member
Learning Curve: The new players in Congress
Fox News senior congressional correspondent Chad Pergram joins'Fox News Live' to explain how he prepares to report on Congress for the upcoming year. Every two years, the period between the November election and when the new Congress begins is often the busiest swath of time for covering Congress. Reporters are trying to figure out who won their elections and who lost. The existing Congress is back, attempting to prevent a government shutdown and often plowing through a landscape of other major legislation. There are often leadership elections.
- North America > United States > District of Columbia > Washington (0.16)
- North America > United States > Alaska (0.07)
- Oceania > Northern Mariana Islands (0.05)
- (5 more...)
AI Act: high-risk AI systems need more nuance
The EBU supports the objectives of the AI Act. The risk-based approach taken by the European Commission and the graduated levels of obligations seem well suited to regulate such a complex area. In the EBU-led digital news project'A European Perspective', EBU Members are using AI enabled recommendation and translation tools (Peach and EuroVox) to deliver real-time news across borders and in the local language. These tools are extensively supervised and reviewed by editorial teams. This is just one example of the innovative use of AI by Public Service Media Within the AI Act, the EBU and its Members have identified areas of concern in the category of high-risk AI systems.
Evidence Prime Has Become a Member of the "AI in Health" Coalition in Poland
Evidence Prime is the result of a collaboration between McMaster University – a leading Canadian academic institution – and a group of experienced Polish IT professionals. As a result, the company is on a path to becoming a market leader in creating innovative, evidence-based IT tools for healthcare professionals. Evidence-based medicine faces many challenges, the biggest of which is currently information overload and chaos due to the high number of studies being conducted at increased speed. Furthermore, synthesizing the records required to make the right decisions is highly labor-intensive, slow, and very costly. Our achievements make it possible to reduce this problem significantly by accelerating the process of creating systematic reviews while maintaining the highest quality possible.
How LinkedIn Personalized Performance for Millions of Members using TensorFlow.js
The Performance team at LinkedIn optimizes latency to load web and mobile pages. Faster sites improve customer engagement and eventually revenue to LinkedIn. This concept is well documented by many other companies too who have had similar experiences but how do you define the optimal trade off between page load times and engagement? The relationship between speed and engagement is non-linear. Fast loading sites, after a point, may not increase engagement by further reducing their load times.
World Customs Organization
Try here the demonstration tool for automatically classifying goods with their commercial descriptions and experience how AI could assist core Customs operations. As the awareness among Customs agencies about the importance and the interest in its application grows, the BACUDA expert team with the support of CCF-Korea continues to deliver state of the art methods and training material to meet the demands of Members. Complementing the development of the neural network model to support the classification of goods in Harmonized System, an online advanced Data Analytics course including a practical module on the HS recommendation algorithm was published on CLiKC!, the WCO e-learning platform. The BACUDA team of experts collaborated on the development of an AI model to recommend HS codes, which aims to support commodity classification for Customs officials by using historical data to predict HS codes upon the entry of the commercial descriptions of goods. An accompanying tool provides a demonstration on the functions which the model offers.
- Education > Educational Setting > Online (0.61)
- Media > News (0.40)
- Law > International Law (0.40)
- (2 more...)
Smart sweat: Peloton's AI is the future of home fitness
AI is driving the future of fitness, and companies like Peloton are leveraging the technology to enhance products and improve experiences for users. But what role will AI and data play in the future of at-home and connected fitness, and how it will increasingly shape the landscape? It's hard to justify paying $2,300 for a smart exercise bike. Luckily, there are a few alternatives to Peloton available. Peloton Guide (Peloton's first connected strength device) is a good case study.
Black in Robotics 'Meet The Members' series: Vuyo Makhuvha
Before droves of people descend on a convention center for a trade show or conference, the hall must be carefully divided up to accommodate corporate show booths, walkways for attendees, spaces for administrators/security and much more. The process of defining the layout and marking it up for construction crews is often done with humans laboriously measuring and marking distances, but Lionel can do all of this for you. Once given a plan, it zooms along empty convention halls while precisely marking all of the dimensions for the schematics that you have in mind. Lionel, the floor-marking robot, was made specifically for the organizers of trade shows and conferences. Lionel isn't a robot that you'd typically think of when you imagine new applications of technology, but it fills a niche that there is strong demand for.
- Asia > China > Hong Kong (0.05)
- Africa > South Africa > Western Cape > Cape Town (0.05)
Black in Robotics 'Meet The Members' series: Andrew Dupree
Inside of the development studios of San Francisco-based Dexterity, Inc. there is a robot arm that stands as tall as a human. It is placed between a conveyor belt and several wooden pallets, all of which are typical of most warehouse packing facilities. But this is no typical warehouse facility. This is the location where most warehouse packing facilities would have teams of people manually picking up boxes from the conveyor belt and carefully placing them onto the pallets for wrapping and shipping, but there are no such people here. Instead, as the packages come down the belt, this robot recognizes them, picks them up, and then deposits them onto the target pallet with a gentle touch.
- North America > Haiti (0.32)
- North America > United States > California > San Francisco County > San Francisco (0.25)
- North America > United States > Maryland > Prince George's County > College Park (0.05)