Nokia 3310 review | Hands on with Nokia's retro phone

If you’re going to trade on nostalgia for a brand, you might as well trade on nostalgia hard. That’s clearly the thinking at Nokia, which has managed to overshadow its own range of new Android smartphones with the announcement of a phone that doesn’t have a touchscreen, won’t let you install any apps, and doesn’t do much of anything except make calls and play Snake: the Nokia 3310.

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That’s right, Nokia is ready to party like it’s 2000, with a sort-of re-release of one of its most iconic feature phones. Strictly speaking, this is more of a combination of a few of Nokia’s old devices – along with a handful of modern conveniences – so it should feel immediately familiar to anyone who’s ever held a clunky ‘90s phone. We’ve had a bit of time to go hands-on with the new budget phone at Mobile World Congress 2017 – find out what we thought in our Nokia 3310 review.

Nokia 3310 UK price and availability

There’s no firm UK release date for the Nokia 3310, but we know that we can expect it some time in Q2 2017 – which means some time between April and June. We’ll update this when we have more exact information.

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As for price, the 3310 will sell for €50 (£42), placing it firmly at the budget end of the market – no-one’s expecting this to be an iPhone killer. As with the release date, no firm UK price has been announced yet, but we’ll update this when one is.

Nokia 3310 design

The new 3310 is both immediately familiar and subtly original. If you were hoping to buy a new phone that looks identical to the 2000 model, then we’re afraid you’ll be disappointed – the new version has undergone a redesign. For one, there’s a much bigger screen (a whopping 2.4in) that stretches most of the way to the top edge, while the buttons are all chunkier and rounder.

As a whole though, it’s still small and light, measuring just 115.6 x 51 x 12.8 mm. It feels much more compact than we remember the old 3310 being, but it doesn’t feel any less tough (the original was almost indestructible). Build quality is high, with a comfortable weight, attractive finish, and satisfyingly clicky buttons. Light as it is, the 3310 feels solid – this is a phone you’d be happy to knock about, in a way that you probably wouldn’t with a Pixel or iPhone.

The 3310 also now comes in four colours: Warm Red, Yellow, Dark Blue, and Grey, so you can be as cheerful or as sombre as you like. All the colours look great, with bold tones that are nicely offset by the white accents, but we’re particular fans of the red and yellow variants – they really highlight the chunky, playful aesthetic that Nokia is going for. It’s worlds away from the plain black monoliths we’re used to from the smartphone world, with sleek curves instead of sharp corners.

Nokia 3310 features

Let’s be honest, this is going to be a bit of a short section. The Nokia 3310 can make calls and send texts. It can play MP3s and FM radio. It can take photos. It can browse the internet, email and Twitter. It can play Snake. What it can’t do – and this may make your purchasing decision for you – is WhatsApp and Facebook.

Read next: Nokia Android tablet news

Your current phone can probably already do all of that (well, except maybe Snake). But you know what your phone can’t do? Manage 22 hours of talk time on a single charge. Or survive a full month on standby. And other than the pure nostalgia kick, that’s where the 3310 is going to come into its own. It’s not going to replace your smartphone, but it might become your backup, or the phone you take on holiday or to festivals.

Nokia 3310 hardware and specs

Thanks to the simple functionality, it doesn’t take a big battery to keep the 3310 going – even for a full month – it’s packing just 1200 mAh. Elsewhere, there’s that 2.4in QVGA screen, a headphone jack, Micro-USB charger, and 16MB of internal memory. You’ll want to supplement that with a MicroSD card though (it supports up to 32GB), because that’s how you’ll need to store photos from the 2MP camera – something the original model definitely didn’t feature.

Read next: Budget smartphone reviews

As for connectivity, there’s Bluetooth 3.0 and support for 2G – so while you can technically browse the web on this, you probably won’t be loading anything fast. Finally, software-wise it runs an updated version of Nokia’s old Series 30 operating system, meaning it should be instantly familiar to most users. It takes a few minutes of adjustment to remember that you can’t use the touchscreen (when did pushing physical buttons begin to feel so old fashioned?) but the muscle memory soon kicks in.

