San Diego-based Edgybees today announced the launch of Argus, its API-based developer platform that makes it easy to add augmented reality features to live video feeds.
The service has long used this capability to run its own drone platform for first responders and enterprise customers, which allows its users to tag and track objects and people in emergency situations, for example, to create better situational awareness for first responders.
I first saw a demo of the service a year ago, when the team walked a group of journalists through a simulated emergency, with live drone footage and an overlay of a street map and the location of ambulances and other emergency personnel. It’s clear how these features could be used in other situations as well, given that few companies have the expertise to combine the video footage, GPS data and other information, including geographic information systems, for their own custom projects.
Indeed, that’s what inspired the team to open up its platform. As the Edgybees team told me during an interview at the Ourcrowd Summit last month, it’s impossible for the company to build a new solution for every vertical that could make use of it. So instead of even trying (though it’ll keep refining its existing products), it’s now opening up its platform.
“The potential for augmented reality beyond the entertainment sector is endless, especially as video becomes an essential medium for organizations relying on drone footage or CCTV,” said Adam Kaplan, CEO and co-founder of Edgybees. “As forward-thinking industries look to make sense of all the data at their fingertips, we’re giving developers a way to tailor our offering and set them up for success.”
In the run-up to today’s launch, the company already worked with organizations like the PGA to use its software to enhance the live coverage of its golf tournaments.
A group of academics have found three new security flaws in 4G and 5G, which they say can be used to intercept phone calls and track the locations of cell phone users.
The findings are said to be the first time vulnerabilities have affected both 4G and the incoming 5G standard, which promises faster speeds and better security, particularly against law enforcement use of cell site simulators, known as “stingrays.” But the researchers say that their new attacks can defeat newer protections that were believed to make it more difficult to snoop on phone users.
“Any person with a little knowledge of cellular paging protocols can carry out this attack,” said Syed Rafiul Hussain, one of the co-authors of the paper, told TechCrunch in an email.
Hussain, along with Ninghui Li and Elisa Bertino at Purdue University, and Mitziu Echeverria and Omar Chowdhury at the University of Iowa are set to reveal their findings at the Network and Distributed System Security Symposium in San Diego on Tuesday.
“Any person with a little knowledge of cellular paging protocols can carry out this attack… such as phone call interception, location tracking, or targeted phishing attacks.” Syed Rafiul Hussain, Purdue University
The paper, seen by TechCrunch prior to the talk, details the attacks: the first is Torpedo, which exploits a weakness in the paging protocol that carriers use to notify a phone before a call or text message comes through. The researchers found that several phone calls placed and cancelled in a short period can trigger a paging message without alerting the target device to an incoming call, which an attacker can use to track a victim’s location. Knowing the victim’s paging occasion also lets an attacker hijack the paging channel and inject or deny paging messages, by spoofing messages like as Amber alerts or blocking messages altogether, the researchers say.
Torpedo opens the door to two other attacks: Piercer, which the researchers say allows an attacker to determine an international mobile subscriber identity (IMSI) on the 4G network; and the aptly named IMSI-Cracking attack, which can brute force an IMSI number in both 4G and 5G networks, where IMSI numbers are encrypted.
That puts even the newest 5G-capable devices at risk from stingrays, said Hussain, which law enforcement use to identify someone’s real-time location and log all the phones within its range. Some of the more advanced devices are believed to be able to intercept calls and text messages, he said.
According to Hussain, all four major U.S. operators — AT&T, Verizon (which owns TechCrunch), Sprint and T-Mobile — are affected by Torpedo, and the attacks can carried out with radio equipment costing as little as $200. One U.S. network, which he would not name, was also vulnerable to the Piercer attack.
The Torpedo attack — or “TRacking via Paging mEssage DistributiOn. (Image: supplied)
We contacted the big four cell giants, but none provided comment by the time of writing. If that changes, we’ll update.
Given two of the attacks exploit flaws in the 4G and 5G standards, almost all the cell networks outside the U.S. are vulnerable to these attacks, said Hussain. Several networks in Europe and Asia are also vulnerable.
Given the nature of the attacks, he said, the researchers are not releasing the proof-of-concept code to exploit the flaws.
It’s the latest blow to cellular network security, which has faced intense scrutiny no more so than in the last year for flaws that have allowed the interception of calls and text messages. Vulnerabilities in Signaling System 7, used by cell networks to route calls and messages across networks, are under active exploitation by hackers. While 4G was meant to be more secure, research shows that it’s just as vulnerable as its 3G predecessor. And, 5G was meant to fix many of the intercepting capabilities but European data security authorities warned of similar flaws.
