Google has revealed plans to build three underwater fiber-optic cables for ocean areas from the Pacific to the North Sea, in order to speed the transfer of data and catch up with Amazon and Microsoft. The new undersea cables are slated for completion by 2019 and will also allow Google to reroute data to servers around the globe to avoid an overloaded or failed region. Although the cables will cost a significant amount — “hundreds of millions of dollars” — Google believes the move is its only option to compete in cloud computing. Continue reading Google Plans Undersea Cables to Ramp Up its Cloud Business

Intel confirmed a report indicating that its microprocessor chips contain two major security flaws, which makes the vast majority of world computers vulnerable to hacking. Intel is working with Advanced Micro Devices (AMD), ARM Holdings and other chipmakers and operating system providers to develop a comprehensive, industry-wide approach to combating the potential problems. The two major security flaws, dubbed Meltdown and Spectre, could let hackers access the entire memory contents of computers. Continue reading Flaws in Intel Chips Could Present Security Risk for Computers

On November 29 at the AWS re:Invent conference, Amazon Web Services introduced its AWS DeepLens, a video camera whose main purpose is to teach developers how to program AI functions. The camera comes loaded with different AI infrastructures and AWS infrastructure such as AWS Greengrass Core and a version of MXNet. Developers can also add their own frameworks like TensorFlow. The 4-megapixel camera can shoot 1080p HD video and offers a 2D microphone system for recording sound, in the form factor of an action camera on top of an external hard drive. Continue reading Amazon Debuts Intel-Powered DeepLens Camera to Teach AI

To compete in the profitable cloud-computing arena, Amazon Web Services debuted 20 new machine-learning tools this week at the AWS re:Invent conference in Las Vegas. Tools include speech recognition and algorithms to automate decisions. The move helps Amazon compete better with Google and Microsoft, both of which are using their expertise in AI and machine learning to cut into its market share. Machine learning will also help potential developers that can’t create these capabilities on their own. Analysts estimate that Amazon dominates the cloud with a 44 percent market share. Continue reading AWS Expands Cloud Efforts with New Machine-Learning Tools

Amazon currently is the dominant cloud computing service; according to Amazon Web Services chief executive officer Andy Jassy, the company has several times as much business as the industry’s next busiest 14 providers combined. In the No. 2 and No. 3 spots are, respectively, Microsoft and Google, and both of them attempt to leverage their strengths and exploit perceived weaknesses of AWS to boost their own market share. Both companies see some strengths in AWS — its self-service model, for example — as vulnerabilities. Continue reading Google, Microsoft Develop New Ways to Compete with AWS

Google Senior Fellow Jeff Dean, who works on the Google Brain team, recently highlighted AutoML (for machine learning), a project aimed at using AI-empowered machines to build other AI machines, removing humans from the equation. The need for AI algorithms grows as its capabilities are becoming important to a wide range of industries. But only an estimated 10,000 people worldwide have the education, expertise and ability to construct those algorithms, and Facebook, Google and Microsoft pay millions of dollars for them. Continue reading Google Project Aims to Use AI to Develop More AI Algorithms

Fog computing is the latest idea on how to get the most out of new technologies and provide solutions for smart cars, cities and homes. It relies on cloud computing infrastructure, but brings the actual processes closer to earth (hence, fog) by using hardware near the edge of the network. Fog computing brings together many cutting edge technologies including virtualization, blockchain, DevOps, 5G, TSN (time-sensitive networking), distributed computing and IT-OT (operations technology) collaboration. Continue reading Fog Computing Unifies Technologies for Smart Cars, Homes

Google exited China in 2010, but is now making another pitch to re-enter by promoting its TensorFlow software for building artificial intelligence solutions. Sources say that parent company Alphabet has added staff to look for potential AI investments among Chinese companies. The online Chinese market is the biggest in the world, but Google faces challenges there, not just with homegrown rivals such as Baidu, but the fact that China’s firewall keeps domestic developers from accessing Google’s cloud computing services. Continue reading Google Hopeful for Chinese Re-Entry With TensorFlow for AI