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HP’s slim new all-in-one PC means serious business

HP has revealed a number of fresh business PCs, spearheaded by an all-in-one which boasts some really neat features including vanishingly thin bezels and optional pop-up webcams.

This is the redesigned EliteOne 800 G3 (third-generation) which HP notes is the first commercial all-in-one computer to include dual-facing cameras – these are pop-up webcams, as mentioned, with infrared support, allowing for Windows Hello logins.

The machine sports a 23.8-inch non-glare touchscreen with a Full HD resolution, and the bezels on three sides are very thin (with the bottom bezel being thicker because it contains the integrated speaker – with audio by Bang & Olufsen, incidentally).

The thin bezel means the EliteOne 800 not only looks aesthetically pleasing, but if you’ve got several of the PCs situated next to each other in multi-monitor fashion, the displays blend seamlessly. This computer also has an adjustable stand.

In terms of the spec, there’s a Kaby Lake processor, and you can run with the integrated graphics or plump for a discrete AMD Radeon GPU for a bit more oomph. Pricing hasn’t yet been revealed.

Tower power

Alongside this nifty all-in-one, HP also unveiled several desktop and tower PCs, including the EliteDesk 800 G3 Tower which is being billed as the ‘world’s most powerful commercial desktop’, and a VR-ready machine.

It can be specified with a Kaby Lake processor (up to a Core i7-7700), and up to 64GB of system memory along with a varied selection of storage options (which include HP’s 1TB Turbo Drive G2, an NVMe SSD). Prices currently start at around $890 (about £730, AU$1,175).

Described as its smaller sibling, the HP EliteDesk 800 G3 Desktop Mini is designed for those who want a computer that takes up the minimum amount of desk space. It comes in 35W or 65W models, equipped with a Kaby Lake CPU, Intel Optane memory and Windows 10 Pro. Prices start at $799 (about £660, AU$1,055).

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Apple, Samsung and Microsoft react to Wikileaks' CIA dump

Several of the tech firms whose products have been allegedly compromised by the CIA have given their first reactions to the claims.

Wikileaks published thousands of documents said to detail the US spy agency’s hacking tools on Tuesday.

They included allegations the CIA had developed ways to listen in on smartphone and smart TV microphones.

Apple’s statement was the most detailed, saying it had already addressed some of the vulnerabilities.

“The technology built into today’s iPhone represents the best data security available to consumers, and we’re constantly working to keep it that way,” it said.

“Our products and software are designed to quickly get security updates into the hands of our customers, with nearly 80% of users running the latest version of our operating system.

“While our initial analysis indicates that many of the issues leaked today were already patched in the latest iOS, we will continue work to rapidly address any identified vulnerabilities.

“We always urge customers to download the latest iOS to make sure they have the most recent security update.”

Samsung – whose F8000 series of televisions was reportedly compromised via a hack co-developed with the UK’s MI5 agency – was briefer.

“Protecting consumers’ privacy and the security of our devices is a top priority at Samsung,” it said.

“We are aware of the report in question and are urgently looking into the matter.”

The leaks also claimed that the CIA had created malware to target PCs running Microsoft’s Windows operating system.

“We are aware of the report and are looking into it,” a spokesman from Microsoft said.

Google declined to comment about allegations that the CIA was able to “penetrate, infest and control” Android phones due to its discovery and acquisition of “zero day” bugs – previously unknown flaws in the operating system’s code.

Likewise, the Linux Foundation has yet to publicly react to claims the agency had created “attack and control systems” that could hijack computers powered by Linux-based software.

‘Incredibly damaging’

The CIA has not confirmed whether the documents are real.

But one of its former chiefs was concerned by their publication.

“If what I have read is true, then this seems to be an incredibly damaging leak in terms of the tactics, techniques, procedures and tools that were used by the Central Intelligence Agency to conduct legitimate foreign intelligence,” ex-CIA director Michael Hayden told the BBC.

“In other words, it’s made my country and my country’s friends less safe.”

But one expert said the fact that the CIA had targeted such a wide range of technology was no surprise.

“The story here isn’t that the CIA hacks people. Of course they do; taxpayers would be right to be annoyed if that weren’t the case,” blogged Nicholas Weaver, a security researcher at the International Computer Science Institute in Berkeley.

