2080 Ti TensorFlow GPU Benchmarks

The 2080 Ti comes out on top as the best GPU in 2018 for training neural nets.The 2080 Ti GPUs pictured in a Lambda Quad 2080 Ti deep learning workstation.At Lambda, we’re often asked “what’s the best GPU for deep learning?” In this post and accompanying white paper, we explore this question by evaluating the top 5 GPUs used by AI researchers:To determine the best machine learning GPU, we factor in both cost and performance.Results summaryAs of October 8, 2018, the NVIDIA RTX 2080 Ti is the best GPU for deep learning research on a single GPU system running TensorFlow. A typical single GPU system with this GPU will be:37% faster than the 1080 Ti with FP32, 62% faster with FP16, and 25% more expensive.35% faster than the 2080 with FP32, 47% faster with FP16, and 25% more expensive.96% as fast as the Titan V with FP32, 3% faster with

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Apache OpenOffice, the Schrodinger’s Application: No One Knows If It’s Dead or Alive, No One Really Wants To Look Inside

British IT news outlet The Register looks at the myriad of challenges Apache OpenOffice faces today. From the report: Last year Brett Porter, then chairman of the Apache Software Foundation, contemplated whether a proposed official blog post on the state of Apache OpenOffice (AOO) might discourage people from downloading the software due to lack of activity in the project. No such post from the software’s developers surfaced. The languid pace of development at AOO, though, has been an issue since 2011 after Oracle (then patron of the project) got into a fork-fight with The Document Foundation, which created LibreOffice from the OpenOffice codebase, and asked developers backing the split to resign. Back in 2015, Red Hat developer Christian Schaller called OpenOffice “all but dead.” Assertions to that effect have continued since, alongside claims to the contrary. Almost a year ago, Jim Jagielski, a member of the Apache OpenOffice Project Management

Original URL: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/SU6jT9pU_LM/apache-openoffice-the-schrodingers-application-no-one-knows-if-its-dead-or-alive-no-one-really-wants-to-look-inside

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Rclone – rsync for cloud storage

Rclone is a command line program to sync files and directories to and from:

Amazon Drive
(See note)
Amazon S3

Backblaze B2



DigitalOcean Spaces




Google Cloud Storage

Google Drive





Memset Memstore


Microsoft Azure Blob Storage

Microsoft OneDrive





Openstack Swift

Oracle Cloud Storage





Rackspace Cloud Files




Yandex Disk

The local filesystem


MD5/SHA1 hashes checked at all times for file integrity
Timestamps preserved on files
Partial syncs supported on a whole file basis
Copy mode to just copy new/changed files
Sync (one way) mode to make a directory identical
Check mode to check for file hash equality
Can sync to and from network, eg two different cloud accounts
Optional encryption (Crypt)
Optional cache (Cache)
Optional FUSE mount (rclone mount)

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University of Delaware will vet employers harder on Handshake after student fools system

It took Jennifer West less than two hours to create a fake company on Handshake, the fast-growing career-services platform, and then advertise a bogus social media internship at the University of Delaware, which she attends.

West, a senior at Delaware, wanted to test the system after earlier this fall she said she was duped into a sham internship that was posted on Handshake, which has spread to at least 700 campuses.

The incident illustrates that despite the convenience of Handshake, institutions, particularly large ones such as Delaware, have trouble tracking what opportunities are real. West’s experiment has prompted the institution to make stricter the vetting process for employers.

West was browsing Handshake over the summer when she stumbled on iConcept Media, which purported to be offering an unpaid internship in fashion journalism where she would work remotely.

She searched the company online and found a few lukewarm reviews on Glassdoor but decided to apply

Original URL: https://www.insidehighered.com/news/2018/10/11/university-delaware-will-vet-employers-harder-handshake-after-student-fools-system

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You Can Now Run Ubuntu 18.04 on Raspberry Pi 3 with BunsenLabs’ Helium Desktop

The super fast and lightweight Helium Desktop from the Debian-based BunsenLabs Linux distribution is a continuation of the acclaimed CrunchBang Linux.

Original URL: http://feedproxy.google.com/~r/linuxtoday/linux/~3/K3gqe6nLNzk/you-can-now-run-ubuntu-18.04-on-raspberry-pi-3-with-bunsenlabs-helium-desktop-181010094016.html

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Reinforcement Learning for Improving Agent Design

In many reinforcement learning tasks, the goal is to learn a policy to manipulate an agent, whose design is fixed, to maximize some notion of cumulative reward. The design of the agent’s physical structure is rarely optimized for the task at hand. In this work, we explore the possibility of learning a version of the agent’s design that is better suited for its task, jointly with the policy. We propose a minor modification to the Gym framework, where we parameterize parts of an environment, and allow an agent to jointly learn to modify these environment parameters along with its policy. We demonstrate that an agent can learn a better structure of its body that is not only better suited for the task, but also facilitates policy learning. Joint learning of policy and structure may even uncover design principles that are useful for assisted-design applications.
Embodied cognition is the theory that an

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