Cloud computing startup DigitalOcean, based in New York City, is taking on industry leaders Amazon Web Services, Microsoft Azure and Google Cloud by targeting smaller developers and startups. According to CEO and co-founder Ben Uretsky, DigitalOcean is offering simple and flexible solutions for smaller companies that may not necessarily need the same business-class services as larger companies. While it is not currently planning an IPO, DigitalOcean indicates it is on a $175 million annualized run rate (ARR) for this year. Continue reading DigitalOcean Provides Cloud Services for Smaller Businesses

Samsung Electronics’ semiconductor unit posted Q2 sales of $15.7 billion and operating profit of $7.1 billion, surpassing Intel’s Q2 earnings of $14.8 billion and operating profit of $3.8 billion. This marks the first time in nearly 25 years that Intel has lost its No. 1 position in the chip-making market. Up until this quarter, Santa Clara, CA-based Intel has enjoyed a comfortable lead over Samsung’s chip unit, which got its start with a focus on mobile devices. The semiconductor industry is currently valued at $365 billion. Continue reading Intel Is Topped by Samsung After 25-Year Lead in Chip Sales

Google is getting closer to offering quantum computing over the cloud. It’s uncertain if a quantum computer, which is based on “qubits” rather than 1s and 0s, can out-perform a supercomputer, but Google and other companies are betting it will be able to perform certain important tasks millions of times faster. Google and its rivals would be more likely to rent quantum computing over the Internet, since the computers are too bulky and require too much special care to live in most companies’ data centers. Continue reading Google Push Could Spark Quantum Computing in the Cloud

Intel is shipping its first products based on 3D XPoint, a technology it has been developing for more than ten years to bridge the gap between conventional memory, which holds data for immediate use, and longer-term storage. The company reports that 3D XPoint is 1,000 times faster than NAND flash often used in storage drives, but only 1 percent the speed of DRAM (dynamic random-access memory) temporary memory. Intel says it can speed up tasks in fraud detection, retail recommendations and autonomous vehicles. Continue reading Intel Debuts Memory Products Based on 3D XPoint Technology

Chief execs Marc Benioff of Salesforce.com and Ginni Rometty of IBM announced a new partnership yesterday that will combine the two companies’ artificial intelligence technologies to create new data analytics offerings for helping others target products and services. Available in the second half of 2017, the offerings will introduce “integrated AI services that weave the broad human-like conversation and learning capabilities of IBM’s Watson with Salesforce’s more sales-oriented Einstein,” reports The Wall Street Journal. In an “effort to reinvent itself for the cloud-computing era,” IBM has been tailoring Watson “for a variety of industries including health care, financial services and automobiles.” Continue reading IBM and Salesforce to Link AI Technologies for Data Analytics

Walden Pond CEO and former Warner Bros. exec Wendy Aylsworth led an HPA Tech Retreat panel on how companies are finding benefits working in the cloud due to increased bandwidth and Wi-Fi reliability. Cloud productions aren’t just about collaboration, but also are creating new levels of automation from pre-production through post. Despite the new benefits — and adoption by a host of users — early proponents still have pain points, said Ayslworth, who brought together the panelists to discuss the pros and cons of their experiences. Continue reading HPA Tech Retreat: Pitfalls and Epiphanies in Cloud Production

Microsoft debuted Microsoft Azure IP Advantage, which provides payment for legal costs to customers using the open-source technology that is part of Azure services, including Hadoop data analysis. The rationale behind this new Advantage program is that, by offering Azure customers protection from intellectual property litigation, Microsoft removes an obstacle to the cloud computing service’s growth. This litigation protection service is already in place for Azure customers developing apps with Microsoft technology. Continue reading Microsoft Offers Lawsuit Protection for Azure Cloud Customers