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Google wants to make “good” AI with your help

Google office in Zurich [Credit: Google]

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As a company with a global presence to the tune of at least a billion people, Google is taking both its immense tech capabilities and social responsibility role very seriously. Namely, it has pledged to provide tangible support to organizations wanting to help address societal challenges using artificial intelligence through its just announced “AI Impact Challenge”. Whether an idea needs coaching, grant funding from a pool of $25 million available, or credit and consulting from cloud services, Google will be there to help.

Towards this effort, the company has already provided an educational guide to machine learning, the primary tool it wants organizations to utilize in its problem-solving. It might seem counterintuitive for a proposer to need training on the very thing it’s proposing, but this is part of the point of Google’s support. To quote Google’s project page directly, “We want people from as many backgrounds as possible to surface problems that AI can help solve, and to be empowered to create solutions themselves…We don’t expect applicants to be AI experts.” Submissions are open until January 22, 2019, and winners will be announced in spring 2019.

Need inspiration for an idea? Or, perhaps, some examples of the kinds of problems that artificial intelligence can help solve? Google’s page dedicated to its “AI for social good” mission has featured projects that are already working towards societally beneficial goals. Here’s a breakdown of some of them:

  • The “Smart Wildfire Sensor” is a device that identifies and predicts areas in a forest that are susceptible to wildfires. To do this, it uses data from tools measuring wind speed, wind direction, humidity, and temperature combined with Google’s open source machine learning tool TensorFlow for photographic analysis of biomass (accumulated fallen branches and trees).
  • Protecting whales from preventable accidents such as entanglement in fishing gear and collisions with vessels is a challenge being addressed using whale songs and machine learning to locate where they’re singing from. The National Oceanic and Atmospheric Administration (NOAA) uses underwater audio recordings to identify and mitigate the presence of dangers in the estimated areas where whales are present. The thousands of hours of recordings accumulated presented a data challenge well suited to Google’s existing sound classification AI to help meet NOAA’s needs with conservation efforts.
  • As a top cause of infant mortality in the world, birth asphyxia is a serious threat needing all the tools available to new parents. Using machine learning trained to recognize the cries of a newborn with this condition, the company Ubenwa has developed a mobile app enabling a recording of a baby’s cry to be uploaded and diagnosed.

“With great power comes great responsibility” is a familiar motto that applies to the state of modern tech just as much as superheroes. For example, the fast-paced field of artificial intelligence brings frequent developments that challenge our security as a society, thus needing caution. However, the massive companies driving the primary innovations being used among the public on a grand scale are one of the larger demonstrations of this where this motto really applies in today’s world.

Google sharply felt the weight of its responsibility recently when its role in assisting the US Department of Defense to analyze drone footage (Project Maven) was revealed. The “Don’t be evil” part of the company’s Code of Conduct at the time appeared to be violated through the military assistance, and renewal of the contract has since been canceled. Google’s further work on its Chinese search engine with censorship in accordance with the communist government’s requirements has also drawn protest from both inside and outside the company. Given this background, a new project focused on doing “good” things for the benefit of society might be seen as possible damage control. The timing might be suspect, but it’s worth noting that, as seen in the projects described above, Google has been working to help with societal needs for quite some time already.

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Overall, headlines in recent years have demonstrated just how flexible AI can be when it comes to solving challenges that face our world. While the fears brought on by future “intelligent” computers may have a foundation in reality, it may do us a great amount of good to turn our focus on the hope such technology can also bring. Whatever Google’s motivation is for launching its “AI for social good project”, if good is achieved, it may just be a win for us all.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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How much of SpaceX will Elon Musk own after IPO will surprise you

SpaceX’s IPO filing confirms Musk will maintain his voting power to make key decisions for the company.

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Rendering of Elon Musk overlooking a Starship fleet (Credit: Grok)

Elon Musk will retain dominant voting control of SpaceX after it goes public, according to the company’s IPO prospectus that was filed with the SEC. The filing reveals a dual-class equity structure giving Class B shareholders 10 votes each, concentrating power with Musk and a handful of other insiders, while Class A shares sold to public investors carry one vote.

Musk holds approximately 42% of SpaceX’s equity and controls roughly 79% of its votes through super-voting shares. He will simultaneously serve as CEO, CTO, and chairman of the nine-member board after the listing. Beyond that, the filing includes provisions that may limit shareholders’ influence over board elections and legal actions, forcing disputes into arbitration and restricting where they can be brought.

The case for Musk holding this level of control is grounded in SpaceX’s actual history. The company’s most important bets, from reusable rockets to a global satellite internet constellation, were decisions that ran against conventional aerospace thinking and would likely have faced resistance from a board accountable to investor gains. Fully reusable rockets were considered economically irrational by established industry players for years. Starlink, which now generates over $4 billion in annual operating profit, was widely dismissed as financially unviable when it was proposed. The argument for concentrated founder control seems straightforward, and the decisions that built SpaceX into what it is today required someone willing to ignore consensus and absorb years of losses.

