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China looks to overtake US lead in AI research

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A new study from a team of economists at the University of Toronto has concluded that China is steadily gaining on the United States in the field of artificial intelligence.

The 2017 Association for the Advancement of Artificial Intelligence (AAAI), a worldwide conference that presents the achievements of the world’s AI leaders, indicated that 23 percent of the authors of academic papers were based from China, according to the AI and International Trade study. This was a massive leap in terms of research output, considering that Chinese AI researchers only contributed 10 percent of the research output in the 2012 AAAI.

The United States, on the other hand, seems to be experiencing a steady decline in its artificial intelligence initiatives. While 34 percent of the academic papers presented in the 2017 AAAI were still American, the number shows a significant decrease from the output of the country’s researchers back in 2012, when studies from the United States represented 41 percent of the academic papers in the conference.

The University of Toronto researchers ranked the world’s most AI-active countries based on time-series data on the institutional affiliation of all authors of papers presented at the AAAI Conference. From this data, the economists concluded that China is catching up rapidly to the United States, with the former exhibiting a 13% growth in research output and the latter showing a 6% decline in academic papers from 2012-2017. The other countries in the Top 5 of the study’s rankings — the UK, Singapore, and Japan — were fairly consistent with their research output during the same period.

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In a statement to the New York Times, Elsa Kania, an adjunct fellow at the Center for a New American Security, stated that the United States’s own AI initiatives during the Obama administration might have ironically triggered the artificial intelligence boom in the Asian economic superpower.

“It is remarkable to see how AI has emerged as a top priority for the Chinese leadership and how quickly things have been set into motion. The US plans and policies released in 2016 were seemingly the impetus for the formulation of China’s national AI strategy,” she said.

Not long after the release of the previous administration’s AI reports, China unveiled a plan to become a world leader in artificial intelligence by 2025. By 2030, China aims to have an AI industry worth $150 billion to its economy — one that can stoke national pride and spark breakthroughs in the field.

AI will foster an era of ‘superhuman’ workers, says Google X founder [Photo credit: iStockPhoto]

Seemingly in contrast to China, the United States appears to have tempered down its efforts to maintain its lead in the artificial intelligence field. In a statement to the New York Times, Jack Clark of Elon Musk-backed OpenAI stated that the United States currently lacks a central national strategy in AI. Unfortunately for the US, a focused national stance on intelligent technologies is something that China has in abundance.

“We may have a bunch of small initiatives inside the government that are doing good, but we don’t have a central national strategy. It is confusing that we have this technology of such obvious power and merit and we are not hearing full-throated support, including financial support,” Clark said, according to an NYT report.

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As we noted in a previous report, China recently announced a massive AI-driven initiative in the form of a massive 54.87-hectare, 13.8 billion yuan ($2.1 billion) technopark in Beijing that would house companies directly involved in the development of AI technologies and machine learning. The technopark is part of China’s attempts at attaining global AI superiority by 2025.

Overall, despite warnings from Tesla and SpaceX CEO Elon Musk and prominent physicists such as Stephen Hawking, countries such as China are going full throttle towards a future that is rife with evolving, intelligent AI.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla reveals huge Cybercab detail in new guide for First Responders

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Credit: Tesla

Tesla revealed a major new Cybercab detail in a guide it released for First Responders, showing new territory in its beliefs and intentions for the ride-hailing-focused vehicle that entered production in April.

The First Responders Guide is released to give fire departments, paramedics, and other emergency personnel the proper guidance on what to do in the event of an accident, entrapment, or other situation that would require immediate attention.

On one of the pages of the First Responders Guide, Tesla revealed a stark detail about the Cybercab, which could help personnel enter the vehicle more easily in case of an emergency.

Tesla Cybercab has one important piece that AI4 cars might need for FSD

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It shows Tesla has no intention of releasing any Cybercab units that were initially proposed for ride-hailing services for the general public with any manual controls, meaning a steering wheel or pedals:

“A Cybercab equipped with steering wheel, brake pedal, and an acceleration pedal is typically an engineering or test vehicle, and operates at SAE Level 2 autonomy. Cybercab is not typically equipped with a steering wheel or acceleration and brake pedals.”

