LG Optimus 2X -- world's first dual-core smartphone
LG Electronics today unveiled the LG Optimus 2X, the worlds first smartphone with a dual-core processor. Along with more powerful multimedia features, the LG Optimus 2Xs high-performance Tegra 2 processor makes for faster, smoother web browsing and applications and lets users multitask with virtually no screen lag.
Dual-core technology is the next leap forward in mobile technology so this is no small achievement to be the first to offer a smartphone utilizing this technology, said Dr. Jong-seok Park, CEO and President of LG Electronics Mobile Communications Company. With unique features such as HDMI (High Definition Multimedia Interface) mirroring and exceptional graphics performance, the LG Optimus 2X is proof of LGs commitment to high-end smartphones in 2011.
Developed by graphics processor powerhouse NVIDIA, the dual-core Tegra 2 system-on-a-chip found in the LG Optimus 2X runs at a clock speed of 1GHz and boasts low power consumption and high performance for playing video and audio. Users will experience faster web browsing and smoother gameplay compared with single-core processors running at the same speed as well as instantaneous touch response and seamless multitasking between applications.
The LG Optimus 2X offers 1080p HD video playback and recording with HDMI mirroring that expands content on external displays to full HD quality. The LG Optimus 2X can connect wirelessly to any DLNA (Digital Living Network Alliance) compatible digital device such as HD TVs for a console-like gaming experience taking full advantage of the phones HDMI mirroring, accelerometer and gyro sensor. Thesmartphone also includes both rear- and front-facing cameras, microSD memory expandability, Micro-USB port and a hefty 1500mAh battery. The LG Optimus 2X will be available in Korea next month with countries in Europe and Asia to follow. The phone will initially be released with Android 2.2 (Froyo) and will be upgradeable to Android 2.3 (Gingerbread).
Key specifications:
1Ghz dual-core processor (NVIDIA Tegra 2)
4-inch WVGA screen
8GB memory (up to 32GB via microSD)
1,500 mAh battery
8 megapixel rear camera and 1.3 megapixel front camera
HDMI mirroring
1080p MPEG-4/H.264 playback and recording
Source: LG Electronics
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Dec 16, 2010
Rank: 1 / 5 (4)
With 2 cameras, networking, and double the memory and about 8 or 10 times the processor of my first desktop PC back in the 1990's.
When are our brains going to catch up to the capabilities of our gadgets?
When are we going to develop useful applications for these beyond just gaming and communication and trading? Ok, so there's some, but come on...this is incredibly mindblowing that we have a dual core camera-phone-pc.
I mean add an infrared camera and a radar or sonar and we can start calling these things "tricorders".
Gyroscope!?! Accelerometer!?!
"Tricorder detects no signs of intelligent life captain!"
Dec 17, 2010
Rank: not rated yet
Dec 17, 2010
Rank: not rated yet
I've had to reflow so many Nvidia laptops and seen people swear they'll never buy Nvidia for any mobile solution.
Hopefully Nvidia have learnt from thier past mistakes for which the suckers buying Nvidia laptops have paid dearly.
Dec 17, 2010
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Now we just need some high quality games/apps on Android as they are few and far between at present.
Dec 17, 2010
Rank: 3 / 5 (2)
Perhaps you need to pay a little more attention in class.
Dec 17, 2010
Rank: 1 / 5 (2)
1) I worked in a factory with vision finding technology exceeding that...five years ago...using an THEN out-dated single core celeron processor.
2) Have you played a Wii or X-box lately?
3) Combine 1 and 2 above and it's easily superior to your eyes, and this phone could run the software for all of the video, infrared, and motion detection simultaneously, because it's processing power is nearly double what that celeron was 5 years ago.
Dec 17, 2010
Rank: 4.5 / 5 (2)
@QC, you are dumb. do you understand what your saying makes no sense at all. i know your a pretty smart guy...and i read your posts all the time...but this? your better than this
Dec 18, 2010
Rank: 5 / 5 (1)
You're speaking utter nonsense here.