“The CIA’s job, after all, is [to] collect intelligence, and while its primary purview is human intelligence, hacking systems interacts synergistically with that collection.

“The actual headline here is that someone apparently managed to compromise a Top Secret CIA development environment, exfiltrate a whole host of material, and is now releasing it to the world… now the world wants to know who, and how, and why.”

Embarrassment factor – Analysis by BBC’s security correspondent Gordon Corera

These latest leaks – which appear to give details of highly sensitive technical methods – will be a huge problem for the CIA.

There is the embarrassment factor – that an agency whose job is to steal other people’s secrets has not been able to keep its own.

Then there will be the fear of a loss of intelligence coverage against targets who may change their behaviour because they now know what the spies can do.

And then there will be the questions over whether the CIA’s technical capabilities were too expansive and too secret.

Because many of the initial documents point to capabilities targeting consumer devices, the hardest questions may revolve around what is known as the “equities” problem.

This is when you find a vulnerability in a piece of technology and have to balance the benefit to the public of telling the manufacturer so they can close it and improve everyone’s security with the benefit to the spy agency of leaving it in place so it can be exploited to collect intelligence.

The National Security Agency faced questions about whether it had this balance right when many of its secrets were revealed by Edward Snowden, and now it may be the CIA’s turn.

Read more from Gordon

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Nvidia Doubles Down On Embedded AI With New Jetson TX2 Chip

Nvidia unveiled the Jetson TX2, which the company will target at customers who want “AI at the edge,” or in other words, embedded artificial intelligence that can be put into robots, smart cameras, and other IoT devices.

AI At The Edge

Nvidia has reaped many rewards for creating powerful chips that can be used to train advanced neural networks, which are described as “artificial intelligence” (AI) today. However, cloud-provided AI is not always needed or even wanted on most IoT devices that require only basic intelligence and vision capabilities.

As we saw last year with Movidius’ Fathom stick, there are already specialized vision processors that can offer such capabilities, and we’re only going to see more of them. In fact, some of the latest high-end mobile chips we’ve seen announced recently, such as the Samsung Exynos 8895 and MediaTek’s Helio X30, come with embedded vision processors. These chips will start offering enhanced computational photography at first, but developers will likely be able to expand their use beyond that.

Nvidia is now trying to stay ahead of this competition with its own Jetson TX2 processor, which promises a high-performance and a high-efficiency dual-mode operation for embedded devices. The chip can run at either double the performance of the previous Jetson TX1 generation, or it can run at similar performance at half the power (7.5W).

Nvidia seems to have realized that some customers are happy with a lower power chip, even if it comes with lower performance, so the new Jetson TX2 module should offer them a little more flexibility.

At half the power (and performance similar to the Jetson TX1), the Jetson TX2 can still enable “edge devices” to do smart things such as image classification, navigation, and voice recognition.

Jetson TX2 Specs

Nvidia seems to have stuck with a Cortex-A57 CPU for this generation, too, just like it did for the Jetson TX1. However, it added two “Denver 2” cores, as well. The company hasn’t given too many details about Denver 2 yet, other than the fact that the whole chip can deliver “50 to 100 percent higher multi-core CPU performance than other mobile processors.”

The configuration seems to be similar to what we saw last year in the “Parker” module, which is at the heart of the company’s autonomous driving systems (Drive PX 2 comes with two Parker modules).

Nvidia has also doubled the amount of RAM (from 4GB to 8GB) and storage (from 16GB to 32GB), and it has almost doubled the bandwidth of the six supported cameras (from 1.4 Gpix/s/lane to 2.5 Gbps/lane).

Jetpack 3.0 Doubles System Performance

Nvidia, as the primary beneficiary of the machine learning boom, knows that software can be just as important as the hardware. Last year, the company launched Jetpack 2.3, which promised double the inference performance on the same chip. Nvidia is now also claiming twice the system performance with Jetpack 3.0, due to an optimized Linux 4.4 kernel and a new multimedia API.

