Collaborating Authors

Plans for Future Maintenance of Gym · Issue #2259 · openai/gym


Fixes to code style (use the same style tests as either PettingZoo does or SB3 does and that to CI tests once they're properly functioning) (Thanks @cclauss!) Removal of old and entirely unused code Bug fixes (they'll actually be merged now!) Useful non-breaking extensions to or entirely new action/observation spaces Built in API compliance testing (Similar to what PettingZoo has for environments and what SB3 added for Gym environments) Nonbreaking and useful additions of environment arguments, similar to what most third party Gym environments now have or what PettingZoo environments generally have by default (e.g. Lycon is a Python library that's just took the C image resizing logic from OpenCV and put it in it's own repo. This makes it run slightly faster, and more importantly it gets rid of all the horrifying installation issues associated with OpenCV (and most RL libraries only depended on OpenCV for this functionality). However, Lycon is no longer maintained and does not generate wheels with the C already compiled (though Ben Black added the logic for this- ethereon/lycon#25). Dealing with all flavors of MuJuCo problems (I am objectively not qualified for this) Create a new, in depth, documentation website.

Talking Robot Boxes at Norwegian Hospital a Hit with Sick Kids - AI Trends


The "Automated Guided Vehicles" at St. Olav's Hospital in Trondheim, Norway, have personalities. These motorized units, essentially boxes on wheels, are assigned to transport garbage, medical equipment or food from one part of the hospital to another. But because they have to interact with humans, such as by warning them to get out of the way, they have to talk. And in so doing, the developers gave the stainless-steel boxes rolling around the hospital to transport goods, a personality. And they made the robots kind of pushy, a little rude.

How AI Is Helping Space Debris Removal Efforts


As the space race heats up, debris has become a burning issue. Since the beginning of the space age in the 1950s, thousands of satellites and rockets have been sent to space and are marooned there. The Union of Concerned Scientists Satellite database has listed more than 4,084 operational satellites currently orbiting the Earth. In 2010, this number was less than a thousand. In the distant future, this problem can extend to the lunar surface and the asteroid belt (the current count stands at 34,000 pieces of space junk bigger than 10 centimetres in size and millions of smaller pieces).

Achieving Return on AI Projects


Companies embarking on AI and data science initiatives in the current economy should strive for a level of economic return higher than those achieved by many companies in the early days of enterprise AI. Several surveys suggest a low level of returns thus far, in part because many AI systems were never deployed: A 2021 IBM survey, for instance, found that only 21% of 5,501 companies said they had "deployed AI across the business," while the remainder said they are exploring AI, developing proofs of concept, or using pre-built AI applications. Similarly, a VentureBeat analysis suggests that 87% of AI models are never put into production. And a 2019 MIT Sloan Management Review/Boston Consulting Group survey found that 7 out of 10 companies reported no value from their AI investments. This makes sense: If there is no production deployment, there is no economic value.

The AI Dilemma


Earlier this year, my co-author, Malay Upadhyay, and I released our new book, The AI Dilemma, a leadership guide to assess enterprise AI maturity and explore AI's impact in diverse industries. Over the past year, during COVID-19, I have been writing a series of blogs for CEOs and Board Directors and executive leadership teams to advance their knowledge in AI having develop a comprehensive AI set of skills that I called The Brain Trust. Over fifty skills were defined with examples of AI innovations. The response has been overwhelmingly positive. Why I have been writing these blogs is to drive an increased sense of urgency of board directors and leadership teams to internalize that human civilization as we know it is changing at a clip that is unprecedented in human history.

Deep Learning Approach to Detect Banana Plant Diseases


Hello folks:) This is my final year research project based on deep learning. Let me give an introduction about my project first. When we talk about banana it's a famous fruit that commonly available across the world, because it instantly boosts your energy. Bananas are one most consumed fruit in the world. According to modern calculations, Bananas are grown in around 107 countries since it makes a difference to lower blood pressure and to reduce the chance of cancer and asthma.

Review on Artificial Intelligence Healthcare Specialization


Artificial intelligence (AI) has revolutionized sectors all over the world, and it has the potential to completely disrupt the field of healthcare. Consider being able to analyze data on patient visits to the health center, medications prescribed, laboratory tests, and surgery done, as well as data from outside the health system like as social media, credit card transactions, census data, and web search activity logs containing valuable health information to have a sense of how AI could transform care for patients and diagnosis and treatment. You will examine the present and future uses of AI in healthcare in this specialization, with the objective of understanding how to integrate AI technology into the clinic safely and ethically. This specialty is intended for both healthcare practitioners and computer science experts, and it provides insights to help the disciplines collaborate more effectively. Coursera has a group of courses designed to help you master a specific skill.

Global Big Data Conference


Artificial intelligence is no longer the domain of Hollywood technothrillers, nor is it available only to the Fortune 500 or VC-backed startups. In fact, use of the technology has become increasingly common at companies of all sizes. IBM describes artificial intelligence (AI) as technology that "leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind." But today, even small- and mid-sized companies can leverage AI by tapping into customer, product and market data to power their analytics, reduce their time-to-market and help get a leg up on their competition. Data makes an application of AI like machine learning (ML) possible.

The perfect storm striking World of Warcraft

BBC News

Scott Johnson has been making WoW content online since 2004. He says he chaired a panel at Blizzard's annual fan festival in 2018 with one of the people named in the allegations - something he now sees in a new light. As someone who plays an active role in the community, he says he personally knows some of the women who were victims.

NotCo gets its horn following $235M round to expand plant-based food products – TechCrunch


NotCo, a food technology company making plant-based milk and meat replacements, wrapped up another funding round this year, a $235 million Series D round that gives it a $1.5 billion valuation. Tiger Global led the round and was joined by new investors, including DFJ Growth Fund, the social impact foundation, ZOMA Lab; athletes Lewis Hamilton and Roger Federer; and musician and DJ Questlove. Follow-on investors included Bezos Expeditions, Enlightened Hospitality Investments, Future Positive, L Catterton, Kaszek Ventures, SOSV and Endeavour Catalyst. This funding round follows an undisclosed investment in June from Shake Shack founder Danny Meyer through his firm EHI. In total, NotCo, with roots in both Chile and New York, has raised more than $350 million, founder and CEO Matias Muchnick told TechCrunch.