A top secret billion-dollar spy satellite plummeted into the Indian Ocean after a SpaceX mission over the weekend, but Elon Musk's company has insisted they are not to blame. The satellite, codenamed Zuma, launched from the Cape Canaveral Air Force Station in Florida Sunday night, but it reportedly failed to remain in orbit, officials said Wednesday. The highly classified satellite launched by ended up plummeting into the Indian Ocean, a U.S. official confirmed to ABC News. A top secret billion-dollar spy satellite plummeted into the Indian Ocean after a botched SpaceX mission over the weekend, but Elon Musk's company has insisted they are not to blame. Lawmakers and congressional staffers from the Senate and the House have been briefed about the botched mission, some of the officials told the Wall Street Journal.

Farmstead, an artificial intelligence (AI)-powered digital "micro-grocer" that sources and delivers fresh food from farm to fridge in one hour, has launched a hub allowing for 30-minute grocery pickup in the San Francisco Bay Area. The new 30-minute Express Pickup service hubs, strategically located in San Francisco and San Mateo, are intended to put the San Francisco-based startup on par with the largest incumbent players in the rapidly expanding online grocery delivery market, many of which don't yet offer online ordering and pickup in the area. Groceries are ready for pickup within 30 minutes of placing an online order, and arriving customers simply tap an "I'm here" button on their phone to signal a Farmstead employee to place a custom-packed order in their car. The new service is Farmstead's latest step toward working to transform the way the grocery industry sources and distributes food from farms to customers. The startup, which first presented its plan to shake up the grocery industry in early October, uses AI technology to calculate and predict returning shoppers' habits and know exactly how much food to order from local sources daily, weekly, seasonally and annually, thus reducing food waste.

Dawit Haile fought against the odds when he decided to study computer science in Eritrea, East Africa, despite having no internet connectivity. His perseverance paid off, first landing a job with the Eritrean government department of education, and later as an engineer in Lithuania. Today, Dawit is a data scientist in the San Francisco Bay Area, and he credits this new job to the knowledge and experience he gained from fast.ai. On the side, he's building an algorithm to translate between English and his native language of Tigrinya. Dawit is just one of many impressive fast.ai

SpaceX has defended its rocket performance during the weekend launch of a secret U.S. satellite, amid reports that the secret satellite codenamed Zuma was lost. Company President Gwynne Shotwell said the Falcon 9 rocket'did everything correctly' Sunday night and suggestions otherwise are'categorically false.' Northrop Grumman -- which provided the satellite for an undisclosed U.S. government entity -- said it cannot comment on classified missions. The company chose SpaceX as the launch provider, noting late last year that it took'great care to ensure the most affordable and lowest risk scenario for Zuma.' The name refers to a Malibu beach in Southern California. This was SpaceX' s third classified mission for the U.S. government, a lucrative customer.

One of the biggest mysteries among people working on salmon recovery in Puget Sound and the Salish Sea is what happens to juvenile fish once they head for the ocean. Survival rates of Chinook, Coho and Steelhead have all declined since the 1980s, but resource managers don't know why. A new grant from Microsoft is using artificial intelligence to greatly improve the computer models used to tackle the question. A collaborative effort called the Salish Sea Marine Survival Project has been around for nearly a decade. It unites the work of 60 different scientific and non-profit entities, all trying to understand what is preventing salmon and steelhead from coming home.

It is a unique view of our planet from a spacecraft speeding to a rendezvous with an asteroid. NASA's OSIRIS-REx spacecraft took this incredible image of home from 3 million miles (5 million kilometers) from Earth, about 13 times the distance between the Earth and Moon. Asteroid Bennu, a carbon-rich hunk of rock that might contain organic materials or molecular precursors to life. Three images (different color wavelengths) were combined and color-corrected to make the composite, and the Moon was'stretched' (brightened) to make it more easily visible. The Origins, Spectral Interpretation, Resource Identification, and Security–Regolith Explorer--is to map and return samples. It is also an asteroid that could someday make a close pass or even a collision with Earth, though not for several centuries.

Four Harvard Law students have their heads in the cloud--and they think the rest of the legal profession should join them. With their powerful new search engine called Evisort that harnesses cloud storage and artificial intelligence, they hope to revolutionize the costly and labor-intensive way that lawyers currently handle contracts and other transactional work, liberating them for more creative and interesting tasks. Developed by the students over the past two years, Evisort is "like Google for legal contracts," says Jerry Ting '18, co-founder and CEO, who came up with the idea as an undergraduate. While artificial intelligence is the cutting-edge of automating labor-intensive tasks such as document review, it hasn't yet been widely applied to contracts. Evisort jumps into that gap by enabling lawyers to quickly sort through thousands of contracts and other documents to unlock key insights for transactional work.

Deep learning can automatically select the features For a simple machine learning, a human has to tell the algorithm which combination of features to consider Deep learning finds the relationships on its own No human involvement Artificial Intelligence Types 43. "Ultra Deep Learning" Machine has learned so much, it can not only derive the rules, but detect when the rules change: detect the change in paradigms. Combines the supervised, un-supervised types and rule based machine learning into a more intelligent system.

Neural network, a computer program that operates in a manner inspired by the natural neural network in the brain. The objective of such artificial neural networks is to perform such cognitive functions as problem solving and machine learning. The theoretical basis of neural networks was developed in 1943 by the neurophysiologist Warren McCulloch of the University of Illinois and the mathematician Walter Pitts of the University of Chicago. In 1954 Belmont Farley and Wesley Clark of the Massachusetts Institute of Technology succeeded in running the first simple neural network. The primary appeal of neural networks is their ability to emulate the brain's pattern-recognition skills. Among commercial applications of this ability, neural networks have been used to make investment decisions, recognize handwriting, and even detect bombs.

Rarely does a day go by without more news predicting the end of work. After all, autonomous vehicles are all but certain to replace truckers and taxi drivers in the coming decades, and robots have already taken over many jobs in factories and warehouses, and will continue to expand their reach beyond heavy industry as they become smarter and ever more affordable. Perhaps most frighteningly, even professional services no longer seem safe from the encroachment of increasingly sophisticated artificial intelligence (AI). Law firms, for example, employ electronic-discovery software, which uses natural language processing to sift through reams of documents faster and more cheaply than the entry-level lawyers who used to do this tedious work. Deep-learning image recognition tools can flag and classify worrisome tumors in digital scans as well as, or better than, experienced radiologists.