The Speakers of DEF CON 25. Speaker Index. 0 0ctane 0x00string A AlephNaughtHyrum Anderson Ayoul3 Dor Azouri. An encryption method is presented with the novel property that publicly revealing an encryption key does not thereby reveal the corresponding decryption key. The database recognizes 1,746,000 software titles and delivers updates for your software including minor upgrades. Android 1. 0, the first commercial version of the software, was released on September 23, 2008. The first commercially available Android device was the HTC Dream. How mobile asset tracking technologies work and business use cases for tracking assets using barcodes, QR codes, NFC, RFID, or GPS tags. Nfc Encoding Hardware And Software' title='Nfc Encoding Hardware And Software' />Tech Specs. Yesterday Apple revealed the i. Phone X, which had been extremely hyped for years. The highlight feature of the phone in my opinion is clearly its HDR display. Whats the difference between radio frequency identification RFID and nearfield communication NFC Is there a difference Find out at RFIDinsider. Apple is the first mobile vendor to ship end to end support for HDR, while Samsungs Galaxy S8 was the first device to at least feature full hardware support. I wrote about this at great length over the past couple months, so for all the details check out thesethreearticles. The first article was mostly wrong about the UI elements, but overall they were hopefully pretty accurate. Much to my surprise, though, the Xs display really appears to use a diamond Pen. Tile subpixel layout. Nfc Encoding Hardware And Software' title='Nfc Encoding Hardware And Software' />Apples own marketing states that it uses subpixel anti aliasing to tune individual pixels for smooth, distortion free edges. Thats effectively confirmation, and exactly the same as what Samsung Electronics has always done with OLED. This means theres definitively no near term hope that S Stripe can be scaled up economically to large phone panel sizes at high pixel densities. Samsung hasnt been holding back. One thing I will add is that while I appreciate Apples intention with advertising contrast of 1,0. OLED because of the near perfect blacks. Not shipping Pro. While writing down lyrics and Guitar chords with a pen and paper is simple enough, TabBank makes it just as streamlined on your iOS devices. Its as easy as typing. Motion is probably due to power budgeting, though its possibly because of performance constraints. There are pretty much zero surprises on the silicon side overall. I might write more about the A1. IPC improvements are relatively modest. Nfc Encoding Hardware And Software' title='Nfc Encoding Hardware And Software' />I know many people will raise an eyebrow at this, but I would encourage you to completely ignore Geekbench. And I cant emphasize enough how almost everything written online about Apples CPUs is wrong. If you subtract out the efficiency gains from removing 3. CPU IPC for the big cores, assuming equivalent clocks to the A1. Apple could have pushed performance and efficiency further, if not for 1. FF being really bad. Natural Voice Reader. I/81NDDRjsJdL._SX425_.jpg' alt='Nfc Encoding Hardware And Software' title='Nfc Encoding Hardware And Software' />The era of the hyper Moores Law curve in mobile is officially over, in my opinion, though maybe the A1. Its all rough sledding from here on out, based on the state of foundry challenges. The design of the CPU itself is completely unsurprising. Once it was leaked that it was hexacore, it was obvious that the smaller cores would have been designed for a higher performance target than last years Zephyr cores. The design is fully cache coherent but also clearly not ARM SMP. Regarding Apples first custom GPU, well Ill put it this way there are probably even people at Apple who dont really consider it to be fully custom. Personally, I dont consider it to be custom based on what I know, but I cant say more. Sorry to be vague, but its complicated. In terms of performance, Apple only claimed a 3. GPU in the A1. 0 burned too much power in the first place. The reality again is that TSMCs 1. FF is really bad, though, so Apple probably couldnt achieve more. That Apple went with a tri core design is interesting. New architectural features are the biggest thing that Apple is touting, but I know nothing about graphics and cant comment on those. Apple didnt say anything else about other interesting things they did in terms of silicon, so I will also not talk about them. Setting aside the no doubt really expensive IR system, the single most impressive advancement might be the new camera color filter. This is a really big deal, because its insanely hard to improve on the Bayer RGBG color filter array. We havent seen any vendors attempt do this in years in mobile, but it was inevitable some vendor would try again to ship an alternative. Whether Apples implementation is RGBW ala Aptina or another subpixel arrangement, I have no idea. I know essentially nothing about image filtering and demosaicing, so theres nothing more I can say. For the cameras themselves, Apple has finally shipped larger image sensors, though we dont know the pixel size yet. The A1. 1s video encoding performance is also extremely impressive, and its fair to say Apple is way ahead of the competition. K6. 