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Heather Morgan was freed by a judge Monday, best darknet markets pending trial by a federal court.

But her husband Ilya Lichtenstein remains behind bars due to prosecutors’ fears that he could seek immunity in , where he is also a citizen.

Judge Beryl Howell said on Monday that 31-year-old Morgan, referred as ‘Razzlekahn’ due to her rapping background, was no longer held in custody after the government deemed that she wasn’t as involved in the planning of the alleged crimes as her 34-year-ld husband, Ilya Lichtenstein, who was largely in control of the funds. 

The judge also considered Morgan’s health issues as a factor, after she had recently had surgery to remove a lump in her breast.

With follow-up appointments expected, she will be closely monitored with an ankle bracelet GPS monitor while she is under house arrest. 

Morgan has also been given restrictions on computer use, and a ban on carrying out cryptocurrency transactions. 

The defense told the court that both defendants would guarantee to appear for all remaining court dates, and pointed out that both of their families, who were in court, were willing to bet their homes on it.

However, Howell finally ruled that there would be a significant ‘flight risk’ for Lichtenstein and agreed with federal prosecutors who insisted that just a portion of the millions in cryptocurrency that the couple stole could buy a new house or ‘buy each of their parents a private island.’ 

The judge also shared her concerns that Lichtenstein, who is a dual citizen of the United States and Russia, darknet market sites could seek refuge in a eastern European country, where he could possibly be granted immunity.

Federal prosecutors also revealed that Lichtenstein had a file on his computer titled ‘passport ideas,’ which included several darknet market vendors that sell passports, bank cards and other forms of identification. 

The New York couple was arrested earlier in February after they conspired to launder cryptocurrency that was stolen during the 2016 hack of Bitfinex, a virtual currency exchange platform, and currently estimated at $4.5 billion. 

Both are accused of using several techniques to launder Bitcoin, including using fake identifies to create accounts; coding computer programs to execute fast, automated transactions; depositing stolen funds in several accounts across one crypto exchange to cover their previous transactions; converting Bitcoin to other forms of cryptocurrency; and creating U.S.-based business accounts to wire their funds and dark market url make them seem legitimate. 

Over five years, a hacker allegedly laundered 119,754 bitcoin through 2,000 transactions on Bitfinex’s website before transferring the crypto funds into Lichtenstein’s digital wallet. 

The couple could face up to 25 years years behind bars if found guilty. 

Bitfinex is a cryptocurrency exchange registered in the British Virgin Islands.

In August 2016, hackers were able to breach its security firewall before stealing about 120,000 bitcoin from its customers.

The amount that was stolen was worth roughly $70 million at the time, when the price of bitcoin was around $600.

At the time, Bitfinex announced to its customers that they would lose 36 percent of their funds to compensate for dark market 2024 the losses from the incident.

It also created special digital tokens that were able to keep track of customers’ losses. 

Some of the tokens could exchanged for shares of iFinex, the company that operates Bitfinex, while other tokens could be redeemed if the stolen bitcoins were recovered in the future.

The US Department of Justice announced that it would create a special judicial process for victims of the hack to reclaim their losses.

The hackers have never been identified. 

Morgan and dark market darknet market onion Lichtenstein were arrested by federal prosecutors of laundering the bitcoin stolen from Bitfinex, but they are not being accused for actually stealing the bitcoin in the hack.

Authorities were able to recover $3.6B after seizing couple’s private keys to digital wallets after their arrest earlier this month. 

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Denmark and Finland ranked at second and third in the survey of more than 32,000 people from 22 countries which collected data from December 2020 to March 2021.

The data also shows that the Irish felt the most remorse after drinking.   

The survey found that the pandemic saw more experiment with ‘microdosing’ with psychedelics but people on average consumed less , cannabis, cocaine and LSD.  

According to the findings unveiled this week, Australians got drunk an average 27 times in 2021, almost double the global average of 15.

Australians filled up their beer or wine glass with booze two days per week on average, the survey revealed.

It also found Australians regret their intoxication on 24 per cent of occasions – compared to the 21 per cent global average, with women more likely to regret getting drunk than men. 

But the Irish felt the most remorse after drinking this year, regretting it about a quarter of the time. 

