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Especially, the smartphone-like simple operation provides quite a good user experience. "SONY XPERIA L3 GETS FCC CERTIFICATION – MASSIVE CHIN & TOP-BEZEL" Sony Xperia L3 gets FCC certification – massive chin & top-bezel In recent times, a number of Sony Xperia smartphones have been certified at ECC and are expected to be unveiled as Sony Xperia XA3, XA3 Ultra, and Xperia L3. Today, s shows that one of the phones, Xperia L3, has been certified by the FCC in the US and is expected to be released soon. The FCC certification document shows that the diagonal length of the phone is 165.6 mm, which means that the display should be 5.73 inches (145.6 mm), which is quite close to the number 5.7-inch exposed by OnLeaks. A schematic diagram in the certification document depicts the outline of the phone. It can be said that this phone is still familiar with the Sony flavor: no notch, no full screen, huge chin, and the “thickness” of the top-bezel is quite massive.

In addition, the right side of the fuselage layout seems to house all the physical buttons, the power button, fingerprint scanner, and volume button are all located on this side. The SIM card slot is set on the left side of the phone. In October of this year, OnLeaks showed off the rendering of the phone on Twitter, which showed that the phone will adopt a rear dual-camera design. However, at a time when the full-screen display is a massive trend in the smartphone industry, these huge bezels will certainly not be appealing to many potential buyers.

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"STEP AWAY FROM THE AI FANFARE AND FOCUS ON SOFTWARE RELIABILITY" Step away from the AI fanfare and focus on software reliability Here is a challenge for you: go to any popular technology trade show and attempt to escape the talk tracks that focus on AI. AI is still very much en vogue, the zeitgeist that promises to be the cornerstone of the technical defining moments of this decade. However, while AI is undoubtedly going to change everything, in some ways it is simply the poster child for code that executes more intelligently than it did before. My favourite (tongue-in-cheek) definition of AI is anything that computers can do well today that they couldn’t do ten years ago. Decades ago that was playing chess; today it’s playing Go or driving a car. The user scenarios demonstrated at the tech shows are still a pipe dream for many developers.

Examples of AI systems in Tesla’s automated cars and Google’s Deep Mind AlphaGo which beat the world champion of Go, are complex intelligent systems far from the everyday ones that typical engineering teams deal with. It’s a bit like teenage sex – everyone is talking about it but few are doing it. AI threat to jobs When AI is not heralded as the next imperative, it is vilified as being the grim reaper set to destroy humanity, or at least to steal our jobs. Since the Industrial Revolution, automation has progressively replaced workforces, from the Jacquard Loom and agricultural mechanisation to automated supermarket checkouts and online accounting software. In reality, nearly all business applications created today are still based on traditional software.

When it comes to jobs, humans will continue to work alongside automated systems, roles will evolve to account for the management of , complex systems and human decision-making will go hand and hand with their development. While many senior software engineers within tech companies are charged by the executive team to “implement AI”, they are all still dealing with business applications based on conventional software. In a world where about 95 percent of ATM transactions use COBOL, and at a time when a range of products remain built on decades-old code, AI headlines distract from the real software reliability issues at play.