Artificial Intelligence (AI) has a long history, starting in the 1950s with the theoretical concept of the Turing test and gaining considerable momentum since the early 2000s. This development has been driven by the significant increase in computing power which makes computation-intensive Deep Learning algorithms easy and effortless to handle. The intelligent processing of images (computer vision) and speech (natural language processing) is becoming a routine part of our customers' daily lives as found in mass market applications such as Apple's Siri or Amazon's Alexa. Artificial Intelligence is defined as the imitation of human intelligence or intellectual processes by machines, especially computer systems. These processes include learning, reasoning, and automatic correction.

In Phoenix, cars are self-navigating the streets. In many homes, people are barking commands at tiny machines, with the machines responding. On our smartphones, apps can now recognize faces in photos and translate from one language to another. Artificial intelligence is here -- and it's bringing new possibilities, while also raising questions. Do these gadgets and services really behave as advertised? How will they evolve in the years ahead?

Inference will increasingly take place in apps on smartphones and other "edge" devices. While most phones have chips that can process rudimentary neural nets, additional performance beyond the CPU and GPU is needed for images and language processing. As a result, Huawei's latest Kirin 970 has what it calls a Neural Processing Unit, I believe supplied by Tensilica LLC. The iPhone X has the A11X Bionic chip with a custom silicon block for neural network processing to enable face detection and portrait photography with promises to do more in the future. The Qualcomm Snapdragon 835 accelerates TensorFlow, Caffe, Caffe2, MxNet and Android NNAPI across its CPU, GPU, and most importantly, its DSP.

Almost every major player in the smartphone industry now says that their devices use the power of artificial intelligence (AI), or more specifically, machine learning algorithms. Few devices, however, run their own AI software. That might soon change: thanks to a processor dedicated to machine learning for mobile phones and other smart-home devices, AI smartphones could one day be standard. British chip design firm ARM, the company behind virtually every chip in today's smartphones, now wants to put the power of AI into every mobile device. Currently, devices that run AI algorithms depend on servers in the cloud.

In Phoenix, cars are self-navigating the streets. In many homes, people are barking commands at tiny machines, with the machines responding. On our smartphones, apps can now recognize faces in photos and translate from one language to another. Artificial intelligence is here -- and it's bringing new possibilities, while also raising questions. Do these gadgets and services really behave as advertised?

In Phoenix, cars are self-navigating the streets. In many homes, people are barking commands at tiny machines, with the machines responding. On our smartphones, apps can now recognize faces in photos and translate from one language to another. Artificial intelligence is here -- and it's bringing new possibilities, while also raising questions. Do these gadgets and services really behave as advertised? How will they evolve in the years ahead? How quickly will they overhaul the way we live and change the way we do business? The Times is exploring these matters this week at our annual New Work Summit, featuring technology executives, A.I. researchers, investors and others. Here are some of the key moments coming out of the conference, plus a rundown of some of our recent A.I. stories. -- Cade Metz A month after the Chinese electronics giant Huawei suffered a big setback in its quest to sell its high-end smartphones to Americans, the company's chief for consumer devices, Richard Yu, said he was still optimistic about Huawei's prospects in the United States. "We have won global consumers' trust, in over 170 countries," Mr. Yu said at the New Work Summit. "We very strictly protect consumers' privacy."

Apple's technically impressive HomePod has literally been hacked into pieces, we get a taste of Qualcomm's potent smartphone chip (coming soon) and strap an editor into an Iron Man toy mask in the interests of Journalism with a capital'J'. You may not like the thought of paying Apple a pretty penny to fix the HomePod, but you might have to -- it definitely isn't meant for DIY repairs. An iFixit teardown has revealed a clever design that makes good use of a tiny space, but also nigh-on inaccessible. It appears you can pull the fabric mesh off with a drawstring, but almost everything else requires tearing things apart. Many elements are glued on (including the top and bottom), and there's one seam so thoroughly sealed that iFixit needed a hacksaw and ultrasonic cutter to get in.

LG Electronics has officially announced that it's next smartphone will arrive with a new AI camera feature. The company also confirmed that the new AI camera will be included in the "2018 version of the LG V30" and that it will be first shown off during Mobile World Congress (MWC) 2018 in Barcelona later this month. LG calls its new software as Vision AI, which the company claims makes the camera on the V30 even smarter and easier to use. Vision AI will be able to automatically analyze objects and recommend the best shooting mode. Vision AI will have eight shooting modes: portrait, food, pet, landscape, city, flower, sunrise, sunset.

Amsterdam, Netherlands – February 8, 2018 – Etiya, the leading independent software vendor providing AI and catalog driven BSS/OSS, will showcase its artificial intelligence (AI)-driven customer experience management and self-care solution at Mobile World Congress in Barcelona. As announced in December 2017, Etiya and Openet are jointly providing a Telco as a Service (TaaS) solution, which has been built on the AI-driven end-to-end Digital Business Platform. The two companies now plan to demonstrate TaaS together at Mobile World Congress. TaaS is a cloud-based, modular solution that helps MVNOs and'digital first' sub-brand operators develop their businesses and manage costs predictably. Its subscription model also reduces the risk of an upfront investment.

Today's wireless networks are hugely complex already, and will acquire new layers of sophistication as the industry launches 5G services. Network operators require more dynamic methods to get the best from their infrastructure and services. Artificial intelligence (AI) and machine learning (ML) afford traditional telecoms providers a rare opportunity to reinvent themselves for the new digital age. This webinar considers how operators are already using AI-based applications in marketing, sales and operations, as well as how AI-based technologies can help them to embrace unknowable opportunities presented by the rise of 5G and the internet of things (IoT).