The field of Deep Reinforcement Learning (DRL) has recently seen a surge in research in batch reinforcement learning, which aims for sample-efficient learning from a given data set without additional interactions with the environment. In the batch DRL setting, commonly employed off-policy DRL algorithms can perform poorly and sometimes even fail to learn altogether. In this paper, we propose a new algorithm, Best-Action Imitation Learning (BAIL), which unlike many off-policy DRL algorithms does not involve maximizing Q functions over the action space. Striving for simplicity as well as performance, BAIL first selects from the batch the actions it believes to be high-performing actions for their corresponding states; it then uses those state-action pairs to train a policy network using imitation learning. Although BAIL is simple, we demonstrate that BAIL achieves state of the art performance on the Mujoco benchmark.

The 30-person company uses machine learning and other technology to map a company's sensitive data, apply regulatory obligations, and automate …

It's called deep learning or machine learning. I am interested in harnessing the power of deep learning to improve our models.

Artificial intelligence can be a powerful tool to help the United States military outthink its opponents, but some military officials are warning the U.S. is already falling behind the curve on implementing A.I. technology. Retired Rear Adm. Brian Losey, the former head of U.S. Naval Special Warfare Command, raised both the prospect of effectively using A.I. technology on the battlefield as well as concerns the U.S. has already fallen behind during a Tuesday panel discussion of the "The Promise and The Risk Of the A.I. Revolution" conference hosted by the U.S. Naval Institute, USNI News reported. "We're losing a lot of folks because of encounters with the unknown," Losey said. "Not knowing when we enter a house whether hostiles will be there and not really being able to adequately discern whether there's threats before we encounter them. And that's how we incurred most of our casualties."

Artificial intelligence has been much discussed of late, but will it really help us solve important problems like how to bring personalized medicine to as many patients as possible? Kate Hilyard, COO of Healx in Cambridge in the UK, believes it can.

Micron Technology introduced what it claims is the world's fastest solid state drive (SSD), and also announced the acquisition of FWDNXT (pronounced "forward next"), a startup that specializes in neural networking with a product lineup that includes a series of inference engine modules based on Xilinx FPGAs. The announcements were made at the Micron Insight conference held at Pier 27 in San Francisco. The conference focused on how to accelerate intelligent systems by improving data access and analysis speed in edge devices. Micron CEO Sanjay Mehrotra said in his opening remarks at the conference that the company shipped 6 million wafers (including DRAM/3D XPoint/NAND) in fiscal year 2019, which translates into roughly 3 billion solutions for game systems, mobile phones, Internet of things applications, smart factories, and more. Sumit Sadana, executive vice president and chief commercial officer of Micron, then unveiled several heavyweight products at the conference.

Artificial intelligence is a huge buzzword these days, especially in the automotive industry. AI has many applications and can mean different things, even within the automotive world. But the general concept can be imagined as a future where human beings have been completely removed from the entire driving equation. This could lead to a vehicular utopia with no more highway accidents, injuries, or deaths-- all the result of driverless cars. However, we are a long way from reaching this point.

As of late, the UAE has turned out to be synonymous with progression and cutting-edge advancement. So, it does not shock to see the nation driving the path with artificial intelligence (AI), which is set to play an important job in the nation's Centennial 2071 undertaking. The Emirati country is positioned as the first in the Arab world with regards to receiving AI in all parts of life. In the previous couple of years, its authorities have been centered around acquainting AI advances with the nation. The UAE's Cabinet has adopted another'National Artificial Intelligence Strategy 2031' planned for situating the UAE as a worldwide pioneer in AI.

Editor's note: Brian is a speaker for ODSC West in California this November! Be sure to check out his talk, "Advanced Methods for Explaining XGBoost Models" there! As modern machine learning methods become more ubiquitous, increasing attention is being paid to understanding how these models work -- model interpretation instead of just model use. Typically, these questions come in two sorts of flavors. In question 1, we are trying to get a general understanding of the mechanisms behind the model.

Artificial intelligence (AI) is influencing almost every facet of our lives. It is transforming the way we live, work and communicate. Whether it is professional front or personal, AI is becoming a part of everything now. It is revolutionizing the manufacturing and business processes for organizations and improving our homes and cities. AI applications and analytics use data science and algorithms for automation and optimization of processes.