The graph represents a network of 2,273 Twitter users whose tweets in the requested range contained "TopCyberNews", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 18:20 UTC. The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000. The tweets in the network were tweeted over the 4-day, 1-hour, 45-minute period from Monday, 10 February 2020 at 23:14 UTC to Saturday, 15 February 2020 at 01:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The idea of robots picking items from warehouse shelves may still seem futuristic today. But the future may be closer than many people think. Of the almost 1 million robots we expect to be sold for enterprise use in 2020, we predict that just over half of them will be professional service robots, generating more than US$16 billion in revenue--30 percent more than in 2019. What's more, with regard to enterprise spending, the market for professional service robots is growing much faster than that for industrial robots (figure 1). If recent trends are any sign, professional service robots may pass industrial robots in terms of units in 2020 and revenue--in 2021. That's not to say that the industrial robotics market is hurting.

I am scrolling idly through TikTok when I see her, drag queen Bijou Bentley performing her routine to a remix of Nicki Minaj's Anaconda. With her ponytail and green twin-set, I immediately recognise that she is not just giving the audience haute couture – this is cosplay. If you have played it, she was your assistant, too. She is the heart of the game, your adviser, your companion. She is a yellow dog in snappy office dress, and she is always so happy to see you.

As covid-19 spreads across the globe taking a toll on human life, wreaking havoc on healthcare systems, and throwing financial markets into turmoil, governments and industry are doing everything they can to help slow the spread of the virus and "flatten the curve" of the pandemic. Over the past few weeks, we've seen that Artificial Intelligence can play a supporting role in helping control the pandemic. These are some of the ways AI technology is being deployed to help curtail the devastating impact of the virus. Even before Covid-19 became part of our daily vernacular, platforms such as Amazon, Facebook, Google, YouTube, and Twitter have faced serious issues in properly automating listening and content moderation tools. Ultimately these platforms have struggled to keep pace with the overwhelming flood of content posted, advertisements placed and uploaded every day and require human adjudication of complaints.

Using dotData, an automated machine learning vendor, one of the largest insurance firms in Japan built out an AI platform that provides a personalized experience to customers. Mitsui Sumitomo Insurance, one of the largest insurance firms in Japan, began the process of digital transformation several years ago. The company launched multiple projects, and continues to start new projects, to send it further into the digital age. One of MSI's more ambitious undertakings is the MS1 Brain platform, an AI in insurance project to create a more personalized experience for customers. Released earlier this year, the MS1 Brain platform uses machine learning and predictive analytics, along with customer data, including contract details, accident information and lifestyle changes, to recommend products and services to customers based on their predicted needs.

Late last year, the European Commission's Expert Group on Liability and New Technologies – New Technologies Formation (NTF) released a report on Liability for Artificial Intelligence. The report focuses on liability regimes across European Union (EU) member states and offers high-level recommendations on how those liability regimes can be adapted to meet challenges posed by artificial intelligence (AI) and other digital technologies. Insights from this report may inform legislative and regulatory changes in the EU and elsewhere, including in Canada. Here's what you need to know. The NTF first convened in June 2018.

"One of the agency's top priorities is to ensure that the United States maintains its leadership in innovation, especially in emerging technologies such as artificial intelligence (AI). To that end, the USPTO has been actively engaging with the innovation community and experts in AI to determine whether further guidance is needed to promote the predictability and reliability of intellectual property rights relating to AI technology and to encourage further innovation in and around this critical area." Browse USPTO leadership's speeches, blogs, and events about AI and learn more about our approach. Find our Federal Register Notices (FRNs) on AI and responses to see how policy is shaped. Discover other resources for AI and learn about cross-government goals shared by other federal entities.

Enabling an edge-computing architecture with AI is seen as a way forward for advances in strategic applications. And at the advent of 5G network speeds, AI is seen as essential to the endpoints. A new network paradigm based on virtualization enabled by Software Defined Networking (SDN) and Network Function Virtualization (NFV), presents an opportunity to push AI processing out to the edge in a distributed architecture, suggests a recent report from Strategy Analytics. Three types of edge computing are foreseen: device as the edge, in which an IoT device generates and consumes data and has embedded AI that can send and receive data to and from additional AI systems; enterprise premise network edge, that can support AI processing on a piece of hardware in a vehicle, drone or machinery, and can collect and process data from smart devices; and operator network edge, with an AI stack/platform to host applications and services, which may be located at a micro data center in a radio tower, edge router, base station or internet gateway. "One of the challenges this new networking paradigm creates stems from the fact that the edge of the network is consistently shifting and moving," stated Caroline Chan, VP and GM, 5G Infrastructure Division, Network Platform Group, Intel, sponsor of the report. In a cloud/client architecture, the link between the centralized cloud and the client has become a bottleneck as more data is processed and network latency increases, causing too much of a time delay.

Cattle farmers have been incorporating new technologies into their management of cows for years now, using everything from facial recognition to milking robots. But the internet went wild in late November when a story about Russian farmers using virtual reality goggles on cows went viral. While that story was treated with a fair amount of skepticism from farmers and experts, it did bring a spotlight to the many ways cattle farmers are using technology to reduce the carbon footprint of cows and make farm management more sustainable. "Cows are one of the most important areas that we need to improve tech applications to, principally because on a global agricultural systems basis, cows are our single best source of recycling waste nutrients," said David Hunt, co-founder of Cainthus, an agritech company, based in Dublin, California and Ottawa, focusing on digitizing agricultural practices with computer vision and AI. "The criticism of cows that is valid is the methane emissions that go with cows and one of the most important areas in agricultural tech is reducing those methane emissions."

As Covid-19 continues to spread, the world has gone digital on an unprecedented scale. Tens of thousands of employees are working from home, and huge conferences, like the Google I/O and Apple WWDC software extravaganzas, plan to experiment with digital events. Universities too are sending students home. This might have meant an extended break from school not too long ago. As lecture halls go empty, an experiment into digital learning at scale is ramping up.