If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The new platform uses artificial intelligence to help drive the transition from traditional marketing creative to digital-first, mobile video marketing for businesses of all sizes. Magisto for Marketers introduces Intelligent Marketing creative into Magisto's patented artificial intelligence engine – Emotional Sense Technology . Magisto's new offering allows marketers to create multiple variations of optimized videos by use case, platform, audience, message, product and ROI performance. The AI technology incorporates easy-to-use editing styles designed for businesses, the ability to add custom branding to clone videos and to direct Magisto's AI to refine messaging and produce multiple A/B test creatives.
Attending a talk hosted by Mike Schroepfer – Facebook's CTO – I was not only astounded by how blissfully ignorant I was to the level of tech advancement our species has acquired, but the level of advancement we will acquire in 10 years' time. In his talk, Mike delivered three subgroups to Facebooks 10-year plan – Connectivity, Artificial Intelligence and Virtual Reality. Moving on to AI, as mentioned earlier, we have seen an increase in computing power by a factor of 10 million in the last two decades, this along with the world's data increasing two-fold year on year. AI and Deep data are set to change the pace of technology development forever.
The social network has acquired FacioMetrics, a Carnegie Mellon University spinoff that developed a few face detection apps, including one that can recognize seven different emotions in human faces. We began our research at Carnegie Mellon University developing state-of-the-art computer vision and machine learning algorithms for facial image analysis. Now, we're taking a big step forward by joining the team at Facebook, where we'll be able to advance our work at an incredible scale, reaching people from across the globe. We are thrilled for our next big step forward by joining Facebook.
This jointly optimized platform runs the new Microsoft Cognitive Toolkit (formerly CNTK) on NVIDIA GPUs, including the NVIDIA DGX-1 supercomputer, which uses Pascal architecture GPUs with NVLink interconnect technology, and on Azure N-Series virtual machines, currently in preview. Faster performance: When compared to running on CPUs, the GPU-accelerated Cognitive Toolkit performs deep learning training and inference much faster on NVIDIA GPUs available in Azure N-Series servers and on premises. Faster performance: When compared to running on CPUs, the GPU-accelerated Cognitive Toolkit performs deep learning training and inference much faster on NVIDIA GPUs available in Azure N-Series servers and on premises. Certain statements in this press release including, but not limited to the impact and benefits of NVIDIA's and Microsoft's AI acceleration collaboration, Tesla GPUs, DGX-1, the Pascal architecture, NVLink interconnect technology and the Microsoft Cognitive Toolkit; the availability of Azure N-Series virtual machines; and the continuation of NVIDIA's and Microsoft's collaboration are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations.
SANTA CLARA, CA--(Marketwired - Nov 14, 2016) - NVIDIA (NASDAQ: NVDA) today announced that it is teaming up with the National Cancer Institute, the U.S. Department of Energy (DOE) and several national laboratories on an initiative to accelerate cancer research. Teams collaborating on CANDLE include researchers at the National Cancer Institute (NCI), Frederick National Laboratory for Cancer Research and DOE, as well as at Argonne, Oak Ridge, Livermore and Los Alamos National Laboratories. Georgia Tourassi, Director of the Health Data Sciences Institute at Oak Ridge National Laboratory, said, "Today cancer surveillance relies on manual analysis of clinical reports to extract important biomarkers of cancer progression and outcomes. Certain statements in this press release including, but not limited to, statements regarding the impact, benefits and goals of the Cancer Moonshot, the CANDLE AI framework, the combination of NVLink-enabled Pascal GPU architectures, and NVIDIA DGX-1; NVIDIA's participation in CANDLE; AI and deep learning techniques being essential to achieve the Cancer Moonshot objectives; expected gains in training neural networks for cancer research; large-scale data analytics and deep learning being central to Lawrence Livermore National Laboratory's missions; NVIDIA being at the forefront of accelerated machine learning; and CORAL/Sierra architectures being critical to developing scalable deep learning algorithms are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations.
After releasing its popular new Pixel smartphone and seeing its shares of shares him more than 800 this month, Google parent company Alphabet Inc. (GOOGL) is expected to reveal steady growth in its third quarter earnings on Thursday. Investors surveyed by FactSet expected the company's C class (GOOG) earnings per share (EPS) to grow slightly to 8.63 from 8.42 in the second quarter and 7.35 for the third quarter of 2015. Citing growth in YouTube's popularity and mobile use of its search engine, Alphabet beat analysts' expectations with its second quarter earnings release in July, with C class earnings per share (EPS) of 8.42 on revenues of 21.5 billion over forecasts 8.04 per share on 20.76 billion. Pinchai pointed to last quarter's growth in the Android operating system.
Bangalore-based startup Chatimity is the latest in a series of acquisitions made by customer engagement software provider Freshdesk in a little over a year. Chatimity, founded in May 2011 by former Google Music Search employees Tarkeshwar Thakur and Aravind Murthy, uses artificial intelligence (AI) and chatbot technology to enable user interaction and engagement. The aim of this acquisition was to strengthen Freshdesk's real-time chat support capabilities through co-browsing technology, which enables help desk agents to see a customer's screen and interact with it in real-time to resolve issues. This is compared to roughly 34,000 developers making bots on Facebook messenger.
A few hours ago, we released a thought-provoking new research report that demonstrates how Artificial Intelligence can double economic growth rates in 12 countries by 2035, and this was part of my presentation today. Through this work we've helped identify deforestation and growth patterns, and identify areas and species where planting seedlings to reforest is not effective. And what used to take two people four days - canvassing 25 hectacres and assessing 35,000 trees - now can be done more comprehensively by our AI engine in 5 minutes, covering 175 hectacres and 250,000 trees, and identifying the most efficient and effective ways to support new forest growth in a record amount of time. So how do we fuel new economic growth rates and create new business value?
The Partnership on Artificial Intelligence to Benefit People and Society is being formed byAmazon, Facebook, Google, IBM, and Microsoft, each of which will have a representative on the group's 10-member board. In the past five years, technological progress and optimism about AI has been exploding, in part due to breakthroughs in a subfield known as deep learning--or, more properly, deep neural networks. It appears to be aimed, at least in part, at dispelling and defusing public concerns about artificial intelligence, a phrase that often inspires both rational and irrational fears. LeCun, the director of Facebook's AI research and its representative on the new partnership's board, is a pioneer in the field of deep learning.
Apple has acquired a Hyderabad-based machine learning startup Tuplejump to strengthen its expertise in artificial intelligence, reports TechCrunch. Tuplejump was founded in 2013 by Rohit Rai, Satyaprakash Buddhavarapu and Deepak Alur and helps companies to store, process and visualise big data. Tuplejump's website has now shut down and founders Rohit Rai and Satyaprakash Buddhavarapu have joined Apple, as indicated by their LinkedIn profiles. This deal comes a month after Apple acquired another machine learning company Turi.