The Jetpack 3.0 SDK supports multiple software libraries, frameworks, and APIs that are are relevant to machine learning, including:

  • TensorRT – Nvidia’s high-performance neural network inference engine
  • cuDNN 5.1 – a GPU-accelerated library of primitives for deep neural networks
  • VisionWorks 1.6 – a software development package for computer vision and image
  • The latest graphics API: Vulkan 1.0, OpenGL 4.5, OpenGL ES 3.2, and EGL 1.4
  • CUDA 8: Nvidia’s parallel computing platform that allows its GPUs to do general purpose computation


The Jetson TX2 developer kit, which includes the carrier board and the Jetson TX2 module, can be pre-ordered in the U.S. and Europe for $599, starting today, and it will ship on March 14. The kit will be available in other regions in the coming weeks.

The production-ready Jetson TX2 will be available in Q2 for $399, in quantities of 1,000 units or more, from Nvidia and its distributors.

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Nvidia’s new Jetson TX2 is the credit card-sized AI brain of the future

Components manufactures are always looking to push the boundaries of what silicon can do, and to that end Nvidia is back with a pocket-sized super computer of sorts in the Jetson TX2.

Squeezed into the size of a credit card, the Jetson TX2 platform will support artificial intelligence (AI) computing in everything from factory robots to commercial drones to smart video cameras scattered around cities. TX2 takes AI computing up a notch by powering smarter machines in a smaller package, one that measures only 50mm x 87mm (2in x 3.4in). 

Jetson TX2 is proceeded by the Jetson TX1 and TK1, and Nvidia claims it offers twice as much performance and efficiency over the TX1. In that state, the Jetson TX2 draws less than 7.5 watts of power. 

The system is sort-of like an Arduino on steroids, with functions that include voice and facial recognition, navigation and object detection. Partners for Nvidia’s new Jetson include Cisco, Live Planet, MIT, Toyota and Toshiba.

At a launch event in San Fransisco, Nvdia demonstrated how Jetson TX2 recognizes other cars in the road, including in rainy conditions. 

Nvidia has been a long-time proponent of self-driving cars and other AI systems, and Jetson TX2 seems to be another step in its mission to support hyper-intelligent machines that perform critical functions, now and into the not-so-distant future. 

Nvidia Jetson TX2 specs

Among the Jetson TX2’s specs are a 256-core Nvidia Pascal-based GPU, upgraded from Maxwell on the Jetson TX1. Dual 64-bit Nvidia Denver 2 chips and a Quad ARM A57 comprise the CPU, and the memory has been pumped up from 4GB LPDDR4 to 8GB LPDDR4. 

Jetson TX2 features 32GB eMMC of on-board storage, Bluetooth connectivity, and it supports 4K video two times over at 60 frames-per-second encode and decode. Finally while Jetson TX1 was powered by the Tegra X1 SoC, Jetson TX2 is backed by Nvidia’s newer Parker system-on-a-chip, which also powers the company’s autonomous driving systems.

Nvidia’s Jetson is an open platform, meaning anyone – from students to makers to major corporations – can use its SDK to create AI systems. 

You can pre-order the Jetson TX2 Developer Kit (includes carrier board and Jetson TX2 module) right now in the US and Europe for $599 (about £490, AU$790). Shipments will start heading out on March 14, and availability will open up in other regions “in the coming weeks.”

Nvidia and its global distributors will make the Jetson TX2 module available in Q2 for $399 (£330, AU$525) when you order quantities of 1,000 or more. Last but not least, the Jetson TX1 Developer Kit price is now just $499 (about £410, AU$660).

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Jaguar ad 'encouraged unsafe driving' rules watchdog

An advertorial article published in the Guardian about a new Jaguar car has been rebuked by the UK’s Advertising Standards Authority (ASA).

The regulator said the story was “irresponsible” because it was likely to encourage unsafe driving practices.

The text had described drivers using in-built smart technology to check their calendars and use other apps while on the road.

A spokesman for Jaguar Land Rover said it was “disappointed”.

“For all of the connected car technologies we offer our customers, we will always offer what is safe to do whilst driving,” he added.

“The hands-free technology in the Jaguar XE has been developed and tested to allow users to put their phone safely and legally away, and give priority to focus on the driving experience.”