The Danish felt the least regretful, and darknet market links were also the second drunkest nation after Australia in 2021.

‘Drank too much too quickly’ was the most common regret, claimed by 49 per cent of those surveyed.

Six per cent said they felt anxious about Covid while four per cent said it was because they ‘hadn’t drank for ages’ due to pandemic restrictions. 

Two percent drank too much at a virtual party. 

Britons joined the United States, Denmark and Finland in the top five drunkest nations after Australia.

France leads the world for the average number of drinks consumed in a year, enjoying more than 132 glasses of booze, followed by New Zealand on 122, while Australians had 106 drinks per year on average.

Despite this, the use of almost all drug classes fell in 2021 compared with last year’s sample.

Alcohol consumption fell to 92.8 per cent to 94 per cent and 51 per cent said they had smoked cigarettes in 2021 compared to 60.8 per cent in 2020.

The report said this could be due to the older age of the sample group or that most drugs were simply used less amidst the pandemic.

People got less drunk over the lockdown and the rate of people seeking emergency help after consuming drugs fell for most substances too. 

However the report’s finding suggest that microdosing, which is when a very small amount of a substance is taken to observe its effects on the body, ‘may be on the increase among those who use psychedelics’.

One in four of this group said they had microdosed with LSD or psilocybin (more commonly known as ‘magic mushrooms’) in the last 12 months.

One third of those who had taken psychedelics before also experimented microdosing with MDMA, ketamine, DMT, and 1P-LSD.

The study also found that although the pandemic may have locked us in, most people who used illegal drugs still obtained substances in-person. 

Where this occurred, people were most likely to get their supply from friends. 

Some 1 in 10 mentioned digital sources and reported darknet market markets for drugs other than cannabis, best darknet market markets which was more often accessed through apps.

The first question of the survey asked respondents to sum up 2020 in one word.

After translating responses the report said that the ‘main theme was a negative sentiment’ towards the year, darkmarket list with ‘sh**’, ‘f***ed’ and ‘challenging’ dominating the general consensus. 

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Washington has announced sanctions against a cryptocurrency exchange it says has worked with ransomware attackers

The United States imposed sanctions Tuesday on cryptocurrency exchange SUEX for its ties to ransomware extortionists, as Washington seeks to crack down on a sharp rise in digital crime attacks.

The move marks the first US sanctions against a virtual currency exchange and they come as President Joe Biden’s administration has been under pressure to act after high-profile hacks and data breaches.

The attacks on a major US oil pipeline, a meatpacking company and Microsoft Exchange email system caused real-world problems and drew attention to the vulnerability to US infrastructure to digital pirates.

The US Treasury Department, which announced the sanctions, did not say if SUEX was implicated in any of those incidents, darknet market lists but noted that 40 percent of the exchange’s known transaction history was linked to “illicit actors.”

“Some virtual currency exchanges are exploited by malicious actors, but others, as is the case with SUEX, facilitate illicit activities for their own illicit gains,” a Treasury statement said, adding they are the first sanctions against a crypto exchange.

As a result of the sanctions, any assets of the platform under US jurisdiction are now blocked and Americans are barred from using SUEX.

– $10 million reward –

Crypto experts from Chainalysis noted large sums had moved through the platform, much of it from suspect sources.

“In Bitcoin alone, SUEX’s deposit addresses hosted at large exchanges have received over $160 million from ransomware actors, scammers and darknet markets links darknet market operators,” said a report from Chainalysis, which provides data on cryptocurrency.

SUEX is registered in the Czech Republic, and has branches in Russia and the Middle East.

Chainalysis said the US designation is important because it “represents significant action” by Washington to combat the money laundering that is key to digital crime.

The United States also issued a fresh warning against companies and individuals paying ransoms to unlock their files seized by ransomware hackers.

It noted that Americans could face penalties themselves if they are involved in making ransom payments as the United States already has a blacklist of people and countries, some of which are linked to ransomware attacks.

Tuesday’s announcement comes after Washington in July offered $10 million rewards for information on online extortionists abroad as it stepped up efforts to halt a sharp rise in ransomware attacks.

