An international effort to promote ethical AI development is gaining momentum with the launch of an online forum where participants can contribute to a United Nations’ effort to global standards for developing ethical AI applications. The U.N. Education, Scientific and Cultural Organization (UNESCO) is debating draft recommendations on AI ethics that will be submitted for ...Full article
British hardware designer Graphcore, which emerged from stealth in 2016 to launch its first-generation Intelligence Processing Unit (IPU), has announced its next-generation IPU platform: the IPU-Machine M2000. With the new M2000, Graphcore promises “greater processing power, more memory and built-in scalability for handling extremely large machine intelligence workloads.” The platform – which is available to ...Full article
As more companies roll out digital infrastructure, they are ingesting greater volumes of data that can be used by business analysts to gauge customer intent and boost transactions. Complexity and lack of data scientists have made that transition harder for mid-size firms looking to monetize “dark” data. Machine learning vendors are therefore automating key aspects ...Full article
As enterprise software architectures evolve beyond monolithic applications to delivering micro-services, debugging tools like distributed tracing are emerging to detect cyberattacks against one of the foundations of cloud-native deployments: APIs. With attacks proliferating on the hundreds of APIs used to build individual enterprise applications, AI and distributed tracing tools are being used to monitor micro-services. ...Full article
If you’re in the market for analytics or machine learning software, you may want to keep your eyes on Altair Engineering. Best known for its product simulation and computer aided engineering software, Altair has quietly assembled an impressive big data platform that extends from data preparation and business intelligence to streaming analytics and AutoML. Altair ...Full article
Medical applications for AI and machine learning have so far yielded mixed results. While proving useful in areas like medical imaging, where tools can help reduce confirmation bias, the technology has fallen short in other applications like drug discovery. “Clinical-grade” computational pathology, an emerging approach that combines multiple data sources and models to generate diagnostic ...Full article
Across the world, measures like social distancing and mask-wearing continue to be encouraged in efforts to stem the spread of COVID-19. Individuals’ actual, real-world behavior, however, varies wildly from region to region, and rates of COVID-19 infection have fluctuated accordingly. Now, researchers from Purdue University are using footage from public cameras around the world to ...Full article
Software-defined storage and virtualized servers have become key building blocks of hyperconverged IT infrastructure running on commodity equipment. VMware (NYSE: VMW) and its majority shareholder, Dell Technologies (NYSE: DELL), are among the leaders in the emerging HCI sector, with other infrastructure and networking vendors challenging for a piece of an $11 billion market that is ...Full article
A design kit tailored to PCI Express 4.0 data fabrics combines orchestration software from infrastructure platform vendor Liqid and silicon switch giant Broadcom. The goal is accelerating application prototyping, testing and development that would expand enterprise adoption of higher-bandwidth PCIe connectivity in datacenters and hybrid clouds. The reference design kit released this week is aimed ...Full article
A new contest is challenging the computing world. Xilinx has announced the first Xilinx Adaptive Computing Challenge, a competition that will task developers and startups with finding creative workload acceleration solutions. Xilinx is running the Adaptive Computing Challenge in partnership with Hackster.io, a developer community oriented around learning, programming and building hardware. The developer segment ...Full article
The innovation engine that is Kubernetes is prompting infrastructure vendors to open their wallets to acquire developers whose platforms are based on the open source cluster orchestrator. Suse, the open source cloud infrastructure specialist, is the latest, moving to boost its enterprise Kubernetes management portfolio with the acquisition of Rancher Labs. Terms of the acquisition ...Full article
The Kubernetes ecosystem continues to expand with the adoption of a traffic manager for easing access to the orchestrator’s application services. The control plane called Contour was contributed to the Cloud Native Computing Foundation by VMware, which acquired the technology when it bought Kubernetes pioneer Heptio in 2018. CNCF said this week that Contour has ...Full article
In this monthly feature we bring you up to date on the latest career developments in the enterprise AI community -- promotions, new hires and accolades: Dan Fairfax StorCentric appointed Dan Fairfax to its board of advisors. Fairfax has held executive roles at Brocade Communications Systems. He also serves on the board of directors at ...Full article
On the heels of the Nvidia’s Ampere A100 GPU launch in May, Google Cloud is announcing alpha availability of the A100 “Accelerator Optimized” VM A2 instance family on Google Compute Engine. The instances are powered by the HGX A100 16-GPU platform, which combines two HGX A100 8-GPU baseboards using an NVSwitch interconnect. The new instance ...Full article
On Monday (July 6), Penguin Computing, a subsidiary of SMART Global Holdings, Inc., introduced a new Tundra server, Tundra AP, that is the first to implement the Intel Xeon Scalable 9200 series processors (codenamed Cascade Lake-AP) in the Open Compute Project (OCP) form factor. With support for the 32-, 48- or 56-core 9200-series processors, the ...Full article
As data science platforms expand across enterprise applications like predictive analytics, automated machine learning vendors are steadily integrating AI models with emerging infrastructure to ease deployment and orchestration. For example, data science automation specialist dotData this week released a container-based machine learning model aimed at real-time prediction. Applications include automated loan processing, dynamic pricing, fraud ...Full article
Autonomous vehicles are developed with a wide range of self-driving capabilities. Some vehicles provide basic automation, like cruise control and blind-spot detection, while other vehicles are reaching fully-autonomous capabilities. Many of these capabilities are being made possible by AI technology. However, before talking about big scale deployments for smart city transportation, more work is needed ...Full article
The urgency of 5G wireless rollouts has diminished among executives in a monthly survey of global business conditions as enterprises shift their pandemic recovery focus to more pressing matters like securing virtual workforces and ensuring data privacy. The Economist Intelligence Unit’s monthly Global Business Barometer released this week finds that nearly 42 percent of executives ...Full article
According to Microsoft, one particular type of project accounts for close to one quarter of all global IoT initiatives: smart-city projects. In a 451 Research report from February 2020, analyst Johan Vermij notes that escalating interest in smart cities has led to the current situation, in which smart cities now comprise 23 percent of IoT ...Full article
Machine learning algorithms trained on large data sets have proven useful for spotting past patterns. Examples include stable environments like image databases or board games. When it comes to messy, real-world data, however, those same ML algorithms often fall short, critics say, rigid and unable to adapt. “Machine learning algorithms perform remarkably poorly on time-series ...Full article
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Alex WoodieEditorial Director
Jaime HamptonManaging Editor
Ali AzharContributing Editor
Drew JollyContributing Editor