0 encode simply requires a massive amount of data bandwidth. Im not sure at this point if deep learning is being applied in this area or not, but Apple is definitely employing its own special techniques to accomplish this. Face ID seems to be significantly slower than Touch. ID but more secure. I was skeptical about the latter claim, until Apple explained the sensors and the dot projector. That seems like more than enough data, but keep in mind there will be corner case problems, bugs, and oh right sometimes the deep learning classifier will just miss. Reliability and robustness also matter, in other words. And as Apple tried to lightly dismiss, it wont work for identical twins. Overall, Face ID should be considered a convenience regression over Touch ID as a necessary concession for the thin bezels of the display, since Apple failed to get fingerprint recognition to work through the display. It works, but Apple is surely unhappy internally. I almost recently published an article on things I believed Apple needed to improve about the i. Phone. The five areas I was going to highlight were speaker quality, portrait mode quality, shipping a dedicated DLA, camera sensor pixel size, and switching several imaging algorithms to deep learning implementations. As a pleasant surprise, Apple addressed all five of these areas though I had strong hunches it would do so. Waterproofing hurts speaker quality, and the primary speaker in the i. Phone 7 regressed in some regards despite the improvements to volume and dynamic range. Portrait mode on the i. Phone 7 Plus can honestly produce some pretty poor results. The people who work on these algorithms have Ph. Ds in computational photography, though, so I probably shouldnt criticize what I dont know. I dont think the previous implementation used deep learning, but I could be wrong. For portrait mode on the front camera of the i. Phone X at least, Apple appears to have switched to a deep learning implementation, if I understood Phil Schiller correctly. Dedicated deep learning ASICs like Apples Neural Engine are clearly the direction the industry is moving, so its hardly unique or honestly that hard for Apple to do so as well. Inference is too important not to specifically accelerate, so this is something Apple and everyone else clearly need. Implementations should be all over the map and vary quite a bit in terms of results. No one knows how these chips should ideally be designed, so everyone will be experimenting for many years. Apple did disclose a tiny amount of detail on the Neural Engine, such as its being a dual core design, which was nice of them to do. There are also a new accelerometer and gyroscope, which is unsurprising if youre familiar with sensor design standards for VR platforms such as Oculuss Gear VR or Googles Daydream. Previously Apple has preferred to source lower power sensor implementations, so perhaps these new sensors are more accurate but draw greater power. The cameras themselves are now also individually calibrated, which is probably really important. Additionally, there is now hardware codec support for FLAC, which was to be expected given software codec support in i. OS 1. 1. ALAC is basically irrelevant now. The biggest mystery to me going into yesterdays keynote was the i. Phone Xs wireless charging. Since it was revealed to use completely standard Qi charging, I will hazard a guess as to what this is really all about. Tab. Bank Makes Writing Your Own Guitar Music Easier Than Ever. While writing down lyrics and Guitar chords with a pen and paper is simple enough, Tab. Cubase Software Torrent. Bank makes it just as streamlined on your i. OS devices. Its as easy as typing a text. OS There are countless notes apps available for your i. Phone, but Better Notes has a neat littleRead more Read. The app, which released today, is from designer Chris Ladd, who made the guitar lesson app Chord. Bank and note taking app Better Notes. It lets you put together songs with chords, lyrics, and even tablature that you can then print out or share online in PDF form. The app also lets you import existing tabs from the web, so you can tweak them yourself, or use the apps audio preview feature to hear how a solo is supposed to sound. Importing requires a mobile Safari extension, but once you have it installed, just head to your favorite guitar tab sites, find a song you like, and hit the Share button. The song will then appear in the app. But if youre a creative type, writing out your own songs is a cinch because Tab. Bank places your most used chords at the top of the keyboard, so you can write an entire verse in a matter of seconds. And editing and navigating tablature is fast with the apps arrow keys. Also, you can always tap a chord or tab note to see what it sounds like while youre editing your music. You can download Tab. Bank on the i. OS App Store for free and use it to write your own songs. But if you want to share those songs as PDFs, print them, or import someone elses tabs, youll need to upgrade to the Pro version for 7. Ladd says a desktop version is also in the works for later this fall. Learning to play guitar is a difficult, fulfilling, and fun hobby. The web site Riffstation letsRead more Read.