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Archivo del Autor: Belen De Leon

How artificial intelligence will take over the supermarket produce aisles

Artificial intelligence is about more than asking Alexa or Siri to turn on the lights at home and add a reminder to the calendar about getting some milk at the store later in the afternoon.

The true power of AI and machine learning is how it can democratize expertise, lowering the barriers to entry for tasks that once could only be performed by a small group of specialists. The result, one day, will be that your self-driving car drops you off at the supermarket, where you will find higher-quality foods available at prices lower than they’ve ever been.

It will happen through the use of machine learning algorithms that absorb a large volume of data, recognize patterns and apply statistical probabilities to choose the course of action most likely to result in a successful outcome.

For example, Google’s famous self-driving car used machine learning to catalog a number of interesting behaviors on the road. Whenever the car’s sensors recognized a garbage truck ahead, vehicles following behind tended to pull suddenly into the next lane to get around it — usually without signaling. So the Google car stored this pattern of behavior and adapted its position and speed to minimize the possibility that these “unexpected” lane changes would cause a collision.

For humans, this is a common defensive driving skill, but replicating this level of awareness in a machine would have been unthinkable just a few years ago. Now, powerful algorithms can conquer the chaos of streets filled with drivers of all skill levels, including those paying more attention to their phones than the road ahead.

Artificial intelligence and agriculture

As amazing as that may be, the application of machine learning to the living fields of agriculture is an order of magnitude more complex. A road network is fixed, with a map that rarely changes and provides a solid foundation for the algorithm to make its decisions.

No matter how calm and peaceful a wind-swept field of wheat might appear to the casual observer, agricultural fields are truly chaotic places. There’s unpredictable weather, changes in soil quality and the ever-present possibility that pests and disease may pay a visit. Conditions in one part of a field may be totally different from another part. As a result, growers never really know until the last day whether they are going to have a successful harvest or not.

The potential for growth in agricultural AI systems is significant.

Take a seed and plant it in a field in Iowa. Then take the exact same seed and plant it in Brazil. The results will almost certainly not be the same, or, if they are, repeat the experiment again and the odds are that the yield of each will be different. That’s because thousands of interrelated variables are at play, from the amount of nutrients in the soil, to whether it’s sunny or cloudy, to rain levels, temperature, the presence of insects and so on.

That’s where machine learning can reap clarity from the chaos. Remote sensors placed in fields perceive the environment as statistical data. Algorithms process this data, adapting and learning to predict a range of outcomes.

Farmers can use these AI algorithms to make better field decisions that increase the chances of a successful harvest. Breeders also can use AI algorithms to make the plants themselves better. The combination of these uses will ultimately drive lower prices at the supermarket.

The democratization of farming expertise

This is a massive a shift in the way things have always been done in agriculture. Farmers have a proud tradition going back centuries of relying on instinct in growing crops. They have an intuition of what’s best based on long experience. It’s not that farmers didn’t want to use computers, it’s that they haven’t been particularly effective. Early machines, with their binary logic, were not well-suited to highly complex and variable field environments.

So a farm’s productivity often depended on having the most experienced growers on hand. But what if we could change that, and make the best decisions and growing techniques available even to novice farmers? This is particularly important for developing nations that might not have access to highly experienced growers.

The rise of precision agriculture has opened the possibility of spreading the benefit of machine expertise far and wide. Remote sensors, satellites and UAVs can gather information 24 hours a day over an entire field. These can monitor plant health, soil condition, temperature, humidity and so on. The amount of data these sensors can generate is overwhelming, but the algorithms of precision agriculture can process and interpret the data in a useful way.

The next big leap will come from deploying true artificial intelligence algorithms that learn from the data and interpret never-before-seen situations, allowing each harvest to become more and more certain. This will reduce wasted effort and lower the cost of growing, with much of the savings passed on to consumers.

AI builds better plants

Machine learning algorithms can also be applied to the centuries-old process of breeding plant varieties better able to resist drought or insect pressures. Breeders have long used conventional methods of selecting the “best” parent plants to create varieties with a more pleasing appearance, longer shelf life and a superior taste. Because of AI’s application in breeding, stronger plants are more likely to make their way to harvest, and yields will continue to increase.

As with farming techniques, machine learning helps with all aspects of the decision-making process of selecting plants and testing new varieties. Algorithms speed the process so that improvements in plant varieties make their way to the fields and the supermarkets faster than ever. This, again, helps lower costs while improving quality.

The potential for growth in agricultural AI systems is significant, and as the algorithms grow smarter, the benefits will continue to be seen every time you check out at the supermarket.


Source: TechCrunch

Google plans to give your Gmail account a much-needed makeover

In an email sent out to G Suite administrators earlier today, Google announced plans to roll out a fresh new look for Gmail with a host of new features — including a fresh new look for the aging web client.

The post Google plans to give your Gmail account a much-needed makeover appeared first on Digital Trends.


Source: Digital trends

Mark Zuckerberg Is Revealing Facebook’s Terrible Power in Congress

Mark Zuckerberg’s testimony is not just about Cambridge Analytica. He’s answering for the un-checked influence that Facebook wields—on its users, and the world.
Source: Wired

Want to Fight Sea Level Rise? Look to San Francisco’s Ocean Beach

During a big storm, the bluffs along Ocean Beach can lose 25 to 40 feet. Here’s how San Francisco is hedging against sea level rise.
Source: Wired

This Photographer Recreates 'Ghostbusters' and 'Back to the Future' in Miniature

Felix Hernandez builds elaborate sets on which to shoot his painstakingly detailed images.
Source: Wired

Quantum Mechanics Creates a Totally Random Number Generator

A perfectly provable random number generator is the bedrock of good cryptography. This scientist wants to make one.
Source: Wired

Trump signs controversial anti-sex-trafficking bill

A few weeks after passing both the Senate and House with an overwhelming majority, the controversial Allow States and Victims to Fight Online Sex Trafficking Act (FOSTA) has been signed into law.

