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) …
Microsoft announced today that its Visual Studio integrated development environment is getting a new set of tools aimed at easing the process of building AI systems. Visual Studio Tools for AI is a package that's designed to provide developers with built-in support for creating applications with a wide variety of machine learning frameworks, like Caffe2, TensorFlow, CNTK, and MXNet. Once users have coded up models inside Visual Studio, the AI tools make it easier for them to send that code off to Microsoft's Azure cloud platform for training and deployment. Launching these tools brings a host of advanced capabilities to developers in a point-and-click format that would have previously required the use of a command line interface. It should make building AI systems more accessible for a class of developers that haven't been able to use Visual Studio's rich development environment to its full potential for that purpose.
Cloudera, Inc. (NYSE: CLDR), the modern platform for machine learning and analytics, optimized for the cloud, announced that Komatsu, a leading global heavy equipment manufacturer, has implemented a cloud-based Industrial Internet of Things (IIoT) analytics platform powered by Cloudera Enterprise and Microsoft Azure. The platform enables Komatsu teams to help mining customers around the world continuously monitor the performance of some of the largest equipment used in surface and underground mining, increase asset utilization and productivity, and deliver essential resources including energy and industrial minerals for the global economy. Komatsu's JoySmart Solutions is an IIoT-based service that helps customers optimize machine performance using machine data and analytics. The JoySmart platform ingests, stores and processes a wide variety of data collected from mining equipment operating around the globe, often at very remote locations in harsh conditions. Types of equipment monitored includes longwall mining systems, electric rope shovels, continuous miners and wheel loaders.
The 22nd International Cloud Expo 1st DXWorld Expo has announced that its Call for Papers is open. Cloud Expo DXWorld Expo, to be held June 5-7, 2018, at the Javits Center in New York, NY, brings together Cloud Computing, Digital Transformation, Big Data, Internet of Things, DevOps, Machine Learning and WebRTC to one location. CloudExpo DXWorldEXPO have announced the conference tracks for Cloud Expo 2018, introducing DXWorldEXPO. DXWordEXPO, colocated with Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DXWorld Expo within the program.
The FCC granted Alphabet's Project Loon, which delivers internet via balloons, an experimental license last month to help get Puerto Ricans online after Hurricane Maria decimated the island's infrastructure. While the team cautiously tweeted that it would'explore of it was possible to help,' Project Loon announced today that it has worked with AT&T and T-Mobile to successfully deliver basic internet to over 100,000 Puerto Ricans to the internet. Since turning on service, #ProjectLoon has delivered basic internet connectivity to more than 100K people in Puerto Rico. It's not a total success, which isn't to be expected after Puerto Ricans' communications infrastructure suffered so much damage. But the team was able to work with AT&T and T-Mobile to get "communication and internet activities like sending text messages and accessing information online for some people with LTE enabled phones," head of Project Loon Alastair Westgarth wrote in a blog post.
High-performance graphics chip pioneer NVidia reported better than expected fiscal Q3 earnings after the market close on Thursday. NVidia raised the dividend 7 percent to 15 cents a share and intends to return $1.25 billion to shareholders during the next fiscal year. NVidia consistently trumps analysts' expectations and comes just after Sony and gaming stocks Take Two Interactive $TTWO and Activision Blizzard $ATVI delivered strong earnings. NVIDA chips, graphics processors are gaming industry standouts for personal computers and video game consoles. Earnings: EPS $1.33 way ahead of analysts expected EPS of 94 cents on Revenue of $2.64 Billio beats expected 18% revenue growth to $2.36 billion.. "We had a great quarter across all of our growth drivers.
Xero has announced positive earnings before interest, tax, depreciation, and amortisation (EBITDA) for the first time in its history, reporting NZ$5.4 million for the six-month period ending on September 30, 2017. EBITDA in the previous corresponding period was minus NZ$25.9 million, marking a 121 percent improvement. The Australian Securities Exchange (ASX)-listed cloud accounting software company also reported an improved after-tax loss of NZ$21.1 million for H1 FY18, compared to the loss of NZ$43.9 million reported in the previous half-year period. Operating cashflow increased 145 percent on the half from minus NZ$13.4 million to NZ$6.1 million, while operating revenue increased 37 percent from NZ$137 million to NZ$188 million. Subscription revenue accounted for a majority of Xero's operating revenue, as usual, coming in at NZ$183 million, up 38 percent from the NZ$133 million reported in H1 FY16.
Aquant, a New York City-based tech company, announced it has secured $2.6 million in seed funding from World Trade Ventures, SilverTech Ventures, AngeList Syndicate led by Gil Dibner, and a group of private investors in order to expand their customer base and accelerate development of the technology's abilities. Aquant, a rising name in the tech business ecosystem, has developed sophisticated AI and machine learning technology to addresses the multi-billion-dollar problem of machinery downtime that troubles service companies. The unique aspect of Aquant's technology is its ability to locate potential failures at levels that are difficult to be predicted by humans. Companies in the service industry have gotten used to paying a fortune on a yearly basis on machinery downtime and recurring technicians' visits, due to lack of technicians' skills and wrong stocking of parts. Aquant provides service companies with a permanent solution for this problem.
HPE Rapid Software Installation for AI: HPE introduced an integrated hardware and software solution, purpose-built for high performance computing and deep learning applications. Based on the HPE Apollo 6500 system in collaboration with Bright Computing to enable rapid deep learning application development, this solution includes pre-configured deep learning software frameworks, libraries, automated software updates and cluster management optimized for deep learning and supports NVIDIA Tesla V100 GPUs. HPE Deep Learning Cookbook: Built by the AI Research team at Hewlett Packard Labs, the deep learning cookbook is a set of tools to guide customers in selecting the best hardware and software environment for different deep learning tasks. These tools help enterprises estimate performance of various hardware platforms, characterize the most popular deep learning frameworks, and select the ideal hardware and software stacks to fit their individual needs. The Deep Learning Cookbook can also be used to validate the performance and tune the configuration of already purchased hardware and software stacks.
BROOKLYN, N.Y.--(BUSINESS WIRE)--Pienso, the leading machine learning platform for non-programmers, today announces the close of a $2.1 million seed round. Led by Eniac Ventures, with participation from SoftTech VC, Indicator Ventures, and E14 Fund, Pienso is focused on democratizing machine learning for domain experts who are non-programmers with no technical or data scientist experience. The funding allows the company to scale operations. "Investment by large enterprises in machine learning is rapidly accelerating as corporations spin up massive data lakes to garner insights into their business. However, it is costly, challenging to integrate and before now required data scientists on staff," said Vic Singh, general partner at Eniac.