Software giant SAP, British AI startup BenevolentAI and the University of Reims Champagne-Ardenne have become Europe's first users of our new NVIDIA DGX-1 AI supercomputer. This "plug and play" system -- loaded with powerful GPUs and special software for deep learning -- has been designed to help data scientists innovate and get to market faster with AI applications. Enterprise software giant SAP is now using DGX-1 AI supercomputers at its German and Israeli offices, where its teams are building machine learning solutions for SAP's 320,000 customers. In the U.K., BenevolentAI will use DGX-1 as part of its effort to accelerate drug discovery by using deep natural language processing, machine learning and artificial intelligence to formulate new, usable knowledge from complex scientific information. "For the current application of our AI technology in the bioscience space, it will mean that new drug discoveries can be made faster and more efficiently than ever before," said BenevolentAI co-founder and Director Ken Mulvany.

Sean Captain 09.29.16 7:30 AM The Terminator isn't arriving anytime soon, but concern is growing that artificial intelligence is already so pervasive in society--and getting more so all the time--that there needs to be more focus on how it's being used and potentially misused (even if by accident). Aside from futuristic killer robots, there are already real dangers ranging from faulty autonomous cars to algorithms used in hiring or recruiting that have an inadvertent bias against women or ... IBM recently released new details about the efficiency of its TrueNorth processors, which sport a fundamentally novel design that cribs from the structure of the brain. Rather than line up billions of digital transistors all in a line, TrueNorth chips have a million computer'neurons' that work in parallel across 256 million inter-neuron connections ('synapses'). In recent months, cancer and artificial intelligence (AI) have long been associated together. Continuously proving its undeniable influence to humanity, it's not quite surprising to learn how machine learning could be of help in the field of precision medicine, particularly in cancer diagnosis and treatment. Microsoft wants to help enterprises make sense of their big data with the help of the software giant's cloud, artificial intelligence and machine learning product portfolio, CEO Satya Nadella said during his keynote presentation at Microsoft Ignite 2016 in Atlanta, Georgia.

It's the dream of many a startup founder: Make something people love and wind up wildly rich, selling the company for billions. But after you do that, what comes next? It could be a sense of hopeless isolation. So says Minecraft founder Markus Persson (aka "Notch") in a strangely revealing series of tweets. Microsoft bought Minecraft for 2.5 billion almost a year ago, and the founder did not join Microsoft after the sale.

This post is by Chirag Dhull, Product Marketing and Hang Zhang, Senior Data Science Manager, at Microsoft. Millions of people suffer from brain-related injuries and disorders every year. Being able to decode human perceptions from brain signals can benefit this population greatly. That's what inspired Stanford University neurosurgeon Dr. Kai Miller to team up with Microsoft to offer the inaugural Cortana Intelligence Competition: Decoding Brain Signals. "The brain is an electrical organ with over 100 trillion synapses, connecting more than 87 billion neurons," explains Dr. Miller.

While many people have prejudices against certain groups, it can often be easy to hide these in public. But a new computer programme may soon be able to reveal these hidden biases. Researchers have created a programme that scrutinises people's body language for signs of racial prejudice. Researchers have created a programme that scrutinises people's body language for signs of racial prejudice. Researchers from the University of Modena and Reggio Emilia in Italy wanted to see if an algorithm could accurately predict if someone was racist.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Google, Facebook, Amazon, IBM and Microsoft are joining forces to create a new AI partnership dedicated to advancing public understanding of the sector, as well as coming up with standards for future researchers to abide by. Going by the unwieldy name of the Partnership on Artificial Intelligence to Benefit People and Society, the alliance isn't a lobbying organisation (at least, it says it "does not intend" to lobby government bodies). Instead, it says it will "conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability and robustness of the technology". There will be equal representation between corporate and non-corporate members on the board of the partnership, and it hopes to invite "academics, non-profits and specialists in policy and ethics" to join. Each of the five founding corporate members has strong AI research teams, some of which have become household names, such as IBM's Watson and Amazon's Alexa.

Artificial intelligence is becoming ubiquitous. As its reach grows and is engrained into consumer products and services, elements of control and regulation are required. Silicon Valley's biggest companies are joining forces to introduce this. Facebook, Google (in the form of DeepMind), Microsoft, IBM, and Amazon have created a partnership to research and collaborate on advancing AI in a responsible way. Each member of the Partnership on AI will contribute financial and research resources.

Machine Learning, driven by the rise of big data and evolving technologies, is emerging as a powerful quantitative investment tool, with financial advisers increasingly recognising the benefits it can bring to investors, according to Man AHL. A recent survey of financial advisers, who attended a series of adviser events held by Man AHL across Australia earlier this month, found that nearly three quarters of advisers (74%) believe Machine Learning, a branch of artificial intelligence, has the potential to change the way we invest in the future. Speaking at the adviser events, Man AHL's Oxford-based Chief Scientist Dr. Anthony Ledford said that Machine Learning has become increasingly important to the alternative investment management industry as it deals with larger and more complex data-sets. "The rise of Machine Learning in quantitative investing is powered by three separate revolutions: the growth in computing power, the explosion of data generation and the maturing of methodologies from statistics, computer science, mathematics and engineering, amongst other disciplines." "As more data become available, sophisticated Machine Learning models enable new patterns to be detected that humans can't easily spot. The technology is a significant area of research focus for Man AHL and we believe our enhanced focus on Machine Learning will be strongly supportive of the evolution of our quantitative investment strategies," Dr. Ledford said.