Above chart is a weekly. The daily chart is still showing a downtrend but testing the upper channel. Have the start of a symmetrical triangle but still likely a couple weeks out to form. Ultimate resolution of pattern could go either direction but it's a chart technicians and algos are programmed to watch.
A lot of news out today about Intel investment and progress with Artificial Intelligence from Disrupt ==================== Google's self-driving cars have been using Intel chips this whole time Alphabet has been using Intel chips in its self-driving cars since 2009.
The partnership with Waymo is significant because it has tested its autonomous driving system more than other companies on California public roads. Jordan Novet | @jordannovet CNBC.com
Intel on Monday said that its processors are inside of Alphabet's Waymo self-driving cars. The deal dates to 2009, since the inception of Google's car program.
Intel stock rose slightly after announcing the news in a blog post.
The deal is fascinating on a few fronts. For one, it shows Intel has a household name as a customer in the growing autonomous vehicle market, which will reach $126.8 billion in revenue by 2027, according to the firm Research and Markets.
But Alphabet isn't just another company developing autonomous driving systems. Waymo's vehicles traveled more than 635,000 miles autonomously on California public roads in the year that ended on Nov. 30, far ahead of BMW, Ford, GM, Mercedes, Nissan and Tesla, among others. Also the technology has come to require fewer human interventions. In other words, working with Waymo means powering a solid piece of technology.
Additionally, the fact that Alphabet has worked so long with Intel on cars suggests it might be less likely to replace Intel with its own self-made chips. Alphabet has developed two generations of chips for artificial intelligence for use in its own data centers, and it has also come up with a security-oriented "trusted platform module" processor for use in its servers.
Notably it's not Nvidia that's talking about having worked with Waymo all along. Nvidia's graphics processing units are widely used for AI, and carmakers such as Toyota and Volvo have used Nvidia GPUs in their autonomous cars.
"You're going to see us building custom silicon and custom technology for Waymo," Krzanich told CNBC's Jon Fortt on "Closing Bell" on Monday. =============================== Waymo and Intel Collaborate on Self-Driving Car Technology Autonomous Driving will End Human Driving Errors and Lead to Safer Roads for Everyone Brian KrzanichBy Brian Krzanich
One of the big promises of artificial intelligence (AI) is our driverless future. Nearly 1.3 million people die in road crashes worldwide every year – an average 3,287 deaths a day1. Nearly 90 percent of those collisions are caused by human error2.
Self-driving technology can help prevent these errors by giving autonomous vehicles the capacity to learn from the collective experience of millions of cars – avoiding the mistakes of others and creating a safer driving environment.
Given the pace at which autonomous driving is coming to life, I fully expect my children’s children will never have to drive a car. That’s an astounding thought: Something almost 90 percent of Americans do every day will end within a generation3. With so much life-saving potential, it’s a rapid transformation that Intel is excited to be at the forefront of along with other industry leaders like Waymo*.
Waymo’s newest vehicles, the self-driving Chrysler Pacifica hybrid minivans, feature Intel-based technologies for sensor processing, general compute and connectivity, enabling real-time decisions for full autonomy in city conditions.
As Waymo’s self-driving technology becomes smarter and more capable, its high-performance hardware and software will require even more powerful and efficient compute. By working closely with Waymo, Intel can offer Waymo’s fleet of vehicles the advanced processing power required for level 4 and 5 autonomy.
With 3 million miles of real-world driving, Waymo cars with Intel technology inside have already processed more self-driving car miles than any other autonomous fleet on U.S. roads. Intel’s collaboration with Waymo ensures Intel will continue its leading role in helping realize the promise of autonomous driving and a safer, collision-free future. ==============================
In just a few days (see above chart) Intel has clearly broken out. This stock is relatively cheap to it's semi sector, has made outsized investments internally and thru M&A in emerging tech and has a 3% yield to boot. Long and adding
Last Edit: Sept 18, 2017 16:28:05 GMT -6 by martyc
Gotta applaud this intiative to use VC funding to accelerate initiatives. Good example of how repatriation will help accelerate growth. Better approach than increasing div/buybacks IMO ======================================== Intel Capital Fuels Innovation with $60 million of New Investments in 15 Data-Focused Startups Intel Capital Exceeds Half a Billion Dollars Invested in 2017
More than $60 million of new investments in 15 startups across a range of innovative technologies, including artificial intelligence, cybersecurity and autonomous machines. New companies joining Intel Capital’s portfolio include startups from the United States, Canada, China, Israel and Japan.
New investments bring Intel Capital’s year-to-date activity to more than $566 million. New milestone in diversity investing: More than 10 percent of Intel Capital’s portfolio companies now are led by women or underrepresented minorities.
