Google blasted through the coronavirus pandemic with gangbuster earnings, just a week after U.S. prosecutors sued the company for operating a purported illegal monopoly in its flagship search business. Alphabet Inc. reported a third-quarter profit of $11.2 billion, well outstripping analyst estimates. As importantly, digital advertising revenue of $37.1 billion was up compared with last year, marking a turnaround from a quarter earlier, when the company recorded the first drop in the category in company history. Cogs across the Alphabet empire were clicking. Helped by stay-at-home trends, YouTube pulled in more than $5 billion in advertising for the first time, gaining 32% over the same period a year earlier.
The ability of computers to autonomously learn, predict, and adapt using massive datasets is driving innovation and competitive advantage across many industries and applications. The artificial intelligence (AI) is budding faster and prompting businesses to hop aboard the next big wave of computing to uncover deeper insight, quickly resolve their most difficult problems, and differentiate their products and services. Whether the goal is to build a smarter city, power an intelligent car, or deliver personalized medicine, we've only just begun to understand the real potential of AI. For the implementation of AI, HPE OEM has the expertise, edge to core technologies and partner ecosystem to help explore different use cases, experiment with AI and data technologies, and build the solution to be enterprise-ready. HPE OEM will benefit at all stages of the journey from formulating a roadmap through implementation and data migration.
Robots still have some trouble handling the basics when put to the test, apparently. Roborace team SIT Acronis Autonomous suffered an embarrassment in round one of the Season Beta 1.1 race after its self-driving car abruptly drove directly into a wall. It's not certain what led to the mishap, but track conditions clearly weren't at fault -- the car had been rounding a gentle curve and wasn't racing against others at the same time. It wasn't the only car to suffer a problem, either. Autonomous Racing Graz's vehicle had positioning issues that got it "lost" on the track and cut its race short.
A decade after Google launched its self-driving car project now known as Waymo, the idea of a fully autonomous car remains elusive – even for Tesla owners, some of whom got'full self-driving' (FSD) in beta last week. The FSD feature is part of Autopilot from Tesla, but the auto-maker's technology remains a "distant second" to General Motors' less-recognized Super Cruise feature, according to consumer advocate organization Consumer Reports. Consumer Reports says Super Cruise is the best active driver-assistance system on the market for the second year running, followed some way back by Tesla's vaunted Autopilot. Overall, GM's Super Cruise driver assistance system from the Cadillac CTS scores 69 points, followed by Tesla's 57 points in the Model Y, and Ford's more modestly named Co-Pilot, which scores 52 points in its Lincoln Corsair. European and South Korean car makers rank lower than US brands.
The all-new Cadillac Escalade SUV is more like a luxury car than ever before, says Fox News Autos Editor Gary Gastelu. Cadillac has topped Tesla for the second time running in a Consumer Reports test of highway driving assistance systems. The organization evaluated the highway lane-keeping and adaptive cruise control capabilities of 17 different systems and Cadillac's Super Cruise was the clear winner with 69 points to Tesla Autopilot's 57, with the Ford/Lincoln Co-Pilot360 system finishing third with 52. Cadillac had previously finished first in a 2018 test of six systems. The test considered several criteria that included performance, ease of use and the system's ability to monitor whether or not the driver is paying attention to the road.
Online Courses Udemy - Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Sci-Kit Learn Created by Lazy Programmer Inc English [Auto-generated], Spanish [Auto-generated] Students also bought Bayesian Machine Learning in Python: A/B Testing The Complete Python Course Learn Python by Doing Complete Python Developer in 2020: Zero to Mastery Artificial Intelligence: Reinforcement Learning in Python Natural Language Processing with Deep Learning in Python Preview this course GET COUPON CODE Description In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.
Back in 2015, when creative director Clint Hocking and his team began crafting the near-future world of Watch Dogs: Legion, some of the biggest technology companies in the world were confidently describing skies buzzing with package-delivery drones and streets alive with autonomous vehicles. Into the game they went. For a speculative fiction game about mass surveillance, that creates some problems. "Technology companies--Tesla, Amazon--had started talking publicly about pretty aggressive timelines, schedules, and regulations," Hocking said in an interview with WIRED. On October 29, Watch Dogs: Legion will release as both a game and a time capsule from 2015, back when a couple of big, stock-inflating daydreams painted a picture for 2020 that's still far from materializing.
This week Intel launched its Intel Geospatial offering. The platform provides access to a wide range of high-quality 2D and 3D geospatial data and analytic applications through Intel's ecosystem of trusted partners. The platform offers nationwide high-resolution RGB library for rich visual experience and superior analytics. This includes data from satellites, manned aircraft, and unmanned aerial vehicles (UAVs) like drones. Customers can also request data from Mobileye, Intel's autonomous vehicle subsidiary.
Ali Ghodsi is the Co-founder and CEO of Databricks, responsible for the growth and international expansion of the company. He previously served as the VP of Engineering and Product Management before taking the role of CEO in January 2016. In addition to his work at Databricks, Ali serves as an adjunct professor at UC Berkeley and is on the board at UC Berkeley's RiseLab. Prior to founding Arize AI, she was pursuing a PhD in Computer Vision at Cornell and left to found her YCombinator backed startup, MonitorML. Prior to starting her PhD, she spent time as a software engineer at Uber, Apple, and Tubemogul (acquired by Adobe).