This year has seen a slew of prominent ransomware attacks which have disrupted a US pipeline, a meat processor and the software firm Kaseya — affecting 1,500 businesses, many of them far from the limelight.

Some $350 million was paid to malicious cyber actors last year, a spike of 300 percent from 2019, according to the Department of Homeland darknet market site Security.

US officials say many of the attacks originate in Russia although they have debated to what extent there is state involvement.

Russia denies responsibility.

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The deal between Eric Eoin Marques and Justice Department prosecutors is designed to satisfy a judge in Maryland who rejected their original agreement, which called for a prison sentence of 15 to 21 years.

Defense attorneys outlined the new terms in a court filing on Friday.

They said a 21-year prison sentence would be “fair and just” for Marques.

Marques’ lawyers also urged U.S. District Judge Theodore Chuang to impose a condition of supervised release that would allow Marques to live in Ireland, his home nation, after he completes his prison sentence.

Marques, who was 35 in May, is scheduled to enter his updated plea agreement and be sentenced next week.

Chuang isn´t bound by the sentencing recommendation.

During a hearing in May, Chuang described the initial plea agreement as “too flawed” and said he was inclined to give Marques a longer sentence than 15 to 21 years. The judge criticized a provision of the plea deal that wouldn´t give Marques credit for darknet market list six years he spent in custody in Ireland while fighting extradition after his 2013 arrest in Dublin. Chuang said he can´t tell the federal Bureau of Prisons to refrain from counting those years when Marques likely is entitled to get credit for that time.

“It´s not going to be 21 minus 6 to 15. That´s not going to happen,” the judge said.

The new plea deal calls for Marques to receive credit for the time served.

Marques, a dual citizen of the U.S.

and Ireland, pleaded guilty in February 2020 to creating and operating a web hosting service called “Freedom Hosting” on the darknet market between 2008 and 2013.

The darknet market is part of the internet but hosted within an encrypted network. It is accessible only through anonymity-providing tools.

Marques’ service enabled users to anonymously access millions of illicit images and videos, Tor Drug Market many depicting the rape and torture of infants and toddlers.

Investigators found what appeared to be more than 8.5 million images and videos of child pornography on the Freedom Hosting server, according to a court filing that accompanied Marques´ guilty plea.

Marques was living in Ireland dark web marketplaces at the time of the offenses.

He was extradited to Maryland in March 2019. He pleaded guilty to conspiracy to advertise child pornography.

In an April court filing, a prosecutor dark market url darknet market said a government witness was prepared to testify that investigators had identified Marques as the largest purveyor of child pornography in the world and that he had made approximately $3.6 million in U.S.

currency from his servers.

Marques’ lawyers say he made money from his legitimate web-hosting services, not Freedom Hosting.

“Though the contents of many of the websites it hosted were despicable and unlawful, the evidence shows that Freedom Hosting was a free service until just before Mr. Marques´ arrest,” they wrote in Friday’s filing.

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An Australian man was arrested on Monday accused of running a $220million illegal darkweb marketplace – called the biggest in the world and ‘ for criminals’ – after ha was tracked following the bunker’s discovery. 

The joint investigation by Australian Federal Police, Scotland Yard, the , Europol, dark web market and German authorities, among others, arrested the man, 34, as he allegedly tried flee across the Danish border into . 

The man, known only as Julian K, is the alleged operator of DarkMarket and darknet market websites has been detained by German investigators.

DarkMarket was shut down on Monday and its new servers, located in Ukraine and Moldova after relocating from the bunker, were taken off the internet, prosecutors in the city of Koblenz said.

‘Until its closure, DarkMarket was probably the largest marketplace worldwide on the darknet market, with almost 500,000 users and more than 2400 sellers,’ prosecutors said. 

More than 320,000 transactions were conducted via the website including the sale of drugs, counterfeit money, stolen or falsified credit cards, anonymous SIM cards and malware.

The transactions were reportedly worth a total of 4,650 bitcoin and 12,800 monero – two cryptocurrencies – for an equivalent sum of more than $221million. 

The servers will be forensically examined by authorities to uncover information about the website’s operations and criminal network. 

The accused man has already fronted a German court and been denied bail – to be transferred to a German prison in the next few days. 

He has reportedly refused to speak to investigators or darknet market lists court officials. 