The ASA acknowledged that using a hands-free mobile phone was not illegal and that the article had stated that the technologies in question could be used “without compromising safety”.

But it noted that the UK’s Highway Code states that the use of hands-free kit can be a distraction, and that motorists should stop to make or take calls.

“The advertorial featured the headline claim that ‘drive time is no longer downtime’,” it said in its judgement.

“We considered readers would interpret this to mean that drivers could now perform various other tasks while driving.”

The ASA also called attention to an “early adopter” of the car interviewed in the piece.

Prof David Bailey was quoted as saying he could use apps through the car’s infotainment system.

“If I need to do an interview while I am going somewhere I can do it on the move and don’t have to stop,” he added.

The Aston Business School lecturer was surprised when the BBC told him of the ruling.

“I was not told that I was being interviewed for an advertorial, and the comments were part of a much longer interview about driverless cars and the future,” he said.

“They were certainly not intended to encourage any behaviour that might compromise safety”.

A spokeswoman for the Guardian did not respond to questions about the use of Prof Bailey’s comments, but issued a brief statement.

“We received a complaint about the advertorial in question and consequently withdrew the ad and have not republished it,” the statement said.

“We accept the ASA’s ruling.”

The authority has also told Jaguar Land Rover that its future advertising must not encourage drivers to perform tasks that might distract their attention from the road.

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Robots can read your mind to fix their mistakes

Imagine a robot stacking boxes in a warehouse when it suddenly sees that one box is in the wrong stack. It goes back and puts the container in the right place. How did the machine know it had made a mistake?

The robot’s human boss didn’t punch any codes into a computer to have the robot correct its mistake. The boss didn’t say a word. She simply looked over, recognized the robot’s error, and the robot was able to recognize her thoughts and correct its mistake.

This may sound like a scene out of a sci-fi movie but it’s close to reality.

Scientists from Boston University and MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have joined efforts to develop brain-controlled robots.

The goal is to make robots a more natural extension of humans, so that the human/robot relationship becomes more of a partnership.

“The process brings us one step closer to seamless interaction between robots and humans,” said Frank Guenther, a BU professor of neuroscience. “I think it will allow humans to easily interact with multiple robots.”

The project, which has been in the works for about two years, is intended to enable a robot to detect a signal in a human brain that recognizes an error.

The simple act of a human noticing a mistake leads to a fairly robust brain signal that can be detected outside the person’s scalp, according to Guenther.

In the MIT/BU project, Guenther said a person in the human/robot partnership wears a skullcap with electroencephalography (EEG) sensors that monitor and record the user’s brain activity.

The researchers’ machine-learning algorithms enable the “feedback system” to classify brain waves, such as signals created when the person notices a mistake, in the space of 10 to 30 milliseconds.

The robot then picks up on that particular brain signal and corrects its actions because of it.

“It turns out that just the act of noticing the mistake leads to a fairly robust brain signal that we can pick up outside the scalp with these EEG electrodes,” said Guenther. “This provides an example of reading the mind of a human, using perfectly safe, non-invasive technology.”

In the experiment, the robot is told to pick up one of two cups. A human observer is told which cup the robot is supposed to pick up. If the robot does not pick up the correct cup, it will recognize the human’s brain signal indicating that the robot has made a mistake. The robot will then stop, correct itself and reach for the other cup.

“These signals can dramatically improve accuracy, creating a continuous dialogue between human and robot in communicating their choices,” said CSAIL research scientist Stephanie Gil, in a statement.

Such an ability could one day be transferred to robots working in the home or in the enterprise.

“With a system that a worker could wear, we can use the information from the user’s brain without them having to do anything,” Guenther said. “It’s an effortless process for the user, and they’re simply watching for something to go awry.”

Guenther acknowledged that robots being able to read humans’ brains might make some people nervous, but he said that’s not an issue at this point.

“This system requires a very sophisticated and expensive set of equipment to read these signals,” Guenther explained. “We’re nowhere near a system that can read the mind of someone who is not a willing participant. The technology isn’t about reading random people’s minds, but just for people who are wearing equipment that will let that happen.”

He added that the researchers are working to strengthen their algorithms and make the system more efficient.

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