"QC Ware estimates that with Forge Data Loaders, the industry's 10-to-15-year timeline for practical applications of QML will be reduced significantly," said Yianni Gamvros, Head of Product and Business Development at QC Ware. "What our algorithms team has achieved for the quantum computing industry is equivalent to a quantum hardware manufacturer introducing a chip that is 10 to 100 times faster than their previous offering. This exciting development will require business analysts to update their quad charts and innovation scouts to adjust their technology timelines." Apart from the Forge Data Loaders, the latest release of Forge includes tools for GPU acceleration, which allows algorithms testing to be completed in seconds versus hours, and turnkey algorithms implementations on a choice of simulators and quantum hardware. Quantum hardware integrations include D-Wave Systems, and IonQ and Rigetti architectures through Amazon Braket.

Momenta Ventures is pleased to announce an investment in Edge Impulse, the leading platform for developing intelligent devices using embedded machine learning (TinyML). Founded by Zach Shelby and Jan Jongboom, Edge Impulse has become the standard for edge-intelligence using machine learning with already 2,700 projects created on its easy-to-use and extensible platform since January. Edge Impulse is well-positioned to become a leader in edge intelligence, leveraging the convergence of low-cost, high-performance microprocessors and low-power, wide area networks such as LoRaWAN, to create intelligent, extremely low-power and wireless devices. Today, almost 99% of sensor data goes unused given the cost to transmit this back to applications. To read more see Zach's blog on Embedded ML for All Developers.

Ideal point models analyze lawmakers' votes to quantify their political positions, or ideal points. But votes are not the only way to express a political position. Lawmakers also give speeches, release press statements, and post tweets. In this paper, we introduce the text-based ideal point model (TBIP), an unsupervised probabilistic topic model that analyzes texts to quantify the political positions of its authors. We demonstrate the TBIP with two types of politicized text data: U.S. Senate speeches and senator tweets. Though the model does not analyze their votes or political affiliations, the TBIP separates lawmakers by party, learns interpretable politicized topics, and infers ideal points close to the classical vote-based ideal points. One benefit of analyzing texts, as opposed to votes, is that the TBIP can estimate ideal points of anyone who authors political texts, including non-voting actors. To this end, we use it to study tweets from the 2020 Democratic presidential candidates. Using only the texts of their tweets, it identifies them along an interpretable progressive-to-moderate spectrum.

The Alan Turing Institute is pleased to announce the launch of a new training scheme called the Turing Internship Network. Launched in July 2020, the Turing Internship Network is a national engagement scheme between our business partners and doctoral students across the UK who are studying any topic with a data science and/or AI focus. The Turing's role is to facilitate and convene, pairing internship projects put forward by industry with talented doctoral students. The business partners will host, supervise, and provide a salary for the successful interns. The Turing Internship Network provides a fantastic opportunity for doctoral students to rapidly develop their academic skills in a real-world business setting.

Vectorspace AI and LCX announced their partnership today in an official press release. Vectorspace AI is a spin-off from Lawrence Berkeley National Laboratory (LBNL) and the U.S. Dept. of Energy (DOE). LCX teamed up with Vectorspace AI to leverage their know-how on context-controlled Natural Language Processing, Artificial Intelligence (AI) and Machine Learning (ML) to improve the trading experience for our users. The goal of the partnership is build Smart Baskets for LCX Terminal to enable customized and unique trading opportunities across multiple cryptocurrencies across multiple exchanges, such as Liquid, Kraken, Coinbase Pro, Kucoin or Okex. Smart Baskets will contain cryptocurrencies which share known and hidden relationships based on proprietary Natural Language Processing and Understanding datasets.

Verizon Business (NYSE: VZ) and IBM (NYSE: IBM) today announced they are entering into a collaboration to work together on 5G and edge computing innovation to help enable the future of Industry 4.0. The companies plan to collaborate on solutions combining the high speed and low latency of Verizon's 5G and Multi-access Edge Compute (MEC) capabilities, IoT devices and sensors at the edge, and IBM's expertise in AI, hybrid multicloud, edge computing, asset management and connected operations. Many industrial enterprises are today seeking ways to use edge computing to accelerate access to near real-time, actionable insights into operations to improve productivity and reduce costs. To address this need, the first solutions planned from this collaboration are to be mobile asset tracking and management solutions to help enterprises improve operations, optimize production quality, and help clients enhance worker safety. For these initial solutions, the two companies plan to leverage Verizon's wireless networks, including Verizon's 5G Ultra Wideband (UWB) network, and Multi-access Edge Computing (MEC) capabilities, alongside Verizon's ThingSpace IoT Platform and Critical Asset Sensor solution (CAS).

Melina Gouveia 2020-07-12Tealium had added machine learning to Audience stream, its Customer Data Platform (CDP). Called Tealium Predict ML the company says it is designed to enable marketers to orchestrate real-time customer data, for instance by identifying buyers that are most likely to make a purchase or a segment most likely to churn.The company said in a press statement that the software was designed to pair with its AudienceStream CDP to continuously anticipate customer behaviours using machine learning to power more effective audience segmentation for better customer engagement, conversion rates, and lifetime value.By creating custom-tailored predictions in a matter of clicks, the company says marketers gain insights into the likelihood of customer behaviours as well as full visibility into the data used to generate them. According to Tealium, it is with these insights, brands can effectively and efficiently engage and delight the right customers while improving business outcomes.Tealium's believes its expansion into prediction and decisioning features will help it martech offer stand out among CDP providers, particularly in an environment amidst budget reductions and heightened emphasis on customer retention, where marketers are being asked to deliver greater results with fewer resources.

IBM announced it has reached a definitive agreement to acquire Brazilian software provider of robotic process automation (RPA) WDG Soluções Em Sistemas E Automação De Processos LTDA (referred to as "WDG Automation" throughout). The acquisition further advances IBM's comprehensive AI-infused automation capabilities, spanning business processes to IT operations. Financial terms were not disclosed. In today's digital era, companies are looking for new ways to create new business models, deliver new services and lower costs. The need to drive this transformation is even greater now given the uncertainties of COVID-19.

"Land O'Lakes is one of the most important food suppliers in the U.S., and our nation's farmers and consumers rely on its ability to rapidly adapt to changing market forces through innovation," said Satya Nadella, CEO, Microsoft. "Through our partnership, we will apply the power of Azure and its AI capabilities to help Land O'Lakes solve some of the most pressing challenges facing the industry and bridge the divide between rural and urban communities." "As America's farmers continue to deliver the world's safest, most affordable food supply, they face an increasing number of obstacles that are beyond their control. The data-based, precision agriculture tools that we are building with Microsoft will provide the edge they need, but unreliable or nonexistent high-speed internet in rural areas keeps these tools out of reach for many. Through this alliance, we will work to address this need and help farmers remain profitable and sustainable," said Beth Ford, president and CEO of Land O'Lakes, Inc.

In October 2019, AWS announced that it was working with Facebook, Microsoft, and the Partnership on AI on the first Deepfake Detection Challenge. Deepfake algorithms are the same as the underlying technology that has given us realistic animation effects in movies and video games. Unfortunately, those same algorithms have been used by bad actors to blur the distinction between reality and fiction. Deepfake videos result from using artificial intelligence to manipulate audio and video to make it appear as though someone did or said something they didn't. For more information about deepfake content, see The Partnership on AI Steering Committee on AI and Media Integrity.