The majority of NLG systems have been designed following either a template-based or a pipeline-based architecture. Recent neural models for data-to-text generation have been proposed with an end-to-end deep learning flavor, which handles non-linguistic input in natural language without explicit intermediary representations. This study compares the most often employed methods for generating Brazilian Portuguese texts from structured data. Results suggest that explicit intermediate steps in the generation process produce better texts than the ones generated by neural end-to-end architectures, avoiding data hallucination while better generalizing to unseen inputs. Code and corpus are publicly available.

The White House issued a call for artificial intelligence systems to be developed with built-in protections Tuesday, even as the tech industry barrels forward in an AI free-for-all. Why it matters: Automated systems can influence or even determine important aspects of Americans' lives, including healthcare, employment, housing and education. In the U.S., government regulations covering the new technology remain minimal or nonexistent. Driving the news: The Blueprint for an AI Bill of Rights, released Tuesday by the Office of Science & Technology Policy, describes 5 principles that should be incorporated into AI systems to insure their safety and transparency, limit the impact of algorithmic discrimination, and give users control over data. The report details real-world consequences of failures to put such principles into practice.

Early-stage companies are innovating new artificial intelligence-based solutions, but they often face questions as to whether such technology can be protected and the best strategy for doing so. Without an understanding of how to protect their R&D investment and claim technology as proprietary, startup companies are leaving a tool behind, possibly forfeiting market share and investments as a result. The considerations below will be useful for companies trying to understand the opportunities to protect their innovation. AI software is patentable, and applicants are seeking protection at a remarkable rate. In 2000, the U.S. Patent and Trademark Office (USPTO) had received about 10,000 applications directed to artificial intelligence, and by 2020, that number reached about 80,000 applications, of which 77% were approved.

A new AI system or tool pops up every day. AI systems are more popular than ever -- and smarter. From large language models such as GPT-3 to text-to-image models like Dall-E and, most recently, text-to-video systems like Imagen Video -- a system Google introduced on Oct. 5 that takes a text description and generates video -- AI systems have also become more sophisticated. However, sophistication comes at a cost, according to Chirag Shah, associate professor in the Information School at the University of Washington. While the systems' creators have tried to make the systems smart, they haven't done the same in making them fair and equitable, Shah said.

Today's world is full of sensors, and the higher your nation-state is on the advanced-industrial food chain, the more likely it is that you carry a sensor on your person every minute of every day (and for many, even while asleep). That matters: the data collected by these sensors can be stored, analyzed, and weaponized. And although most of today's data collectors are for-profit corporations, there are dire risks alongside the potential for breakthroughs in areas such as medicine and global warming. The collection, analysis, storage, and theft of information about you have lethal implications; both for you as an individual and for all of us in terms of interstate war. In his 2018 book AI Superpowers, author and entrepreneur Kai-Fu Lee likened big data to the new crude oil and noted that insofar as the analogy holds, that would make the People's Republic of China (PRC) the world's data Saudi Arabia.

The volume of money laundering and other financial crimes is growing worldwide--and the techniques used to evade their detection are becoming ever more sophisticated. This has elicited a vigorous response from banks, which, collectively, are investing billions each year to improve their defenses against financial crime (in 2020, institutions spent an estimated $214 billion on financial-crime compliance). 1 1. What's more, the resulting regulatory fines related to compliance are surging year over year as regulator's impose tougher penalties. But banks' traditional rule- and scenario-based approaches to fighting financial crimes has always seemed a step behind the bad guys, making the fight against money laundering an ongoing challenge for compliance, monitoring, and risk organizations. Now, there is an opportunity for banks to get out in front.

The idea of intentionally smashing a spacecraft into an asteroid may evoke memories of science fiction blockbusters such as Armageddon or Deep Impact. But it became a reality last week, as NASA's Double Asteroid Redirection Test (DART) spacecraft soared into a small asteroid called Dimorphos at 14,000mph, with the aim of tweaking its orbit. The space agency hopes the technology could one day be used to defend Earth against a'doomsday' asteroid or comet. But could we really avoid a future Armageddon if we detected a huge space rock headed our way? MailOnline's Executive Science and Technology Editor, Shivali Best, investigates.

Artificial intelligence presents a major challenge to conventional computing architecture. In standard models, memory storage and computing take place in different parts of the machine, and data must move from its area of storage to a CPU or GPU for processing. The problem with this design is that movement takes time. You can have the most powerful processing unit on the market, but its performance will be limited as it idles waiting for data, a problem known as the "memory wall" or "bottleneck." When computing outperforms memory transfer, latency is unavoidable.

"Barcelona has triumphed over Madrid as Spain's startup capital because of the deal flow and the talent," explains Miquel Martí, Tech Barcelona's CEO. "International talent is attracted by the lifestyle, the strength of the ecosystem, and the presence of international companies." According to Barcelona & Catalonia Startup Hub--the region's startup directory--there are over 1,900 startups in Catalonia, mostly concentrated in Barcelona; since 2016, the number has grown by over 75 percent. The city has long had a strong tradition of health-tech startups fueled by university and regional government collaboration, but successful founders have been funding, supporting, and starting other companies, as well as diversifying into construction, mobility, and sustainability. There's also been a slow trickle of fintech companies from London, lured by post-Brexit border-free banking, good weather, a lower cost of living--and the beach.

Innovations in artificial intelligence are making it faster and cheaper for political campaigns to identify, turn out and extract money from voters. The big picture: Consultants for both major parties are hoovering up voter data to hone advanced fundraising and persuasion tactics. These data tools are especially useful in down-ballot local races. What's happening: A host of consultancies are now marketing their use of AI and machine learning to boost political clients. What they're saying: "This is a super-weapon that Democrats have," boasted Martin Kurucz, Sterling's managing partner, who says his firm has worked with about 1,000 Democratic campaigns and political committees.