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Here’s Why AI Can’t Solve Everything

The hysteria about the future of artificial intelligence (AI) is everywhere. There seems to be no shortage of sensationalist news about how AI could cure diseases, accelerate human innovation and improve human creativity.

Just looking at the media headlines, you might think that we are already living in a future where AI has infiltrated every aspect of society.

While it is undeniable that AI has opened up a wealth of promising opportunities, it has also led to the emergence of a mindset that can be best described as “AI solutionism”. This is the philosophy that, given enough data, machine learning algorithms can solve all of humanity’s problems.

Hello World Canada: The Rise of AI

Bloomberg Businessweek presents an exclusive premiere of the latest episode of “Hello World,” the tech-travel show hosted by journalist and best-selling author Ashlee Vance and watched by millions of people around the globe. There’s an AI revolution sweeping across the world. Yet few people know the real story about where this technology came from and why it suddenly took off. In this ground-breaking episode of “Hello World,” the story of AI’s rise is told in detail for the first time, as journalist Ashlee Vance heads to the unexpected birthplace of the technology, Canada. (Source: Bloomberg)

How to Overhaul Your Business to Take Advantage of the Internet of Things

If you’re not learning, you’re missing out on earnings.

It’s easy to write off the Internet of Things (IoT) as a great technology solution looking for a problem; yet another acronym clogging up the hype cycle.

High-performance organizations, however, see IoT very differently. For them, IoT is already on the front line, where data and machine learning combine to power them exponentially ahead. When these organizations look at IoT, they don’t see a new technology to connect things. Instead, they see a business decision—and a better way to inform it.

PRESS RELEASE: Tactical Robotics’ Cormorant Achieves IDF Mission Demo Milestone

On May 7th, Tactical Robotics (a subsidiary of Urban Aeronautics Ltd), based in Yavne. Israel, successfully performed a first “mission representative” demonstration for its lead customer, the Israel Defence Forces. This milestone was announced for the first time today at the Israel Combat Rescue and Emergency Medicine conference where the company also presented Cormorant’s capability to be the first UAS system fielded for unmanned casualty evacuation missions.

#5 Transhumanism, Artificial Intelligence, and Universal Basic Income with Zoltan Istvan

A new podcast I did that talks about #transhmanism:


Zoltan Istvan is a transhumanist, futurist, author, and journalist. He’s a former reporter for National Geographic, ran for president in 2016, and is running for governor of California in 2018 under the libertarian party. In this episode we got into what transhumanism is, what his policy platforms are, and tackled a lot of the questions people generally have around these topics. Enjoy!

Follow Zoltan at @ zoltan_istvan on Twitter.

Weed-killing robots are threatening giant chemical companies’ business models

But if robots kill weeds, who will spray Roundup on everything.


AI-powered weed hunters could soon reduce the need for herbicides and genetically modified crops.

How it’s done now: Current farming methods involve spraying large amounts of indiscriminate weed killer over fields full of crops that have been genetically tweaked (usually by the same company that makes the weed killer) to resist the chemicals. The pesticide and seed industry is enormous, worth $100 billion globally. Of that, herbicide sales alone account for $26 billion.

The future: Robots like the one created by ecoRobotix (shown above) will be able to roll through fields, using computer vision to target and spray individual weeds as they go. EcoRobotix claims its robo-brigade will decrease total herbicide use by a factor of 20. You might even be able to get a smaller Roomba-esque version for your home garden.

Self-Driving Cars Have a Big Problem: Americans Don’t Trust Them

Self-driving cars have plenty of benefits — but the American public still doesn’t trust them. A report from the American Automobile Association released Tuesday shows that 73 percent of drivers would be too afraid to ride in a self-driving car, a marked jump from the 63 percent reported late last year, with millennial distrust jumping from 49 percent to 64 percent over the same period.

The results of the survey come despite autonomous-vehicle makers reporting strong signs of progress. Waymo, which started life as Google’s self-driving car project, announced in March that it’s accumulated over 5 billion miles in virtual driving and 5 million miles in real-world driving, after opening its autonomous minivan service to the public last year. Tesla CEO Elon Musk, who said in February he’s “pretty excited about how much progress we’re making on the neural net front,” has predicted autonomous driving for existing vehicles could surface in a matter of months. Companies like Aurora are predicting their systems could hit the markets in 2021.

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