This is a major development for those who continue to believe Tesla planned to release the Cybercab with any sort of manual controls so that passengers could take over if needed. However, when Tesla started manufacturing production versions of the Cybercab in Giga Texas earlier this year, they were spotted without a steering wheel or pedals.

It essentially confirms the company has no intentions of bringing manual controls to the car’s production versions. Some have argued that the likelihood of Tesla having something

There still are some Cybercab units out there with a steering wheel and pedals, and as Tesla said, these cars are engineering or test vehicles, which have Safety Monitors on board to help the car out of a precarious situation or emergency.

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Tesla Full Self-Driving v14 ‘Lite’ Release Notes: new capabilities and features

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(Credit: Megan Gale/Twitter)

Tesla released the Full Self-Driving v14 ‘Lite’ suite to owners of Hardware 3 or AI3 vehicles today, adding several new features to the vehicles that were once believed to be capable of unsupervised self-driving.

Now, Tesla has released this modified suite to older Tesla vehicles, adding plenty of new features and capabilities.

Here are the full release notes for the suite:

  • Distilled the intelligence from HW4 V14 into HW3. This allows HW3 to directly learn how to handle scenarios using HW4 V14 as a guide. This process unlocks the improvements that have been made to HW4 including Reinforcement Learning (RL) and offline models for HW3.
  • Improved both proactive and reactive responsiveness across a wide variety of categories including navigation handling, merges and forks, pedestrian interactions, traffic lights, and vehicle cut-in scenarios.
  • Improved general comfort in nominal scenarios through fewer false slowdowns, smoother steering and more consistent lane centering.
  • Introduced parking, unparking, and reversing capabilities.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, or at the Curbside.
  • Speed Profiles are now available at all times, to further customize driving style preference.

These improvements, according to Tesla’s Head of AI, Ashok Elluswamy, help distill the driving behavior from AI4’s v14 series into both the camera and compute configurations of AI3.

Tesla Full Self-Driving v14 ‘Lite’ for older cars finally gets released

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He added:

“It includes destination options and speed profiles on city roads, but more importantly significantly improved safety. We hope you’ll enjoy it, once the build ships wide.”

Tesla will continue to roll out the v14 Lite suite more widely in the coming weeks, the company said.

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Tesla Full Self-Driving v14 ‘Lite’ for older cars finally gets released

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tesla model 3 model y
Credit: Tesla Inc.

Tesla has finally released its Full Self-Driving v14 ‘Lite’ suite for older cars that equip the Hardware 3 or AI 3 chip, which have not been able to handle the newest versions of the company’s driver assistance software.

Tesla officially started releasing the v14 Lite suite to owners in the Early Access Program last night. The company’s Head of AI, Ashok Elluswamy, said that the rollout will continue over the next few weeks. The build distills the driving behavior from AI4’s v14 series into both the camera and compute configurations of an AI3 car.

It also includes a variety of new features that were available to AI4 cars running v14, including:

  • Start Self-Driving from Park
  • Arrival and Parking Options
  • Speed Profiles

The release is highly anticipated because those owners with AI3 vehicles were early adopters into the FSD platform and were promised that their cars would be capable of achieving Full Self-Driving.

However, Tesla CEO Elon Musk admitted during the company’s recent Q1 Earnings Call that these vehicles would not be capable of achieving unsupervised Full Self-Driving, which is what Tesla had originally said.

Owners were not pleased with this answer, or the idea that their commitment to buying the suite outright for thousands of dollars would not yield the ability to drive without operating the car. Tesla gave some solutions for this, including a discount on a new car, or an upgrade to an AI4 or AI5 self-driving computer and new, upgraded cameras.

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Tesla owners do not seem pleased with these options, as they require giving the company more money.

Nevertheless, it is important to note that Tesla came through for owners here by releasing v14 Lite before the end of Q2, something it had promised owners during the previous Earnings Call. Tesla has had trouble keeping up with timelines, but this is a big achievement for the team.

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