Deep learning is giving industry leaders a boost that puts them head and shoulders above the competition. In order to meet this raised bar, companies must stay on the "bleeding edge" of machine learning techniques. In this video, Matt Coatney explains how neural networks can handle heightened levels of abstraction to identify even partially obscured facial features. Executives, managers, and entrepreneurs from either technical or business backgrounds will walk away with a better understanding of recent advances in deep learning and how they can be leveraged in the modern digital economy. Beyond personal photos, innovators can apply the techniques outlined in this video to an array of scenarios, from satellite imagery to warehouse and supply chain management.

Autonomous vehicles are already a common sight on the streets of Silicon Valley, an international hub for self-driving technology. But this month, California set the stage for the next phase of innovation that could dramatically alter transportation and mobility across the globe. The state has proposed regulations to allow fully autonomous vehicles to drive on public roads – meaning empty cars with no steering wheels and no backup driver inside. The new rules are a game-changer for the nascent industry, opening the doors to a host of complex questions about legality, ethics and safety. The regulations, which could go into effect this year, pave the road for a deployment that could revolutionize modern society.

Alphabet's autonomous car unit Waymo is concerned about giving Uber Technologies' internal counsel extensive access to documents it filed under seal in connection with its lawsuit alleging theft of trade secrets and patent infringement by the ride-hailing company. But on Thursday, District Judge William Alsup of the U.S. District Court for the Northern District of California ruled that Nicole Bartow, in-house counsel for Uber, could review material even at the highest level of confidentiality, "given that she has agreed to be bound by the protective order and is hereby ordered to do so." The side-plot in Waymo's dispute with Uber reflects the fierce competition in the burgeoning automated cars market and the particular distrust between the two companies in the current dispute. Waymo has alleged in its complaint that Uber got a head start by pilfering its technology, building its own comparable LiDAR system within nine months. Waymo filed a suit in the California court last month, alleging that a former employee stole trade secrets relating to self-driving cars before leaving to start Otto, a self-driving trucking company that was later acquired by Uber.

The e-commerce giant is introducing the virtual assistant to its shopping app iOS app, letting users converse with the AI on the go. However, the setup is less convenient than Apple's system, as users must to first open the app and then press the microphone icon before chatting – user simply say'Hey Siri' to activate the AI. The update will let iOS users ask Alexa questions, shop, play music and more – just by tapping the microphone icon in the search bar. Users will have the ability to control the slew of smart-home products that Amazon has to offer using Alexa. And iOS users who already use the app to control the smart speaker that houses Alexa, can now do so on the go.

Advancements in AI, Big Data, the Internet of Things and automation have many industries worried that these systems will push them out, absorb their work, make humans redundant, or accelerate the speed of business too fast for them to adapt. From formal models of legal reasoning to automated information extraction from legal databases and texts, the interaction of artificial intelligence and law will disrupt the contemporary status of legal practice. With the latest'wonder automation' in the form of JP Morgan's COIN, building upon the adoption of AI systems by firms such as Clifford Chance, and development projects like Denton's NextLaw Labs leading the way, are lawyers set to be replaced? AI will spell the end of lawyers. However, the age of automation and digitisation gives birth to an even more beautiful legal specialist: the cyber-lawyer – an augmented specialist, combining the processing power of AI with powerful searches of legal indexes in mere seconds through Big Data, produced through a human interface.

With growing criticism over misinformation in search results, Google is taking a harder look at potentially "upsetting" or "offensive" content. SAN FRANCISCO -- With growing criticism over misinformation in search results, Google is taking a harder look at potentially "upsetting" or "offensive" content, tapping humans to aid its computer algorithms to deliver more factually accurate and less inflammatory results. The humans are Google's 10,000 independent contractors who work as what Google calls quality raters. They are given searches based on real queries to score the results, and they operate based on guidelines provided by Google. On Tuesday they were handed a new one: to hunt for "Upsetting-Offensive" content such as hate or violence against a group of people, racial slurs or offensive terminology, graphic violence including animal cruelty or child abuse or explicit information about harmful activities such as human trafficking, according to guidelines posted by Google. The goal: to steer people with queries such as "did the Holocaust happen" to trustworthy websites and not to websites that engage in falsehoods or hate speech.

I have far more interviews recorded than I ever want to transcribe. I speak with people for a living, and record almost all my calls and conversations. There are few ways to tackle this problem, and I've tried most of them: transcribing everything myself (the best method, but only if you can block out a few days), using expensive transcription services, utilizing cheap speech-to-text AI developer tools from Google and IBM, jotting down roughly when each important topic is being talked about corresponding to the recording (my current method), and even just trying to keep interviews more concise (it's like herding cats). Trint wants to end my pain--and yours. Upload an audio or video file, wait a minute or two for it to process, and Trint will spit out a rough transcription in its online text editor.

MIYAZAKI – Labor authorities referred to prosecutors on Thursday the operator of a Japanese language school in Miyazaki Prefecture, suspecting it forced its Indonesian students to work at care facilities owned by the same corporation. Additionally, documents related to Yutaka Shimizu, 70, the head of the group that runs Houei International Japanese Language Academy, and four others were sent to prosecutors for their roles in allegedly forcing six Indonesians into effectively unpaid work between December 2015 and June 2016. The students were allegedly forced to use their wages to pay for tuition fees, according to a local labor standards inspection office. Authorities deemed the Miyakonojo, Miyazaki Prefecture-based school's educational program and labor requirements as inseparable. The school teaches Japanese to students from across Asia who are interested in the medical and welfare fields.

Companies including Apple, Facebook and Google have mysteriously stopped opposing Donald Trump's Muslim ban. The first time it was proposed, almost every major tech company publicly filed briefs against the order. But after it was brought back in a slightly less extreme form, the biggest companies have dropped their opposition to it. A group of 58 technology companies, including Airbnb, Lyft and Dropbox, filed a "friend of the court" brief in the case saying the second order hurt their ability to recruit the best talent from around the world. But that was much shorter than the initial list of companies, which included Apple, Facebook and Google – which filed a brief opposing the first ban in a different court challenge brought by Washington state, which is ongoing.

AXA Insurance has teamed up with alternative business structure rradar to launch what they call "a world first in legal and risk advice", powered by IBM Watson technology. 'Grace' is described as "a machine learning-driven app which engages businesses directly with a virtual assistant to deliver the knowledge and experience of legal and risk management experts". In a statement, the pair said the "intuitive and interactive nature of the app will bring extensive legal and risk expertise direct to business customers, helping to educate and empower them in their risk management". The rradar app will initially be available exclusively to AXA customers registered for online support through their AXA Management Liability product. They will have their legal questions answered either at the touch of a button or simply by asking'Grace' a verbal question.