SpaceX files confidentially for IPO that will rewrite the record books

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For context, Musk’s position is significantly more dominant than Zuckerberg’s at Meta. The comparison with Tesla is also worth noting. When Tesla did its IPO in 2010, it did not issue dual-class shares. Musk has only recently pushed for enhanced voting protection, proposing at least 25% control at Tesla in 2024 after selling shares to fund his Twitter acquisition left him with around 13%.

SpaceX has clearly learned from that experience and structured the IPO differently by planning to allocate up to 30% of shares to retail investors, roughly three times the typical norm for a large offering. The roadshow is expected to begin the week of June 8, with a Nasdaq listing rumored to be a $1.75 trillion valuation and a $75 billion raise.

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Tesla bolsters App with new safety, insurance, and storage features

The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.

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Credit: Tesla

Tesla is bolstering its smartphone App with a series of new features to streamline operations for owners. The new additions include fixes to safety, its in-house insurance offering, and storage management for Dashcam clips.

The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.

But in classic Tesla fashion, the company is aiming to improve the offerings of the app, and it is doing so with a handful of new features. They were first discovered by Tesla App Updates.

Tesla Insurance – Safety Score 3.0

This is truly part of the Spring 2026 Update, but Tesla has now given more transparency on how FSD has saved people money on their premiums.

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Tesla intertwines FSD with in-house Insurance for attractive incentive

Additionally, Tesla is now automatically awarding a Safety Score of 100 for every mile traveled on Full Self-Driving (Supervised).

Update Tracking

Updates traditionally appear on the App or on the Center Touchscreen in the car. There is nothing better than seeing that Green Arrow at the top of the screen, or opening your app and seeing that there is a Software Update available.

Now, there will be no need to manually check the app and initiate the download. Tesla is enabling a new feature that will automatically download updates for you.

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Storage Management

Your USB drive can now be remotely formatted, and old Dashcam clips can be deleted straight from the phone. When you record a lot of things using the Dashcam feature, that storage fills up pretty quickly.

Now, manually deleting the Dashcam videos is easier than ever.

Trailer Light Test

This is perhaps the coolest and most crucial addition to the Tesla App, as those who tow and haul will now be able to trigger a diagnostic light sequence from the app while standing behind your trailer to ensure the brake lights work.

Verifying your trailer lights are connected properly and operating normally and as intended is normally a massive hassle.

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Now, a new trigger will be available to initiate a diagnostic light sequence directly from your phone.

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Tesla is building private Superchargers just for Robotaxi

For Tesla, these Robotaxi-only Superchargers represent more than convenient parking spots. They are the first bricks in a vertically integrated autonomy platform—vehicles, energy, and software working in seamless concert. 

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Credit: Tesla

Tesla is starting to build out Robotaxi-only Superchargers as the company is truly leaning on its Full Self-Driving and autonomy efforts to solve passenger travel.

Last week, the company filed pre-permits in Arizona’s East Valley for two dedicated, non-public charging sites stocked with next-generation V4 Superchargers. The filings mark the first visible evidence of purpose-built infrastructure exclusively for autonomous Tesla vehicles, as they state they are not for public use.

In Chandler, Tesla plans to install 56 V4 stalls on an industrial parcel along South Roosevelt Avenue. Site documents describe a high-capacity setup supported by new SRP transformers, switching cabinets, and upgrades to existing underground lines.

A second site in Mesa, located at 5349 E Main Street in another industrial zone, carries the same private-use designation. Both locations sit well away from public roads and customer traffic, ensuring the chargers serve only Tesla’s internal fleet.

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The sites were spotted by Supercharger observer MarcoRP.

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Phoenix’s East Valley offers an ideal launchpad for Robotaxi Supercharging: the location has a clean, grid-like street layout and year-round mild weather that minimizes camera degradation. Additionally, Arizona has welcomed self-driving pilots since Waymo’s early days.

By securing private depots now, Tesla can optimize charging cycles, reduce downtime, and maintain full control over vehicle hygiene and security, critical factors for high-utilization Robotaxi operations.

The type of Supercharger is telling as well, as they are V4, Tesla’s fastest and most efficient buildout.

V4 stalls deliver faster power and support bidirectional charging, features that will let idle Robotaxis feed energy back to the grid during off-peak hours. Because the sites are closed to the public, Tesla avoids congestion, vandalism risks, and the scheduling conflicts that plague shared stations.

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The timing is telling. With unsupervised Full Self-Driving hardware already rolling out across the lineup and Cybercab production targets looming, Tesla is shifting from vehicle development to ecosystem readiness.

Charging infrastructure has historically been the gating factor for ride-hailing scale; building it ahead of the vehicles signals confidence that regulatory and technical hurdles are nearing resolution.

Tesla has been spotted testing Cybercab units in Arizona over the past few months, as well.

Interestingly, the permits show V4 Superchargers in the plans, although Cybercab will likely utilize wireless charging:

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Tesla Cybercab spotted with interesting charging solution, stimulating discussion

For Tesla, these Robotaxi-only Superchargers represent more than convenient parking spots. They are the first bricks in a vertically integrated autonomy platform—vehicles, energy, and software working in seamless concert.

It appears Tesla is preparing to begin building out Robotaxi-only Superchargers to avoid the congestion and keep its autonomous fleet charged up to get ride-hailers to their destinations.

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