German prosecutors said the man was trying to flee Denmark into Germany when arrested and was travelling through Europe either on holiday or dark markets 2024 conducting business for the illegal website. 

They said the investigation around DarkMarket originated after the discovery of the data processing centre run by criminals in the 5,000sqm former unused bunker in south-west Germany. 

The data facility hosted illegal websites, which included DarkMarket temporarily, and was shut down in 2019. 

The building, constructed by the West-German military, in the mid-1970s descended five-storeys below the surface and was built with 31inch thick concrete walls to withstand a nuclear blast. 

A meteorological division of the military used the facility after the Cold War until 2012 to forecast weather patterns where German soldiers were deployed. 

The building was sold to a foundation based in Denmark in 2012 after officials could find no other buyers for the vacant facility. 

A number of people were arrested after the discovery of the data centre – accused of being part of a criminal network and being accessories to hundreds of thousands of illegal transactions involving prohibited material such as drugs and hacking tools. 

Some already went on trial in October. 

The darkweb was originally developed for the United States military but has been overrun by criminals because they can conceal their identity on the platform. 

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COLLEGE PARK, Md. (AP) – A man whom U.S. authorities have described as the world´s largest purveyor of child pornography would be sentenced to 21 to 27 years in prison under the terms of a new plea deal.

The deal between Eric Eoin Marques and Justice Department prosecutors is designed to satisfy a judge in Maryland who rejected their original agreement, which called for a prison sentence of 15 to 21 years.

Defense attorneys outlined the new terms in a court filing on Friday.

They said a 21-year prison sentence would be “fair and just” for Marques.

Marques’ lawyers also urged U.S. District Judge Theodore Chuang to impose a condition of supervised release that would allow Marques to live in Ireland, his home nation, after he completes his prison sentence.

Marques, who was 35 in May, is scheduled to enter his updated plea agreement and be sentenced next week.

Chuang isn´t bound by the sentencing recommendation.

During a hearing in May, Chuang described the initial plea agreement as “too flawed” and darkmarket 2024 said he was inclined to give Marques a longer sentence than 15 to 21 years. The judge criticized a provision of the plea deal that wouldn´t give Marques credit for six years he spent in custody in Ireland while fighting extradition after his 2013 arrest in Dublin. Chuang said he can´t tell the federal Bureau of Prisons to refrain from counting those years when Marques likely is entitled to get credit for that time.

“It´s not going to be 21 minus 6 to 15. That´s not going to happen,” the judge said.

The new plea deal calls for Marques to receive credit for the time served.

Marques, a dual citizen of the U.S.

and Ireland, pleaded guilty in February 2020 to creating and darknet market dark markets 2024 onion operating a web hosting service called “Freedom Hosting” on the darknet market between 2008 and dark web market list 2013.

The darknet market is part of the internet but hosted within an encrypted network. It is accessible only through anonymity-providing tools.

Marques’ service enabled users to anonymously access millions of illicit images and videos, many depicting the rape and torture of infants and toddlers.

Investigators found what appeared to be more than 8.5 million images and videos of child pornography on the Freedom Hosting server, according to a court filing that accompanied Marques´ guilty plea.

Marques was living in Ireland at the time of the offenses.

He was extradited to Maryland in March 2019. He pleaded guilty to conspiracy to advertise child pornography.

In an April court filing, a prosecutor said a government witness was prepared to testify that investigators had identified Marques as the largest purveyor of child pornography in the world and that he had made approximately $3.6 million in U.S.

currency from his servers.

Marques’ lawyers say he made money from his legitimate Dark Web market urls-hosting services, not Freedom Hosting.

“Though the contents of many of the websites it hosted were despicable and unlawful, the evidence shows that Freedom Hosting was a free service until just before Mr. Marques´ arrest,” they wrote in Friday’s filing.

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This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. 

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“Are you a hacker?”

A Las Vegas driver asks me this after I tell him I’m headed to Defcon at Caesars Palace. I wonder if his sweat isn’t just from the 110℉ heat blasting the city.

All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won’t accept printing requests from USB thumb drives. You can’t be too careful with all those hackers in town.

Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a “Wi-Fi cactus.” Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for darknet market links holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.

