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Tag Archives: AI

TMT Horizons 2019: Dynamism of TMT sector set to continue

Challengers can reach scale seemingly overnight, forcing market change at a similar speed. Established business models are upended, driving consolidation and restructuring. Regulators rush to respond, radically reshaping the environment. These trends show no sign of slowing down. This year’s TMT Horizons includes 22 short articles contributed by our lawyers around the globe, focusing on

Hogan Lovells Innovation Lounge talks data privacy, drones, 3D printing, autonomous vehicles and AI. Catch the next edition in July

On April 16 we held the latest Innovation Lounge at our Washington D.C. office. Law students, associates, counsel, and government employees alike listened to a select panel of tech titans from Koch, MOBORK, Rosetta Stone, and GE address the latest issues in the innovative tech and regulatory space. Senior Associate Andrea DiSandro chaired the event

U.S. – NIST Seeking Input on AI Technical Standards by May 31, 2019

On May 1, 2019, the National institute of Standards and Technology (NIST) announced a Request for Information (RFI) in the Federal Register regarding ongoing efforts to develop technical standards for artificial intelligence (AI) technologies and the identification of priority areas for federal involvement in AI standards-related activities. Responses to the RFI are due by May

Russia CIS: 2019 Chambers Global Practice Guide in Technology, Media, and Telecoms

A team of lawyers from Hogan Lovells contributed to the 2019 Chambers Global Practice Guide in Technology, Media, and Telecoms. They provided legal commentary and insights on TMT industry trends and developments impacting businesses in Russia and the Commonwealth of Independent States. The chapter “TMT Trends and Developments in Russia” provides an overview of mass

Life Sciences and Health Care Horizons 2019 publication: IP in the mix

Innovation in the life sciences and health care industries is occurring at a dizzying pace. Five years ago, anti-PD-1 antibodies from Merck and BMS had yet to be approved, CAR-T therapies were still in small-scale clinical trials, and digital health was seen as electronic step counters and little else. Today, cures are being found for

HL.com interview – Litigating IP issues: The impact of AI and machine learning

As artificial intelligence (AI) and machine learning are integrated into an increasing number of products and services, litigation issues involving patents and trade secrets will increase. In this hoganlovells.com interview, IP partners Celine Crowson (Washington, D.C.), Jason Lohr (San Francisco/Silicon Valley), and Dr. Chris Mammen (San Francisco) discuss the evolution of AI and machine learning

2018 – The year the pharma industry felt AI’s impact and potential

Artificial Intelligence (AI)  is not new… but this year its impact, and the potential for change, was felt across the pharma industry in areas such as drug discovery, tech collaboration, regulation and patentability. When considering the reasons for this, the answer is not that AI is new. ‘AI’ is an umbrella term covering a spectrum

Legal landmines lie in wait for machine learning applications

An ever-increasing variety of companies are incorporating machine learning into their products and services. Machine learning provides the ability to quickly and accurately perform, in parallel, a large number of well-defined tasks. The accuracy will improve over time as additional data is obtained and the machine learning model continues to “learn”. Many companies, however, are

The skilled machines disrupting drug design

Capable of identifying novel compounds for therapeutic use, AI is saving time and costs in a process that can take around 10 to 15 years and billions of pounds to complete. For the pharmaceutical industry, which has traditionally relied on patents to protect innovation and fund R&D, this should be good news, but is an

EU Patent Office publishes preview of guidelines on patenting AI applications

The preview-version of the EPO’s Guidelines for Examination is out now (link here), and, for the first time ever, there is specific guidance on patenting AI applications – Are there any surprises in the Guidelines? Earlier this year the European Patent Office (“EPO”) held its first ever conference on patenting artificial intelligence (“AI”). Following intensive

AI, machine learning & legal tech: The 6th Hamburg Legal Tech Meetup at Google with Hogan Lovells

On September 6, the sixth Hamburg Legal Tech Meetup took place at Google’s German headquarters in Hamburg. The Hamburg Legal Tech Meetup is an event series initiated by Nico Kuhlmann (Hogan Lovells). The gathering of stakeholders aims at elaborating new ways of adapting legal services to digitalisation by further enhancing interdisciplinary and inter-industry exchange in the

Brand Benchmarking 2018 TMT Trends: Companies focus on EU and North America

The Hogan Lovells Brand Benchmarking 2018 report was published earlier this year. In the second of a series of articles, we look at some of the findings relating to the Technology, Media and Telecoms sector. TMT companies accounted for 23% of the 200 responses to the survey, making them the second largest sector after Diversified

Data commercialisation strategy: A drill-down with Financier Worldwide

In this new article in Financier Worldwide, IP Partners Zenas J. Choi and Cullen G. Taylor take a look at how businesses should develop strategies to turn a wealth of raw data into valuable assets by harnessing the power of new tech and capturing the value that legal solutions provide. The following key areas are covered:

Artificial Intelligence and your business: A guide for navigating the legal, policy, commercial, and strategic challenges ahead

Virtually all industries are being reshaped with the use of Artificial Intelligence and advanced machine-learning. Everything from healthtech to self-driving vehicles, to education and smart homes, drones and space, social media, and beyond is being affected. These new technologies present a variety of commercial opportunities and the potential to change our daily lives. At the

AI: the future of your brand protection and enforcement strategy

…that’s the view of many of the respondents to our Brand Benchmarking 2018 survey. Over 200 brand owners of all shapes, sizes, industries and locations were surveyed on how they manage their trademark portfolios. Our analysis revealed that: 93% of respondents believe that artificial intelligence (AI) will have a positive influence: saving them time and money. Six of

Looking ahead at AI’s effect on IP in the pharma sector

In April’s issue of Pharma Times Magazine, partner Cullen Taylor explores how new machine learning technologies may have far-reaching, unexpected effects on IP and patent law. Cullen’s article looks at how AI is likely to accelerate the process of developing drugs and identifying patients who can benefit from them. It outlines patentability challenges for policy makers as well

Webinar, 17 March: Law & technology trends for 2017 – key academics weigh in

On Friday 17 March top academic thinkers will exchange ideas with Hogan Lovells, including Seagull Song of our IP team in LA, via webinar on key technology drivers for 2017. The discussion will focus on how data protection, antitrust, copyright, and internet regulation will need to adapt to disruptive technologies, such as AI and blockchain.

The Patent Implications of Using AI in the Global Marketplace

International usage can lead to problems through data collection, disclosure and more. In addition to issues regarding inventorship and infringement, companies utilizing artificial intelligence (AI) and machine learning may face obstacles when training data is obtained internationally. Many applications of machine learning continually train and update the relevant models and neural networks using data collected

Artificial intelligence drives new thinking on patent rights

A new paradigm will shake up the IP landscape, as cognitive activities once performed by humans will now increasingly be performed by machines. Artificial intelligence and machine learning (collectively AI) are hot topics in almost every industry, affecting everything from robotics, autonomous vehicles, and consumer devices to health and pharmaceutical technologies. AI is being used