Dec 19, 2010
Rank: 1 / 5 (2)
Our BRAIN is more complex, but certainly not individual cells, and certainly not if you only consider their end functional machinery purpose in the body. That's completely ridiculous of you to say that.
I worked in Quality for P&G, you moron. I know what I'm talking about regarding the vision fiding systems.
An individual human cell has a certain degree of complexity that probably exceeds a cell phone, but most of that machinery is for the purpose of feeding itself, growing, and self-replication.
Most of the differentiated cells, and even tissues, in the body are not that complex individually in terms of their "functional" mechanism, and work based on simple, uni-directional ionic stimulus.
Dec 19, 2010
Rank: 1 / 5 (2)
I think you don't know who you're talking to, because you certainly have no idea what I can "envision". I'm always talking about A.I. and nano-technology, and citing life as proof of concept.
The claim that an individual cell is more complex than a computer is BS. It's certainly smaller than existing computers, but to say it's more complex is completely dishonest in every sense of the word.
You can store the blue print of your genome on a hard drive easily. You could store an accurate 3-dimensional map of ever molecule in a cell on a modern computer hard drive easily.
Based on size and avogadros number, we can find the maximum number of molecules in the volume of a cell because water is smaller than anything else in a cell. It's ~1.8 billion molecules. I have 6 gigabytes of RAM on my PC, so my RAM has 80 times as many machines as the number of molecules in a cell, counting water.
Dec 19, 2010
Rank: 1 / 5 (2)
Well gee, there are still about 20 times as many machines (transistors,) in my computer's RAM alone as there are atoms in a cell.
Shall I consider how many "bits" are on a hard drive, or all the other transistors and wires on a motherboard or processor? The processor alone has about as many transistors as there are molecules in a cell, or about 1/4 as many transistors as there are atoms in a cell.
You can prove this based on avogadros number and the volume of a gram of water, and then find the volume of a cell.
Dec 19, 2010
Rank: 5 / 5 (1)
It takes fewer genes to make a complex creature like you or I than it would take lines of code to draw one by a million fold. Then build an exact copy of a functional cell from scratch. Right...
Dec 19, 2010
Rank: 1 / 5 (2)
Apples to oranges.
1) A PC or hand held computer is designed to do a lot of things that you wouldn't need on individual nano-computers.
2) The PC verifiably performs far, far more functions than an indvidual cell could ever perform. The only thing a cell does that a PC can't do (yet) is self-replicate.
Disagree again. "Lines of code" is ridiculous. A modern video game can fit in a couple gigabytes, with all it's 3d models, sounds, game engines, level maps,etc.
The map I mentioned above could even be extremely highly compressed due to repitition.
nano-bots are coming, in a few decades.
Dec 19, 2010
Rank: not rated yet
You have no other manner in which to look at computers. They function based on a field of absolutes and limits. You have millions more complexity constructs on top creating greater flexibility and further environmental adaptivity than you can see from machines at this level.
AI is a very immature field, it can only mimick and cannot innovate, yet. Then you'll need many more decades to even come close to the complexity of biology.
Dec 21, 2010
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COME ON HTC, upgrade batteries to 1500 mAH and go core 2 duo!
Dec 22, 2010
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I think you mis-understand. There are a LOT of people both in America and Europe who are already designing nano tools, nano-engines, and nano-bots, and testing them in computer simulations that use real-world physics.
We're talking about synthetic engines that run on thermo-electric principles, or in some cases, use sugars in much the same way our own body's do.
Intel and others are talking about electronic transistors with 6nm gate by 2020, and 4nm gate by 2022. The 4nm gate demonstrated has 7 silicon atoms.
By comparison with DNA:
4nm gate = 7 silicon atoms.
Mass: 196.599.
size: 4nm * 4nm * 1.33nm.
Adenine: C5H5N5.
mass: 135.13.
size: ~6nm * 7nm* ~2nm.
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So when we say 3-d optical computers, they've basicly already demonstrated all of the components. It's just a matter of design and mass production, which is going to take a while.
Dec 22, 2010
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Dec 23, 2010
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