Optimization for machine learning is essential to ensure that data mining models can learn from training data in order to generalize to future test data. Data mining models can have millions of parameters that depend on the training data and, in general, have no analytic definition. In such cases, effective models with good generalization capabilities can only be found by using optimization strategies. Optimization algorithms come in all shapes and sizes, just like anything in life. Attempting to create a single optimization algorithm for all problems would be as foolhardy as seeking to create a single motor vehicle for all drivers --there is a reason we have semi-trucks, automobiles, motorcycles, etc.

It is not every day you see a runaway robot causing traffic chaos in a city centre - but in one Russian suburb is has happened twice in the last week. The robot, named Promobot, was being put through its paces at a research lab in the city of Perm in central Russia's Perm Krai region. In its first escape, the robot, designed to avoid obstacles and to turn around when it reached a boundary, had been left walking around an outside yard. This is the hilarious moment a runaway robot causes traffic chaos in a city centre. The robot - called Promobot - was being put through its paces at a research lab in the city of Perm in central Russia's Perm Krai region Promobot - short for Promotional Robot - is a unique robot created by Russian scientists and is designed to work in customer relations.

A robot in Russia caused an unusual traffic jam last week after it "escaped" from a research lab, and now, the artificially intelligent bot is making headlines again after it reportedly tried to flee a second time, according to news reports. Engineers at the Russian lab reprogrammed the intelligent machine, dubbed Promobot IR77, after last week's incident, but the robot recently made a second escape attempt, The Mirror reported. Last week, the robot made it approximately 160 feet to the street, before it lost power and "partially paralyzed" traffic. Promobot, the company that designed the robot, announced the escapade in a blog post the next day. The strange escape has drawn skepticism from some who think it was a promotional stunt, but regardless of whether the incident was planned, the designers seem to be capitalizing on all the attention.

Designers of a Russian robot which made a break for it it after researchers left a door open have received pleas not to terminate it. 'Promobot' escaped from a testing facility in the city of Perm in central Russia's Perm Krai region earlier this month, and its designers are considering recycling the robot. But the digital creators have received impassioned pleas from members of the public, begging them not to destroy the unique robot just because of its wanderlust. Promobot (pictured) is due to be decommissioned after repeated escapes from a Russian research lab. But the robot's designers have received pleas from the public asking them not to'kill' the robot Promobot - short for Promotional Robot - is a unique robot created by Russian scientists and is designed to work in customer relations.

Long ago I lived in Santa Cruz, California. Almost every morning I would throw on a wet suit, grab my surfboard out of the garage, and head to the rocky cliffs just a few blocks from my house. I would descend a well-worn path to the ocean below, paddle out to the break, and spend hours surrounded by kelp beds and barking sea lions, catching waves, feeling exhilarated, and floating on my board, a world away from the troubles on land. I have a family now and have lived for years in the generally wave-less realms of New York City. But a few months ago I suddenly felt that old hunger again. I wanted to race out to the garage and grab a board.

A drone successfully delivered medical supplies to the New Jersey coastline straight from the deck of a ship, marking the first ship-to-shore delivery in the US. The flight was designed to test whether drones could be used to carry human medical supplies to and from areas that cannot be access during major storms, earthquakes or other disasters. The test was run by disaster preparedness non-profit Field Innovation Team. Drone-firm Flirtey, which managed the first land-based drone delivery of medical supplies to a rural health clinic in July 2015, flew medical samples to Camp May in partnership with Dr Timothy Amukele, assistant professor of pathology at Johns Hopkins University School of Medicine. While drones have already been muted as one way to deliver goods, such as Amazon's Air Prime drones, Amukele said that biological samples "are not like a shoe or a book, they are pretty fragile items".

Samsung Medison's new ultrasound system quickly screens for abnormalities. Artificial intelligence may be the new face of medical diagnostics. For the first time, a flavor of A.I. called deep learning is being implemented in new ultrasound imaging equipment to aid in breast exams and help patients avoid unnecessary biopsies. A new feature in Samsung Medison's ultrasound system uses a deep-learning algorithm to make recommendations about whether a breast abnormality is benign or cancerous. The "S-Detect for Breast" feature is now included in an upgrade to the company's RS80A ultrasound system and is commercially available in parts of Europe, the Middle East and Korea and is pending FDA approval in the U.S., according to PR manager Doug Kim.

VentureBeat's Bots Channel tracks all the important and interesting news related to the exploding field of bots and messaging. And each week we select the top stories and present them in in our free weekly newsletter, BotBeat. We include news stories by VentureBeat staff, guest articles from leading figures in the bots community and a good number of posts from a wide variety of outlets. You can subscribe to our BotBeat newsletter to receive all this information in your inbox every Thursday. The story most likely to be seen in your social media stream this week may have been this one about a bot that lets you ghost undesirable dates.

CIKM is a top-tier ACM conference in the areas of information retrieval, knowledge management and databases. Since 1992, it has successfully brought together leading researchers and developers from the three communities, with the purpose of identifying challenging problems facing the development of advanced knowledge and information systems, and shaping future research directions through the publication of high quality, applied and theoretical research findings. The infographic below describes India's participation at CIKM 2015. Knowledge Discovery and Data Mining (KDD), a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data. It was held at Sydney, Australia in 2015.

It was April of 2015 and I had just returned to a burning summer in India from my startup stint in London. I wasn't happy with the heat, but I've never been good with adjusting to climate change. But weather had little to do with my decision to sweat in the humidity of Mumbai. I wanted to see how the burst of smartphone adoption had impacted the lives of those traditionally used to a life without dependency on technology. There were quite a few trends that stuck out, but one in particular.