1. Airbnb Data Science Interview Questions – Acing AI –
Airbnb had over 140 Million nights booked in 2018. The amount of data that generates is just the tip of the iceberg. In the basic data challenge, the team sends you some datasets and basic questions that you need to answer. Read More
2. Expanding the Application of Deep Learning to Electronic Health Records
The initial collaboration will focus on understanding how Google might adapt machine learning predictions to the various Intermountain care settings, from primary care clinics to the TeleHealth critical care unit
, which remotely monitors critically ill patients in surrounding hospitals. We see potential in exploring how scalable computing platforms that include predictions might assist clinical teams in providing the best possible care.
As with our previous research, we will begin with jointly testing the performance of machine learning models on historical records, following strict policies to ensure that all data privacy and security measures are followed. Read More
3. Converging AI and Real-Time Analytics to Transform Travel – IBM Research Blog
IBM Research innovation is at the heart of the recently announced IBM Travel Manager, an industry-first artificial intelligence (AI) platform to fundamentally change how companies manage and optimize their travel programs. 4 trillion this year, as projected by the Global Business Travel Association, yet optimizing business travel expense has, until now, been overly complicated.
For IBM Travel Manager, we developed innovative technologies in three key areas:
Integrating complex, inconsistent, and sparse data. Read More
4. This is what the cities of the future could look like
Could hyperloops be the future of inner-city travel.
The anatomy of a smart city
There is no doubt that the city will be the defining feature of human geography for the 21st century. 3 million people moving to cities each week – and by 2040, a staggering 65% of the world’s population will live in cities. Read More
5. 130: Pushing neural architecture search further with transfer learning; Facebook funds European center on AI ethics; and analysis shows BERT is more powerful than people might think
Facebook reveals its “self-feeding chatbot”:…Towards AI systems that continuously update themselves…AI systems are a bit like dumb, toy robots: you spend months or years laboring away in a research lab and eventually a factory (in the case of AI, a data center) to design an exquisite little doohickey that does something very well, then you start selling it in the market, observe what users do with it, and use those insights to help you design a new, better robot. Wouldn’t it be better if the toy robot was able to understand how users were interacting with it, and adjust its behavior to make the users more satisfied with it. Results: Facebook shows that it can further improve the performance of its chatbots by using data generated by its chatbot during interactions with humans. Read More
6. Tiny robots reduce roadwork disruption
n/a Read More
7. Is AI the Next Frontier for National Competitive Advantage?
Artificial intelligence (AI) presents limitless opportunity, but not without potential pitfalls and risks. They want to give domestic companies an edge over the competition, but are also expected to protect their citizens and use AI for social good.
Although data security is always a major concern, AI algorithms add a new level of complexity. Read More
8. Fireflies: This Call Is Being Monitored — by AI — for Quality Assurance | NVIDIA Blog
Krish Ramineni and Sam Udotong are quintessential Silicon Valley: They breath code, bond over hackathons and one thrives on Soylent.
The 20-somethings are the duo behind call-automation startup Fireflies, an AI-powered platform for sales and customer support teams.
Fireflies’ AI addresses big pain points for enterprise call customers: automated call notes and recordings, automated customer relationship management (CRM) software entry, alerts to customer dissatisfaction in calls, sales coaching follow-up opportunities and more. Read More
9. Diamond Pro’s AI spots imperfection in gems
Would you ever consider purchasing diamond jewelry online. That’s why Swiss diamond advisory firm Diamond Pro developed Ringo, which it is calling the world’s first artificially intelligent (AI) tool to help prospective diamond buyers determine the best options, based on specifications such as certification, shape, setting style, and precious metal type. ”
Ringo — which playfully evokesMicrosoft’s Clippy — tasks buyers with narrowing down parameters in several categories, which the tool’s search algorithms use to recommend diamonds within a certain price range, in certain colors, and with a baseline level of clarity and symmetry. Read More
10. Increasing skepticism against robots
Robots performing in surgeries, robots in automobile production, and robots in caregiving.
More and more robots in everyday life. But how do people feel about robots. Read More