Hussain said the flaws were reported to the GSMA, an industry body that represents mobile operators. GSMA recognized the flaws, but a spokesperson was unable to provide comment when reached. It isn’t known when the flaws will be fixed.
Hussain said the Torpedo and IMSI-Cracking flaws would have to be first fixed by the GSMA, whereas a fix for Piercer depends solely on the carriers. Torpedo remains the priority as it precursors the other flaws, said Hussain.
The paper comes almost exactly a year after Hussain et al revealed ten separate weaknesses in 4G LTE that allowed eavesdropping on phone calls and text messages, and spoofing emergency alerts.
Artificial intelligence is widely heralded as something that could disrupt the jobs market across the board — potentially eating into careers as varied as accountants, advertising agents, reporters and more — but there are some industries in dire need of assistance where AI could make a wholly positive impact, a core one being healthcare.
Despite being the world’s second-largest economy, China is still coping with a serious shortage of medical resources. In 2015, the country had 1.8 physicians per 1,000 citizens, according to data compiled by the Organization for Economic Cooperation and Development. That figure puts China behind the U.S. at 2.6 and was well below the OECD average of 3.4.
The undersupply means a nation of overworked doctors who constantly struggle to finish screening patient scans. Misdiagnoses inevitably follow. Spotting the demand, forward-thinking engineers and healthcare professionals move to get deep learning into analyzing medical images. Research firm IDC estimates that the market for AI-aided medical diagnosis and treatment in China crossed 183 million yuan ($27 million) in 2017 and is expected to reach 5.88 billion yuan ($870 million) by 2022.
One up-and-comer in the sector is 12 Sigma, a San Diego-based startup founded by two former Qualcomm engineers with research teams in China. The company is competing against Yitu, Infervision and a handful of other well-funded Chinese startups that help doctors detect cancerous cells from medical scans. Between January and May last year alone, more than 10 Chinese companies with such a focus scored fundings of over 10 million yuan ($1.48 million), according to startup data provider Iyiou. 12 Sigma itself racked up a 200 million yuan Series B round at the end of 2017 and is mulling a new funding round as it looks to ramp up its sales team and develop new products, the company told TechCrunch.
“2015 to artificial intelligence is like 1995 to the Internet. It was the dawn of a revolution,” recalled Zhong Xin, who quit his management role at Qualcomm and went on to launch 12 Sigma in 2015. At the time, AI was cereping into virtually all facets of life, from public security, autonomous driving, agriculture, education to finance. Zhong took a bet on health care.
“For most industries, the AI technology might be available, but there isn’t really a pressing problem to solve. You are creating new demand there. But with healthcare, there is a clear problem, that is, how to more efficiently spot diseases from a single image,” the chief executive added.
An engineer named Gao Dashan who had worked closely with Zhong at Qualcomm’s U.S. office on computer vision and deep learning soon joined as the startup’s technology head. The pair both attended China’s prestigious Tsinghua University, another experience that boosted their sense of camaraderie.
Aside from the potential financial rewards, the founders also felt an urge to start something on their own as they entered their 40s. “We were too young to join the Internet boom. If we don’t create something now for the AI era, it will be too late for us to be entrepreneurs,” admitted Zhong who, with age, also started to recognize the vulnerability of life. “We see friends and relatives with cancers get diagnosed too late and end up The more I see this happen, the more strongly I feel about getting involved in healthcare to give back to society.”
A three-tier playbook
12 Sigma and its peers may be powering ahead with their advanced imaging algorithms, but the real challenge is how to get China’s tangled mix of healthcare facilities to pay for novel technologies. Infervision, which TechCrunch wrote about earlier, stations programmers and sales teams at hospitals to mingle with doctors and learn their needs. 12 Sigma deploys the same on-the-ground strategy to crack the intricate network.
Zhong Xin, Co-founder and CEO of 12 Sigma / Photo source: 12 Sigma
“Social dynamics vary from region to region. We have to build trust with local doctors. That’s why we recruit sales persons locally. That’s the foundation. Then we begin by tackling the tertiary hospitals. If we manage to enter these hospitals,” said Zhong, referring to the top public hospitals in China’s three-tier medical system. “Those partnerships will boost our brand and give us greater bargaining power to go after the smaller ones.”
For that reason, the tertiary hospitals are crowded with earnest startups like 12 Sigma as well as tech giants like Tencent, which has a dedicated medical imaging unit called Miying. None of these providers is charging the top boys for using their image processors because “they could easily switch over to another brand,” suggested Gao.
Instead, 12 Sigma has its eyes on the second-tier hospitals. As of last April, China had about 30,000 hospitals, out of which 2,427 were rated tertiary, according to a survey done by the National Health and Family Planning Commission. The second tier, serving a wider base in medium-sized cities, had a network of 8,529 hospitals. 12 Sigma believes these facilities are where it could achieve most of its sales by selling device kits and charging maintenance fees in the future.
