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Edge to Core AI Futures for OEMs


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.

Lytx launches new AI-powered features to help combat distracted driving


Using precise technology, this new driver-powered approach to safety is a simple, but powerful way for drivers to be more proactive and accountable for their own improvement, while giving management the necessary visibility and data to effectively monitor and intervene if needed. With these new MV AI-powered updates, when an event is detected, the DriveCam Event Recorder will issue a real-time in-cab alert to help drivers recognize and address their own risky behaviors and self-correct in the moment. Depending on the behavior, the alert will include a light and/or spoken phrase. With Lytx's ability to detect more than 60 driving behaviors with greater than 95% accuracy, its in-cab alerts are some of the most precise in the industry. Drivers will also have access to new check-in tools allowing them to review their own video and performance after-the-fact, including behavior duration.

What is Reinforcement Learning and 9 examples of what you can do with it.


Reinforcement Learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for example. Reinforcement learning is a behavioral learning model where the algorithm provides data analysis feedback, directing the user to the best result. It differs from other forms of supervised learning because the sample data set does not train the machine.

Watch a self-driving Roborace car drive directly into a wall


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.

As Tesla full self-driving goes beta, Autopilot is rated a 'distant second' to GM's Super Cruise


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.

Envisioning Technology's Role in Future Elections - Connected World


The 2020 presidential election in the United States is just around the corner. This year, the election has been particularly controversial in part because of the ongoing COVID-19 pandemic and the restrictions the virus has placed on in-person gatherings. In a world in which connected devices and IoT (Internet of Things) technologies have enabled everything from autonomous vehicles to robotic surgery, it seems like there should be other options for casting votes besides sending paper ballots in by mail or turning them in by hand. However, concerns (both legitimate and overblown) about election-outcome accuracy and voter privacy have held the election process back in many ways from the digital revolution that has permeated almost everything else. Will 2020 be a pivotal year in changing how the American people and "the powers that be" feel about advancing the voting process?

Sony expects sensor business to not recover from Huawei sanctions until FY22


Sony on Wednesday announced it has cut the FY20 profit outlook for its sensor business by 38% to ¥81 billion due to the United States banning Sony from supplying chips to Huawei. In August, the United States issued sanctions that ban Huawei from procuring chips made by foreign manufacturers using US technology, like Sony. Due to this impact, CFO Hiroki Totoki anticipates the sensor business will not make a full recovery in profitability until the fiscal year ended March 2023. "We expect that it will take a long time for other customers to follow the trend to higher-functionality and larger die-sized smartphone cameras that the Chinese customer was leading. Thus, we expect the substantial recovery of profitability driven by these high value-added products to take place in the fiscal year ending March 31, 2023," Totoki said during the results presentation. Despite the hit to Sony's sensor business, the company has raised its annual profit outlook as it expects its gaming business to grow following the launch of the PlayStation 5 (PS5) next month.

Cadillac Super Cruise beats Tesla Autopilot in Consumer Reports test

FOX News

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.

Data Science: Supervised Machine Learning in Python


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.

'Watch Dogs: Legion' Tackles Surveillance Without Humanity


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.