SAN FRANCISCO, Oct. 19, 2017 – Intel Capital, Intel Corporation’s global investment organization, today announced new investments totaling more than $60 million in 15 technology startups. The company introduced the CEOs and founders of the startups at the Intel Capital CEO Showcase, which is being webcast in the Intel Newsroom. This latest group of new portfolio companies brings Intel Capital’s year-to-date investing to more than $566 million.
“The world is undergoing a data explosion,” said Wendell Brooks, Intel senior vice president and president of Intel Capital. “By 2020, every autonomous vehicle on the road will create 4 TB of data per day. A million self-driving cars will create the same amount of data every day as 3 billion people.
“As Intel transitions to a data company, Intel Capital is actively investing in startups across the technology spectrum that can help expand the data ecosystem and pathfind important new technologies,” Brooks said.
The companies joining Intel Capital’s portfolio are trailblazing technologies that leverage multiple facets of the data lifecycle – including analyzing, capturing, managing and securing data. These newly funded companies focus on artificial intelligence, 3D medical visualization, robots for retail, and cybersecurity inspired by the human immune system, among other technologies.
Brooks also announced that, two years after the launch of the Intel Capital Diversity Initiative, more than 10 percent of Intel Capital’s portfolio companies now are led by women or other groups underrepresented in the technology industry – including three of the companies introduced today.
More details on Intel Capital’s new investments in 15 pioneering data startups:
Amenity Analytics* (New York, U.S.) has built a text analytics platform that allows customers to identify actionable signals from unstructured data. Its open data source architecture and cloud-based computing provides unmatched speed, scope and scale. The Amenity Analytics process combines machine learning, sentiment analysis and predictive analytics to produce some of the highest levels of accuracy in the industry.
Bigstream* (Mountain View, California, U.S.) provides hyper-acceleration technology that delivers orders of magnitude performance gains for Apache Spark using hardware and software accelerators. Hyper-acceleration of big data and machine learning workloads is achieved using advanced compiler technology and transparent support for FPGAs. Unlike other approaches, Bigstream requires no application code changes or special APIs.
LeapMind* (Tokyo, Japan) makes learning with deep neural networks “small and compact” for easy use in any environment. With the aim to achieve the “Deep Learning of Things” (DoT), LeapMind is improving the accuracy of neural network models and is researching and developing innovative algorithms to reduce the computational complexity of deep learning and original chip architectures for use in small computing environments.
Synthego* (Redwood City, California, U.S.) is a leading provider of genome engineering solutions. The company’s product portfolio includes software and synthetic RNA kits designed for CRISPR genome editing and research. With next-generation informatics and machine learning, Synthego’s vision is to bring precision and automation to genome engineering, enabling rapid and cost-effective research with consistent results for every scientist.
AdHawk Microsystems* (Kitchener, Ontario, Canada) is revolutionizing human-computer interaction through ultra-precise tracking solutions that are smaller, faster and more power-efficient. AdHawk’s camera-free eye tracking system enables truly mobile data capture and paves the way for a new generation of highly immersive AR/VR experiences.
Trace* (Los Angeles, U.S.) is a sports artificial intelligence company working in the domains of soccer, mountain sports and water sports. Trace users have skied more than 30 billion feet of vertical and surfed more than 10 million waves. Its products combine sensors, video and AI to make performance insights and video highlights available immediately. Recently expanding into team sports, Trace technology is used to provide automatic video highlights and player performance data to coaches, players and parents right after the game. Bossa Nova Robotics* (San Francisco, U.S.) creates autonomous service robots for the global retail industry. The Bossa Nova technology and services empower retailers to make informed inventory decisions and take rapid action by automating the collection and analysis of on-shelf inventory data in large-scale stores. Retailers can therefore improve their productivity and create a better shopping experience.
EchoPixel* (Mountain View, California, U.S.) develops 3D medical visualization software. Its True 3D system allows medical professionals to interact with organs and tissues in a 3D space emanating from a display, which enables doctors to identify, evaluate and virtually dissect structures. True 3D is being used at UC San Francisco, Stanford, Cleveland Clinic, Lahey Clinic and Hershey Medical Center, among others. EchoPixel technology amplifies human expertise and improves both clinical efficacy and workflow.
Horizon Robotics* (Beijing, China) provides integrated and open embedded artificial intelligence solutions of high performance, low power and low cost. The company envisions that the world’s more than 1,000 categories of devices, such as autonomous vehicles and smart cameras, will be equipped with “brains,” becoming intelligent entities that have the ability for perception, understanding and decision-making for safety, convenience and fun.