In spite of only becoming official today, the bill has already begun to have a profound impact around the Web. Craigslist notably shuttered its Personals section here in the U.S., and Reddit adjusted its own rules in an attempt to brace for the coming law.

The Justice Department also began cracking down on sites — late last week, Backpage was seized by the DOJ and its owners were hit with a staggering 93-count indictment that reads like a laundry list of things for which you don’t want to get indicted.

“Trafficking is probably worse today than at any time in our history,” Trump told the press during a signing ceremony today. Ohio Senator Rob Portman, who co-sponsored the bill, sent out a press release stating, “This is a momentous day in the fight to help stop online sex trafficking, and a big victory for trafficking victims and survivors who for too long have been denied the opportunity to get the justice they deserve.”

In spite of overwhelming support from both sides of the aisle, the bill has been a controversial one, both among sex workers and internet rights advocates. In a post from late-February, the Electronic Frontier Foundation called the potential bill “a disaster,” noting that the onus for policing content would fall exclusively in the hands of sites hosting third-party content.

“[The bill] might sound noble, but it would do nothing to stop sex traffickers,” the EFF writes. “What it would do is force online platforms to police their users’ speech more forcefully than ever before, silencing legitimate voices in the process.”

Sex workers have been equally critical of the bill and have called it, “devastating,” both with regards to their livelihood and a fear of increased violence if these sites are shuttered.


Source: TechCrunch

Spotify and Hulu join forces for $13 subscription bundle – CNET

Combining the video- and music-streaming subscriptions will save you five bucks a month.
Source: CNET

Facebook's Mark Zuckerberg feels the burn in Congress hearings – CNET

The CEO sits through hours of questions as senators slam him during the first of two congressional appearances.
Source: CNET

Element wants to give identity to the whole world, raising $12m series A

Who are you? That’s both an existential question, and also a very practical administrative concern. Today, identity is often exchanged through the use of government ID cards and official paperwork, but what happens when someone loses that paperwork or it is destroyed? Or, as is often the case in many countries around the world, a citizen never received the paperwork to begin with?

Element wants to completely change the way banks, hospitals, and other service providers work with their customers by providing a platform for decentralized biometric identity. The company’s software runs on any mobile device, and using the device’s camera, it can identify a user’s face, palm, and fingerprints to create a verified match. Users have options on which modality they want to use.

Biometric identification is a tough machine learning application, so it shouldn’t be surprising that Element, which was formed in 2012, was co-founded by Adam Perold, a Stanford-educated product designer, and Yann LeCun, a famed machine learning researcher. LeCun was the progenitor of convolution neural nets, which today form one of the foundational theories for deep learning AI. He is now chief science advisor for the company, having taken a role as Director of AI Research at Facebook in New York while continuing his professorship at NYU.

Element is announcing a $12 million Series A round, led by PTB Ventures and GDP Ventures, with David Fields of PTB and On Lee of GDP joining the company’s board of directors. Earlier investors of the company included Pandu Sjahrir, Scott Belsky, Box Group, and Recruit Strategic Partners.

While technologies like Apple’s Touch ID and Face ID systems have popularized biometric identity, neither of these were around when Element got started. The early years of the company were devoted to solving critical technical challenges. Wireless connectivity can be limited in many developing countries, which meant that identities had to be local to the device in order to be useful. That also meant that the platform couldn’t be a cloud infrastructure solution, since identity information had to be processed on the device.

Furthermore, given the quality of hardware available, data had to be extremely compressed to be useful, and the machine learning algorithms couldn’t use too much compute power since a low-powered Android device wouldn’t be able to execute an identity match quickly enough to provide a good user experience.

That’s where LeCun’s deep expertise in neural nets, and particularly in areas like optical character recognition, came in handy. The Element team managed to reduce the amount of data required to store the identity of a single person down to about two kilobytes, according to the company.

The next challenge the company faced in building out its platform was security. Identity data, particularly biometrics, is a major security challenge, but it was exacerbated by the fact that devices would often be shared between users. A single device at a bank, for instance, might service thousands of users, all of which need independent, secured data. The company said that these security challenges have been designed into the core of the system.

Ultimately, the company’s platform lives as an SDK behind the mobile apps of its partners. It provides not only the identity layer itself, but also a secure data infrastructure that allows records such as bank accounts and medical files to be connected to the underlying identity.

Element is targeting the developing world, and Perold tole me he spends more than half of his time traveling to Southeast Asia and Africa building partnerships and doing research on how the company’s technology can improve critical social services. Among the company’s signed partnerships is Telekom Indonesia, which as the service provider for 180 million subscribers, is one of the key connections between people and their identity in that fast-growing economy.

Another partnership formed by the company is with the Global Good Fund, a joint venture of the Gates Foundation and Intellectual Ventures. That project works to create better biometric identities for newborns and infants, which is critical for health outcomes. The company is working with icddr,b and the Angkor Hospital for Children in Cambodia to build out the program.

In addition to the lead investors, the company received strategic venture capital investments from Bank BCA (via Central Capital Ventura), Bank BRI, Telkom Indonesia (via MDI Ventures), and Maloekoe Ventures.


Source: TechCrunch

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