OpenAI states that it is releasing new batch of seven unsolved problems, which came up during the course of their research. These questions will pave a meaningful way for new people to enter the field, as well as for practitioners to hone their skills. It is also a great way for people to get a job at OpenAI.
Let us now have a look at the seven unsolved problems:
Excited? Have a detailed read on OpenAI blog.
DeepMind open-sourced Psychlab, a platform built on top of DeepMind Lab, for others to use.
Psychlab allows direct application of methods from fields like cognitive psychology to study behaviours of artificial agents in a controlled environment.
Alongwith open-sourcing Psychlab, the DeepMind team have also built a series of classic experimental tasks to run on the virtual computer monitor, which has a flexible and easy-to-learn API, enabling others to build their own tasks.
Read more about Psychlab and the added tasks on DeepMind’s blog.
IBM announces availability of NVIDIA Tesla V100 GPU on its Cloud, which aims to accelerate enterprise efforts in mission-critical artificial intelligence (AI), deep learning, and HPC workloads.
The V100 GPU is NVIDIA’s fastest and most advanced GPU accelerator on the market, says John Considine, general manager of cloud infrastructure services for IBM Watson and Cloud Platform. Users can now integrate individual IBM Cloud bare metal servers with up to two NVIDIA Tesla V100 PCle GPU accelerators. This combination of IBM’s high-speed network connectivity and bare metal servers with the V100 GPUs will provide a major boost to compute-intensive workloads.
In a blog post, John Considine, general manager of cloud infrastructure services for IBM Watson and Cloud Platform said,”With the Tesla P100 GPU accelerator, you can leverage up to 65 percent more deep learning capabilities and 50 times the performance than its predecessor”.
For details, visit IBM’s blog.
DeepMind has come up with a new paper in the Journal of Artificial Intelligence Research(JAIR). The new paper showcases how Deep Neural Networks can be extended for generalizing visually and symbolically.
This paper proposes a Differentiable Inductive Logic framework, which can solve tasks which traditional Inductive Logic Programming (ILP) systems are suited for. It can also show robustness to noise and error in the training data which ILP cannot cope with. Further, as it is trained by backpropagation, it can be hybridised by connecting it with neural networks over ambiguous data. Thus, this provides data efficiency and generalisation beyond what neural networks on their own can achieve.
Read the detailed information on DeepMind’s blog. You can also read the research paper here.
5. InterSystems IRIS data platform is now generally available
InterSystems announced the general availability of InterSystems IRIS Data Platform, the first data platform to deliver multi-workload and multi-model data management, native interoperability, and an open analytics platform in a single product.
The IRIS is a complete unified data platform that makes it faster and easier to build real-time data-rich applications. It allows organizations to combine event and transactional data with large sets of historical and other data for capturing untapped business opportunities and also to improve operational efficiencies.
InterSystems IRIS Data Platform aims:
Have a detailed read at the official press release.
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