Reniac* (Mountain View, California, U.S.) solves IO bottlenecks resulting in latency reduction and increased throughput for critical workloads in public cloud, hybrid and on-premise data centers without software changes to existing applications. The company’s Distributed Data Engine is architected to benefit databases, file systems, networking and storage solutions while freeing more CPU resources to creating business value.
TileDB Inc.* (Cambridge, Massachusetts, U.S.) develops and maintains the TileDB project created at the Intel Science and Technology Center for Big Data, which was a collaboration between Intel Labs and MIT. TileDB is a novel system for managing massive, multidimensional array data that frequently arise from scientific applications.
Alcide* (Tel Aviv, Israel) delivers a network security platform for any combination of container, VM and bare metal data centers operated by multiple orchestration systems. Alcide secures data centers against cyberattacks, including malicious internal activity and data exfiltration. Alcide, currently in stealth mode, empowers DevOps, security and engineering teams with simplified and autonomous control to manage and secure the evolving data center and hybrid cloud, at any scale.
Eclypsium* (Portland, Oregon, U.S.) provides technology that helps organizations defend their systems against firmware, hardware and supply chain attacks. The company offers organizations improved visibility for monitoring systems in their infrastructure for firmware threats and supply chain compromise, detection of firmware vulnerabilities, and improved firmware update management in endpoint systems and servers.
Intezer* (Tel Aviv, Israel) develops cybersecurity solutions that apply biological immune system concepts to the cyberspace, creating the world’s first “Code Genome Database,” by mapping billions of small fragments of malicious and trusted software. Through its DNA approach to code, Intezer provides enterprises with unparalleled threat detection and accelerated incident response.
Synack* (Redwood City, California, U.S.) provides customers a scalable, continuous, hacker-powered testing platform that uncovers security vulnerabilities that often remain undetected by traditional penetration testers and scanners. Its On-Demand Crowdsourced Security platform – which includes a network of trusted, ethical hackers worldwide – offers practical insights, analytics and actionable data that enables organizations to identify and fix security holes before criminal hackers exploit them.
For more information on today’s announcement or to view the webcast, including panel discussions with the 15 CEOs, visit our press kit on the Intel newsroom.
About Intel Capital
Intel Capital invests in innovative startups targeting 5G connectivity, the data center, artificial intelligence, merged reality, autonomous driving and a wide range of other disruptive technologies. Since 1991, Intel Capital has invested US$12.2 billion in 1,500 companies worldwide, and more than 640 portfolio companies have gone public or been acquired. Intel Capital curates thousands of business development introductions each year between its portfolio companies and the Global 2000. For more information on what makes Intel Capital one of the world’s most powerful venture capital firms, visit www.intelcapital.com or follow @intelcapital.
martyc: Looks like you are buying Msft again!
Dec 15, 2017 11:23:29 GMT -6
martyc: The news that Trump called Rupert to congratulate him sure seems to indicate that this is heading to approval
Dec 15, 2017 11:22:23 GMT -6
Under: DIS finally getting some traction.?
Dec 14, 2017 17:08:45 GMT -6
martyc: I took an entry level position in DIS. Will add eventually to overweight when it becomes clearer that the deal will go thru. Can't believe how well positioned they will be. 60% Hulu. 20% of content watched on NFLX they can pull. More in thread
Dec 14, 2017 11:05:16 GMT -6
Under: Great posts on $DIS
Dec 13, 2017 17:50:49 GMT -6
Under: $ROKU Citron on a war path.
Nov 28, 2017 15:11:20 GMT -6
Under: $HAS takeover bid for $MAT?
Nov 10, 2017 16:16:07 GMT -6
martyc: Not looking like the market will provide any discounted opp for SGMO. Call was just too professional and all signs indicate they are on a great path for commercialization. Happy with core but wish I had some trading shs
Nov 10, 2017 9:04:05 GMT -6
martyc: For anyone looking to find an entry point into SGMO, I'm almost hoping is sells off in next few days so I can add more. They are really clicking but the fact they haven't signed new deals might cause some to exit. Watching as I have room for trading shs
Nov 9, 2017 18:28:09 GMT -6
martyc: Been an interesting ride so far. I figured the Bears would be about this good but hoped the O wouldn't look so lame. Another building yr but still possible to get to 8-8 IMO
Nov 9, 2017 18:26:08 GMT -6
Under: whats up with your Bears this year Marty?
Nov 9, 2017 17:35:25 GMT -6
martyc: Hope you were long ROKU. I wanted to see Q first so missed out
Nov 9, 2017 7:08:53 GMT -6