The bottom tier had 10,135 primary hospitals, which tend to concentrate in small towns and lack the financial capacity to pay the one-off device fees. As such, 12 Sigma plans to monetize these regions with a pay-per-use model.
So far, the medical imaging startup has about 200 hospitals across China testing its devices — for free. It’s sold only 10 machines, generating several millions of yuan in revenue, while very few of its rivals have achieved any sales at all according to Gao. At this stage, the key is to glean enough data so the startup’s algorithms get good enough to convince hospital administrators the machines are worth the investment. The company is targeting 100 million yuan ($14.8 million) in sales for 2019 and aims to break even by 2020.
China’s relatively lax data protection policy means entrepreneurs have easier access to patient scans compared to their peers in the west. Working with American hospitals has proven “very difficult” due to the country’s privacy protection policies, said Gao. They also come with a different motive. While China seeks help from AI to solve its doctor shortage, American hospitals place a larger focus on AI’s economic returns.
“The healthcare system in the U.S. is much more market-driven. Though doctors could be more conservative about applying AI than those in China, as soon as we prove that our devices can boost profitability, reduce misdiagnoses and lower insurance expenditures, health companies are keen to give it a try,” said Gao.
Apple has announced a major expansion that will see it open a new campus in North Austin and open new offices in Seattle, San Diego and Los Angeles as it bids to increase its workforce in the U.S. The firm said it intends also to significantly expand its presence in Pittsburgh, New York and Boulder, Colorado over the next three years.
The Austin campus alone will cost the company $1 billion, but Apple said that the 133-acre space will generate an initial 5,000 jobs across a broad range of roles with the potential to add 10,000 more. The company claims to have 6,200 employees in Austin — its largest enclave outside of Cupertino — and it said that the addition of these new roles will make it the largest private employer in the city.
Beyond a lot of new faces, the new campus will include more than 50 acres of open space and — as is standard with Apple’s operations these days — it will run entirely on renewable energy.
Apple already has 6,200 employees in Austin, but its new campus could add up to 15,000 more
The investment was lauded by Texas Governor Greg Abbott.
“Their decision to expand operations in our state is a testament to the high-quality workforce and unmatched economic environment that Texas offers. I thank Apple for this tremendous investment in Texas, and I look forward to building upon our strong partnership to create an even brighter future for the Lone Star State,” he said in a statement shared by Apple.
But Austin isn’t the only focal point for Apple growth in the U.S.
Outside of the Austin development, the iPhone-maker plans to expand to over 1,000 staff Seattle, San Diego and LA over the next three years, while adding “hundreds” of staff in Pittsburgh, New York, Boulder, Boston and Portland, Oregon.
More broadly, Apple said it added 6,000 jobs to its U.S. workforce this year to take its total in the country to 90,000. It said it remains on track to create 20,000 new jobs in the U.S. by 2023.
An example of the SamSam ransom note. (Image: SecureWorks)
U.S. federal prosecutors have indicted two Iranian nationals for creating and deploying the notorious SamSam ransomware.
Faramarz Shahi Savandi, 34, and Mohammad Mehdi Shah, 27, were indicted by a federal grand jury in New Jersey on Monday on several counts of computer hacking and fraud charges. The case was unsealed Wednesday, shortly before a press conference announcing the charges by U.S. deputy attorney general Rod Rosenstein.
“The Iranian defendants allegedly used hacking and malware to cause more than $30 million in losses to more than 200 victims,” said Rosenstein. “According to the indictment, the hackers infiltrated computer systems in ten states and Canada and then demanded payment. The criminal activity harmed state agencies, city governments, hospitals, and countless innocent victims.”
Several city municipalities, hospitals and medical centers were also hit by the ransomware.
In total, SamSam has generated some $6 million in proceeds to date — or 1,430 bitcoin at today’s value.
Prosecutors said that nearly every U.S. state had at least one victim — some, including most of the eastern seaboard, had more than six victims.
According to the indictment, Savandi and Mansouri created SamSam in late-2015 and refined it over the following two years. The two allegedly conducted reconnaissance to try to determine potential victims, and launched attacks outside business hours to maximize the damage by preventing mitigations.
Justice Dept. prosecutors say that the SamSam infections caused $30 million in losses and damages.
As Iranian nationals and residents, it’s unlikely that the two will ever face justice in the U.S., but the indictments serve as a “name and shame” effort employed by the Justice Dept. in recent years.
The indictments likely won’t result in extraditions or convictions, but does make it difficult for the alleged ransomware authors to travel freely — running the risk of being detained in a country that has an extradition policy with the U.S.