Intel has struck a US$2 billion deal for Israel-based AI firm Habana Labs, a developer of programmable deep learning accelerators for the data center. The acquisition will "turbocharge" Intel's offerings for the data center, it said in a release, "with a high-performance training processor family and a standards-based programming environment to address evolving AI workloads." Navin Shenoy, Executive Vice President and General Manager of the Data Platforms Group at Intel, said; "This acquisition advances our AI strategy, which is to provide customers with solutions to fit every performance need – from the intelligent edge to the data center." Habana will remain an independent business unit and will continue to be led by its current management team, reporting to Intel's Data Platforms Group, home to Intel's broad portfolio of data center-class AI technologies. Intel said it expects the AI chip market to exceed US$25 billion by 2024.

The implications of artificial intelligence will be even more that one can never imagine when applied for veterinary sciences. Fremont, CA: Smart wearables that are increasingly used in the healthcare sector for pet animals can generate a huge amount of data. There raises the potential for artificial intelligence (AI) to utilize the data. This technology employs machine learning algorithms and real-time analysis. There are a number of data analytic tools to analyze and visualize data to find trends and patterns.

As we wind up an eventful year for grantmakers in Australia and New Zealand, we think it's the perfect time to look ahead, with an examination of the strengths and weaknesses of AI-assisted grants and other ways to do better in the latest edition, Also inside: Don't forget that you can tap into our knowledge base of past newsletters, grantmaking tools and resources by visiting www.aigm.com.au. Please note, SmartyGrants readers can become an AIGM member free, for all-areas access. Plus join the AIGM for exclusives, back issues and discounts. The quarterly publication is just one of the benefits of membership of the Australian Institute of Grants Management. Learn more about Grants Management Intelligence and become a member here.

Big data is around us. However, it is common to hear from a lot of data scientists and researchers doing analytics that they need more data. How is that possible, and where does this eagerness to get more data come from? Very often, data scientists need lots of data to train sophisticated machine-learning models. The same applies when using machine-learning algorithms for cybersecurity.

Palo Alto, Calif., April 16, 2019 – Hazelcast, the leading in-memory computing platform company, today announced the general availability of Hazelcast Jet, the only streaming engine with no external system dependencies. The result is the industry's fastest stream processing engine that dramatically simplifies implementation from the smallest to largest deployments. Whether deployed in constrained environments, such as IoT sensors, or cloud-scale applications, Hazelcast Jet ingests, categorizes and processes vast amounts of data with ultra-low latency to support continuous intelligence practices. "SigmaStream specializes in high-frequency data and works with some of the world's largest companies that operate in the most constrained environments. By integrating Hazelcast Jet's high-performance streaming engine with our Hummingbird visualization and processing platform, we process high-frequency data from dozens of channels and address inefficiencies in real-time," said Hari Koduru, CEO of SigmaStream.

The year 2019 seemed to be the year of unpredictability, not the least of which was the seemingly ever-changing foreign trade policy of major world economies. Interestingly, it's that same unpredictable nature of foreign trade policy that serves as a springboard for supply chain predictions for 2020. Here are the top five predictions that will have a major impact on the world's global supply chains. Historically, digital transformation of the supply chain has taken place by targeting various functional silos within their own walls. This approach lacked the ability to evaluate the interconnected nature of supply chain decisions.

With the help of Artificial Intelligence, the Delhi police will counter deepfake videos circulating on the social media, said a Delhi police officer on Wednesday. A senior police officer said that during the investigation, it was found that deepfake videos were posted through social media accounts operating out of Delhi and such videos have fuelled the violence. Fake or morphed videos shared via social media have contributed to the violence in Jamia Nagar. "We are taking the help of cyber experts to detect deepfake videos with the help of Artificial Intelligence. We have come across more than 30 old videos of violence that happened in U.P., Bihar and other parts of the country that were posted as Jamia Millia Islamia incident. These videos are making rounds in the social media," the officer added.

There are only a few ingredients needed for algae to take over: carbon dioxide, light, and water. The ancient microorganism is thriving thanks to record heat waves and fertilizers washed away into nearby waters. But what if a fourth ingredient -- artificial intelligence -- could transform the gooey sludge from a growing pest into a tool to fight climate change? A team of researchers at the AI technology company Hypergiant sees algae as a weapon that can be harnessed for our benefit. They recently built an AI-powered machine, the EOS bioreactor, that takes advantage of algae's ability to capture carbon dioxide through photosynthesis.

Swedish shipping company Stena Line is expanding the reach of artificial intelligence (AI) as a fuel-efficiency and cost-saving tool within the transport group's shipping fleet. Initial pilot tests have produced promising results, indicating that AI/digital technologies have the potential to revolutionise how ships operate. AI-supported automation trials have delivered cost savings and ship operational efficiencies. Stena plans to expand the use of AI to cut fuel costs on its vessels, and digitisation to enhance productivity across the group. There is an appetite for this in the Nordic region.

Washington, DC (CNN Business)The calendar will soon turn to 2020, and you can be forgiven if you're wondering where your self-driving car is. A decade of hype and bold predictions is coming to a quiet end.