[Podcast]  AI: Buzzword or breakthrough

Join us as we talk to Kartik Hosanagar, John C. Hower Professor of Technology and Digital Business and a Professor of Marketing at The Wharton School of the University of Pennsylvania. Kartik’s research focuses on the digital economy, in particular the impact of analytics and algorithms on consumers and society, Internet media, Internet marketing and e-commerce. In this episode, we dive into the Artificial Intelligence (AI) landscape by discussing key players, new and exciting areas of development, applications across industries, impact on jobs, algorithms, the balance between transparency and control and the science behind machine learning (ML).

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Cambridge Quantum Appoints Professor Stephen Clark as Head of Artificial Intelligence

Cambridge Quantum Computing

Cambridge Quantum Computing (CQC) are pleased to announce the appointment of Prof. Stephen Clark as Head of Artificial Intelligence. Prof. Clark joins CQC from DeepMind where he was a Senior Staff Research Scientist and led a team working on grounded language learning in virtual environments. He also holds an Honorary Professorship at Queen Mary University of London.

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Hugging Face gets an Amazon treatment

AWS Hugging Face

To amplify the process of embracing natural language processing models via the power of AI, Amazon Web Service (AWS) chose to collaborate with Hugging Face, who are pursuing various ways to make this process elementary.

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5 Natural Language Processing companies using GPT-3

Natural Language Processing

Many startups and companies are scrambling to make use of these powerful new AI tools. Despite the cautions and the hype, the applications of GPT-3 and other NLP are endless and run the gamut of email assistants, language translation, document retrieval, gaming, and dealing with angry customers. In this article, we take a look at five companies that are using NLP for these types of applications.

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[Paper] Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

Model interpretability is crucial if we want to use AI models to make high-stake decisions (e.g., making medical diagnoses, preventing suicides, etc.). In NLP, one common way to get interpretability is to extract information from the trained models. For example, some use gradient-based input attribution techniques…

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8 Great Python libraries for Natural Language Processing

In this article we’ll discover every of the NLP libraries out there for Python—their use circumstances, their strengths, their weaknesses, and their basic degree of recognition. Word that a few of these libraries present higher-level variations of the identical performance uncovered by others, making that performance simpler to make use of at the price of some precision or efficiency. You’ll wish to select a library well-suited each to your degree of experience and to the character of the challenge.

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BMW’s iDrive 8 helps drivers using machine learning and natural language processing

BMW iDrive 8

Two decades after its debut in the 2001 Series 7, BMW’s iDrive infotainment system is among the best on the market. It’s about to get even better — think, natural language processing, gesture control and cloud-based machine learning — with the release of its latest iteration, iDrive 8, aboard the upcoming BMW iX and i4.

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Guide to SciBERT: A pre-trained BERT-based language Model for scientific text

SciBERT is a pre-trained BERT-based language model for performing scientific tasks in the field of Natural Language Processing (NLP). It was introduced by Iz Beltagy, Kyle Lo and Arman Cohan – researchers at the Allen Institute for Artificial Intelligence (AllenAI) in September 2019 (research paper). Since the architecture of SciBERT is based on the BERT…

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Stanford University – Strategic AI shapes economy, policy

dollar bills

According to an annual AI index released this week by Stanford University’s Institute for Human-Centered Artificial Intelligence, AI is gradually reshaping segments of the global economy in sectors like bioscience and healthcare. Those investments have caught the attention of policy makers. The index notes growing congressional attention to AI technology as a strategic asset. To that end, U.S. lawmakers concerned about China’s expanding AI strategy this week proposed the creation of an interagency office to coordinate AI and other technology research.

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Annual index finds AI is ‘industrializing’ but needs better metrics and testing

Geographical published AI strategies

The 2021 AI Index from Stanford University gathers data about AI research, startups, and changes to business and government policy.

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Artificial Intelligence (AI) tools realities: 5 questions to ask your developers

AI Business

Artificial Intelligence (AI) tools that just a few years ago would have been found only at the most cutting-edge companies are now becoming commonplace. But while specialized hardware, software, and frameworks may be more mainstream these days, the knowledge and experience to use them effectively has not kept up. Here are five essential questions to ask your development teams before you finalize your AI strategy.

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Why ethical A.I. is nonsense

Robo Saint and Devil

It is a well-known fact that systems built with A.I. technology are often showing unethical behavior. They can be racist, sexist, or otherwise biased. The problem are not the algorithms. They are just applied mathematics and therefore quite incorruptible. But the models built with these algorithms are trained using data created by humans. And this is where the bias comes from. Humans behave often unethical and is is therefore not surprising for A.I. to show corresponding behavior.

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Using natural language processing to unlock SDOH in unstructured EHR data

Lab Assistant dictating

Medical care is estimated to account for only 10-20% of healthcare outcomes. As a result, healthcare executives who wish to deliver high-quality care have to consider other elements that impact patient health, including income, access to healthcare, racial discrimination, adequate medication and dietary intake.

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