “When we saw the tech and the progress they’ve made on the business side, we got really excited,” says Mark Valdez, a partner at Playground Global. “There’s an opportunity to build a virtuous cycle and a network effect for some of these software-defined hardware products.”

Besides Amazon, many other companies are trying to develop robots capable of grasping a range of objects from a disordered pile. “This is a major frontier for robotics right now,” says Goldberg of UC Berkeley.

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Driverless pods begin ferrying the public around Greenwich

It’s been almost a year since the UK’s Transport Research Laboratory (TRL) opened sign-ups for a driverless pod trial in Greenwich. The original plan was to start before Christmas, but given today’s date that obviously didn’t happen. Still, better late than never, eh? Over the next three weeks, roughly 100 people will clamber aboard "Harry," a self-driving shuttle named after clockmaker John Harrison. It will take them around a two-mile course in London’s North Greenwich, near The O2, to demonstrate how the technology could be used for "last mile" trips in urban areas.

The shuttle is a repurposed Ultra Pod, which is already in operation at London’s Heathrow Airport. With a maximum speed of 10MPH (16KPH), it’s not the fastest electric vehicle — you could beat it on a Boosted Board — however it’s hoped the leisurely pace will reassure pedestrians and minimise dangerous incidents. Each pod carries up to four people, including a safety operator who can pepper the breaks in an emergency. It’s able to ‘see’ it’s surroundings using a mixture of cameras and lasers, and use that information to track obstacles and create a collision-free route. Notably, it doesn’t need to rely on GPS for any of these calculations.

The purpose of the trials is to see how the public reacts to self-driving vehicles, and to examine how the technology can best be applied in built-up areas. Each trip will give the research team a wealth of valuable information — four terabytes of data every eight hours, to be precise. It’ll be supplemented with passenger interviews, taken before and after each trip, and written feedback that anyone can submit online through an interactive map. "It is critical that the public is fully involved as these technologies become a reality," Professor Nick Reed, academy director at TRL said.

The "GATEway Project" at Greenwich is one of many research initiatives being funded by the UK government. We’ve already seen the "Lutz Pathfinder" pod, which is being tested in Milton Keynes, and a modified Land Rover that’s serving as a research testbed in Bristol. Plans are also underway for a 41-mile "connected corridor," which will be used to test LTE, local WiFi hotspots and other forms of connectivity in self-driving vehicles. In the private sector, Nissan is testing its electric Leaf cars in the capital, and Roborace is developing a driverless motorsport. It’s an impressive hub of activity, even without Google and Uber’s involvement.

Via: BBC

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