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Can your startup support a research-based workflow?

The President’s Council of Advisors on Science and Technology predicts that U.S. companies will spend upward of $100 billion on AI R&D per year by 2025. Much of this spending today is done by six tech companies — Microsoft, Google, Amazon, IBM, Facebook and Apple, according to a recent study from CSET at Georgetown University. But what if you’re a startup whose product relies on AI at its core?

Can early-stage companies support a research-based workflow? At a startup or scaleup, the focus is often more on concrete product development than research. For obvious reasons, companies want to make things that matter to their customers, investors and stakeholders. Ideally, there’s a way to do both.

Before investing in staffing an AI research lab, consider this advice to determine whether you’re ready to get started.

Compile the right research team

Assuming it’s your organization’s priority to do innovative AI research, the first step is to hire one or two researchers. At Unbabel, we did this early by hiring Ph.D.s and getting started quickly with research for a product that hadn’t been developed yet. Some researchers will build from scratch and others will take your data and try to find a pre-existing model that fits your needs.

While Google’s X division may have the capital to focus on moonshots, most startups can only invest in innovation that provides them a competitive advantage or improves their product.

From there, you’ll need to hire research engineers or machine learning operations professionals. Research is only a small part of using AI in production. Research engineers will then release your research into production, monitor your model’s results and refine the model if it stops predicting well (or otherwise is not operating as planned). Often they’ll use automation to simplify monitoring and deployment procedures as opposed to doing everything manually.

None of this falls within the scope of a research scientist — they’re most used to working with the data sets and models in training. That said, researchers and engineers will need to work together in a continuous feedback loop to refine and retrain models based on actual performance in inference.

Choose the problems you want to solve

The CSET research cited above shows that 85% of AI labs in North America and Europe do some form of basic AI research, and less than 15% focus on development. The rest of the world is different: A majority of labs in other countries, such as India and Israel, focus on development.

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Borderlands 3 bridges the gap between citizen science and blockbuster games

The Borderlands series has long offered players a chaotic loot scramble of explosive cel-shaded cartoon violence and intricately tuned shooting that leaves anything that isn’t the fun part on the cutting room floor. It’s like the gaming equivalent of a very large, very rich dessert — and what if, by eating dessert, you could also make the world better? Imagine.

Borderlands 3 publisher 2K and developer Gearbox Software is elevating the series’ latest game to lofty new ideals with a new in-game experience called Borderlands Science, a crowdsourced citizen science project that will leverage the hit game’s massive player base to conduct actual scientific research. In this case that’s mapping the gut microbiome — one of the most interesting frontiers in biological science right now. Scientists believe that microbes in the gut could play a role in everything from autism to allergies, though many of those mechanics remain mysterious and difficult to study given the massive breadth of microbes in the gut and the limits of computational power.

For players, Borderlands Science appears in the game as a retro arcade cabinet that will pop up soon on Sanctuary III, the game’s central starship. The mini-game itself looks like a colorful, Tetris-like experience, and if players don’t read the fine print they might not even know that they’re mapping microbes. Assuming that Gearbox’s normal ethos is on display here it’s also likely fun and addictive, though we haven’t yet tried it. And of course, players won’t be expected to engage with the project for the good of science alone. The mini-game will offer players special rewards and Vault Hunter skins to collect — a smart and natural way to incentivize players in a game that’s all about the pursuit of loot.

The undertaking is a partnership between researchers at McGill University, the Microsetta Initiative at UC San Diego School of Medicine and Massively Multiplayer Online Science (MMOS), a project connecting video games with vital scientific research.

“We see Borderlands Science as an opportunity to use the enormous popularity of Borderlands 3 to advance social good,” Gearbox Software co-founder Randy Pitchford said of the initiative, calling it a “new nexus between entertainment and health.”

Gaming-focused citizen science is emerging as a fascinating way to pair the gaming community’s natural strengths — sustained focus, patience for repetitive tasks, intensive time commitments — with the needs of scientific researchers. Two prominent examples are EyeWire, which invites players to help map the brain’s neural networks and Foldit, in which users solve puzzles to map complex protein structures believed to have a role in diseases like HIV and Alzheimer’s.

Apart from a handful of exceptions — like EVE Online players mapping exoplanets — these citizen science games are usually browser-based, with more of an edu-science vibe than anything resembling the flashy hit games that drive the industry. Borderlands Science bridges that gap, bringing citizen science into the lucrative, bustling world of triple-A games. And if the model pioneered here goes well, the project could be an excellent example for other publishers and developers looking to weave real scientific good into their games in the future.

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RAD is a new system to help the visually impaired play racing games

 A PhD candidate in Computer Science at Columbia Engineering, Brian A. Smith, created a new system for blind gamers who want to get a little racing in. The system, called racing auditory display or RAD, is truly amazing. It lets the visually impaired play racing games without “seeing” the screen. Instead, the audio output tells the player when they’re getting closer to an edge… Read More

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The director of Baidu’s Silicon Valley AI Lab has departed

 Adam Coates, director of Baidu’s Silicon Valley AI Lab, has left the company. A source confirmed the exit and Coates has updated his LinkedIn reflecting the change. Coates joined the Chinese search giant back in May of 2014 to lead a California-based team of 50 machine learning developers. Baidu has built up an established proficiency in natural language processing. While at Baidu,… Read More

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IBM and MIT pen 10-year, $240M AI research partnership

 IBM and MIT came together today to sign a 10-year, $240 million partnership agreement that establishes the MIT-IBM Watson AI Lab at the prestigious Cambridge, MA academic institution. The lab will be co-chaired by Dario Gil, IBM Research VP of AI and Anantha P. Chandrakasan, dean of MIT’s School of Engineering. Big Blue intends to invest $240 million into the lab where IBM researchers… Read More

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IBM touts improved distributed training time for visual recognition models

 Two months ago, Facebook’s AI Research Lab (FAIR) published some impressive training times for massively distributed visual recognition models. Today IBM is firing back with some numbers of its own. IBM’s research groups says it was able to train ResNet-50 for 1k classes in 50 minutes across 256 GPUs — which is just the polite way of saying “my model trains faster than… Read More

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The Wizards of Armageddon set up shop in Silicon Valley

 The Research and Development Corporation (RAND) has helped the U.S. think through some of the toughest scientific and regulatory challenges since the 1940s. This year, the think tank is opening its first office in the SF Bay Area. It’s positioning itself to weigh in on some of Silicon Valley’s largest research projects, like autonomous vehicles, drones, AI, cybersecurity and… Read More

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