You’d think that, with all the potential threats literally walking about town, Vegas’ director of technology and innovation, Mike Sherwood, would be stressed out. It’s his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire.

And yet he’s sitting right in front of me at Black Hat, smiling.

His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas’ network for them.

Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves.

Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection.

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Man and machine

At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn’t, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own.

Theoretically.

Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn’t anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high.

Even so, that has protected Las Vegas’ network and thousands of sensors for the last 18 months.

Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago.

“That was the time where we only had one security person on the team,” Sherwood tells me. “That was when I thought, ‘I need help and I can’t afford to hire more people.'”

He’d already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas’ network that was sending out data.

“We didn’t even know,” Sherwood says. “Traditional scanners weren’t picking it up.”  

Pattern recognition

I’m standing in front of a tattoo parlor in , a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops.

I’m convinced the taxi driver dropped me off at the wrong location.

This is supposed to be Vegas’ $1 million Innovation District project? Where are the in the area? Or the ?

I look again at the Innovation District map on my phone. I’m in the right place. Despite the rundown stores, trailer homes and empty lots, this corner of downtown Vegas is much smarter than it looks.

That’s because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They’re tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.

Officials chose the city’s rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There’s just one problem: All those connected devices are potential targets for a cyberattack. That’s where Darktrace comes in.

Sherwood willingly banks on Darktrace to protect the city’s entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That’s how IBM’s Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.

Darktrace, in contrast, doesn’t look at a massive database of malware that’s come before. Instead, it looks for patterns of human behavior. It learns within a week what’s considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone’s computer suddenly starts encrypting loads of files.

Rise of the machines?

Still, it’s probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor darknet markets onion address and director of Carnegie Mellon University’s CyLab Security and Privacy Institute. He predicts it’ll take at least 10 years before we can safely use AI to keep bad things out.

“It’s really easy for AI to miss things,” Brumley tells me over the phone. “It’s not a perfect solution, and you still need people to make important choices.”

Brumley’s team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world’s best hackers at Defcon. They came in last.

Sure, machines can help humans fight the scale and speed of attacks, but it’ll take years before they can actually call the shots, says Brumley.

That’s because the model for AI right now is still data cramming, which — by today’s standards — is actually kind of dumb.

But it was still good enough to , making him the de facto poster child for man outsmarted by machine.

“I always remind people it was a rematch, because I won the first one,” he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the which is why he’s been giving talks around the country on why humans need to work with AI in cybersecurity.  

He tells me machines can now learn too fast for humans to keep up, no matter if it’s chess or cybersecurity. “The vigilance and the precision required to beat the machine — it’s virtually impossible to reach in human competition,” Kasparov says.

Nobody’s perfect

About two months before Defcon, I’m at Darktrace’s headquarters in New York, where company executives show me how the system works.

On a screen, I see connected computers and printers sending data to Darktrace’s network as it monitors for behavior that’s out of the ordinary.  

“For example, Sue doesn’t usually access this much internal data,” Nancy Karches, Darktrace’s sales manager, tells me. “This is straying from Sue’s normal pattern.” So Darktrace shuts down an attack most likely waged by another machine.

“When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,” says Darktrace CEO Nicole Eagan. “It’s hard for humans to keep up with that.”

But what happens when AI becomes the norm? When everyone’s using AI, says Brumley, hackers will turn all their attention on finding the machines’ flaws — something they’re not doing yet.

“We’ve seen again and again, the reason new solutions work better is because attackers aren’t targeting its weaknesses,” he says. “As soon as it became popular, it started working worse and worse.”

About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.

“Machine learning security is not foolproof,” says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses.

“The bad guy can do this with trial and error, and it will cost him months,” Anderson says. “The bot can learn to do this, and it will take hours.”

Anderson says he expects cybercriminals will eventually sell AI malware on darknet markets to wannabe hackers.

For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas’ network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That’s why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in.

Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they’ll never get to what he calls “that last decimal place.”

“You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,” he tells me.

“Human creativity is how we make the difference.”

: Reporters’ dispatches from the field on tech’s role in the global refugee crisis. 

: CNET hunts for darknet market markets dark market onion address innovation outside the Silicon Valley bubble. 

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