Lifeboat Foundation

Not sure that I would claim 2016 as the year that AI exploded; I believe a better term for 2016 is the year that AI reinvented itself. I still see us in an evolution trend in 2017 as we still need to see more AI technology embedded in our back office platforms and apps than where we are today to claim we’re in a real AI explosion. Once we start seeing more IT organizations and CxOs embracing it in lowering their operational costs then we can claim we’re in an explosion.

Artificial intelligence isn’t a new concept. It is something that companies and businesses have been trying to implement (and something that society has feared) for decades. However, with all the recent advancements to democratize artificial intelligence and use it for good, almost every company started to turn to this technology and technique in 2016.

The year started with Facebook’s CEO Mark Zuckerberg announcing his plan to build an artificially intelligent assistant to do everything from adjusting the temperature in his house to checking up on his baby girl. He worked throughout the year to bring his plan to life, with an update in August that stated he was almost ready to show off his AI to the world.

Continue reading “2016: The year artificial intelligence exploded” »

Hmmm.

Technological and human rights implications for the world

China adopted the highly controversial cyber security law on 7th November 2016. The legislation which will take effect in June 2017 was passed by its largely rubber – stamp parliament emphasizing the ‘objective need’ of China as a major internet power. The stated objective of the law is to counter the growing threats such as hacking and terrorism. Overseas critics of the law are not amused as it has already triggered concerns among foreign business and rights groups that the law threatens to shut foreign technology companies out of various sectors which China deems as ‘critical’. The legislation also incorporates contentious requirements for security reviews and for data to be stored on servers in China.

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Summary:

• Clinical trial failure rates for small molecules in oncology exceed 94% for molecules previously tested in animals and the costs to bring a new drug to market exceed $2.5 billion
• There are around 2,000 drugs approved for therapeutic use by the regulators with very few providing complete cures
• Advances in deep learning demonstrated superhuman accuracy in many areas and are expected to transform industries, where large amounts of training data is available
• Generative Adversarial Networks (GANs), a new technology introduced in 2014 represent the “cutting edge” in artificial intelligence, where new images, videos and voice can be produced by the deep neural networks on demand
• Here for the first time we demonstrate the application of Generative Adversarial Autoencoders (AAEs), a new type of GAN, for generation of molecular fingerprints of molecules that kill cancer cells at specific concentrations
• This work is the proof of concept, which opens the door for the cornucopia of meaningful molecular leads created according to the given criteria
• The study was published in Oncotarget and the open-access manuscript is available in the Advance Open Publications section
• Authors speculate that in 2017 the conservative pharmaceutical industry will experience a transformation similar to the automotive industry with deep learned drug discovery pipelines integrated into the many business processes
• The extension of this work will be presented at the “4th Annual R&D Data Intelligence Leaders Forum” in Basel, Switzerland, Jan 24-26th, 2017

Thursday, 22nd of December Baltimore, MD — Scientists at the Pharmaceutical Artificial Intelligence (pharma. AI) group of Insilico Medicine, Inc, today announced the publication of a seminal paper demonstrating the application of generative adversarial autoencoders (AAEs) to generating new molecular fingerprints on demand. The study was published in Oncotarget on 22nd of December, 2016. The study represents the proof of concept for applying Generative Adversarial Networks (GANs) to drug discovery. The authors significantly extended this model to generate new leads according to multiple requested characteristics and plan to launch a comprehensive GAN-based drug discovery engine producing promising therapeutic treatments to significantly accelerate pharmaceutical R&D and improve the success rates in clinical trials.

Definitely; why we been telling businesses the importance of BMI for their environments.

A site dedicated to the sciences, recent scientific discoveries and advances.

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Is there something your small business could do to impart a little magic onto the world? Using your problem solving skills may help you do just that.

Artificial intelligence (AI) technology has the potential to boost productivity but increase wealth inequality and wipe out millions of jobs, a research report by the White House claimed on Tuesday. With an increasing number of industries set to be affected by automation technology in the coming years, jobs could be displaced — a fear that has been voiced by academics and business leaders. Auto companies are developing driverless cars, and factories are seeing an increased use of robotics.

Because AI is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of AI will be felt unevenly through the economy. Some tasks will be more easily automated than others, and some jobs will be affected more than others — both negatively and positively.

Researchers around the world have given varying estimates about the size of potential job losses. One recent estimate by Forrester suggests 6 percent of jobs in the next five years could be wiped out thanks to AI. The White House report cites a 2013 study from Oxford University suggesting that 47 percent of U.S. jobs are at risk because of AI. The report suggests that lower-skilled and less-educated workers could feel the heat the most. Overall, the White House report advocates a three-pronged approach to preparing for a future remade by AI that includes investing in AI for its benefits, training Americans for the jobs of the future and helping workers make the transition to new positions.

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JAXA has signed a memo of understanding with iSpace to create moon mining industry.

Sorry this story moves me.

A Muslim businessman has erected the tallest Christmas tree in Baghdad as a show of solidarity with Christians during the holiday season.

Yassir Saad told The Associated Press on Thursday that the initiative aims at “joining our Christian brothers in their holiday celebrations and helping Iraqis forget their anguish, especially the war in Mosul,” where Iraqi forces are battling the Islamic State group.

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QC and Formula 1 another opportunity and believer.

In the latest of our occasional series of interviews with interesting players behind the scenes in Formula 1 we meet a Russian scientist, who is keeping the Toro Rosso safe from cyber attacks and who has big plans for using quantum computers to create new F1 materials.

Acronis is a data support and protection business that was founded in 2003. It reportedly has five million personal consumers and 500,000 businesses using its technology in over 145 countries and offers services such as cloud security, data back up and recovery support.

Continue reading “Insight: Toro Rosso backer says F1 teams should pay more attention to cyber attacks // F1 News // James Allen on F1 – The official James Allen website on F1” »