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Startup Funding: September 2022

#artificialintelligence

The onshoring and buildout of dozens of fabs, many costing tens of billions of dollars, is beginning to spill over into other areas that are critical for chip manufacturing. Materials, in particular, which often gets little attention outside of chip manufacturing, witnessed a big spike in September 2022. In fact, seven materials companies covered in this report made up more than a third of the month's total reported investments, with three of the companies garnering more than $200 million. Other investment targets were sputtering equipment and evaporation materials for deposition, high-purity polycrystalline silicon, fluorine-containing electronic gases, and silicon carbide. In the AI hardware arena, numerous startups are focusing on in-memory and near-memory compute, reducing the volume of data that needs to be moved back and forth between memory and processing elements. Novel architectures also are appearing, such as one that uses sparse mathematics.


Google Home can now use Nest speakers to detect your presence

Engadget

Google Home no longer needs to lean solely on smart home devices like thermostats to know whether or not you're around. Home's optional presence sensing feature can now use interactions with Nest speakers and smart displays to help detect activity in your abode, letting it perform automated actions. If you talk to your Nest Audio or tap your Nest Hub, for instance, Google may know to turn the lights on. Second-gen Nest Hubs can also use their Soli radar sensor to tell when you're close. You can enable presence sensing in the Google Home app for Android and iOS by visiting the Features section in the settings.


Technical Perspective: Traffic Classification in the Era of Deep Learning

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Network traffic classification is a fundamental problem in networking. Given observations of network traffic, the goal is to infer properties of interest, such as what application generated the traffic. This enables network operators to monitor and optimize performance, detect anomalies or malware, block unwanted traffic, inform capacity planning, and so on. The problem has been extensively studied for more than 20 years, using a combination of heuristics, based on domain expertise, and automated methodologies. Some techniques rely on hard-coded rules, such as the use of well-known ports or servers. For example, a DNS request, the HTTP Host field, or the SNI field in TLS, may all reveal the name of the server contacted (for example, server.netflix.com),


The top 20 industrial technology trends – as showcased at Hannover Messe 2022

#artificialintelligence

Hannover Messe (or Hannover Fair), the #1 global industrial tradeshow, was back in action earlier this month. The event that took place from 30 May–02 June 2022, in Hannover, Germany, showcased once again the latest developments and industrial technology trends. Despite a much smaller crowd (75,000 visitors--roughly 40% of pre-pandemic levels), the fairgrounds were buzzing and filled with senior executives from many of the leading industrial hardware, software, and service providers. The conference remains one of those rare fairs where you randomly walk into senior executives, like a Head of Engineering for a major industrial conglomerate, and not only into the pre-sales representatives giving you the usual pitch. "In the face of disrupted supply chains, rising energy prices, inflation, and climate change, it was all the more important to meet face-to-face again in the exhibition halls after two years marked by a pandemic, to take in the latest technology trends and get a window to the future."


iiot ai_2021-05-28_03-17-11.xlsx

#artificialintelligence

The graph represents a network of 1,148 Twitter users whose tweets in the requested range contained "iiot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 28 May 2021 at 10:22 UTC. The requested start date was Friday, 28 May 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 1-hour, 36-minute period from Tuesday, 25 May 2021 at 22:22 UTC to Thursday, 27 May 2021 at 23:58 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


iiot ai_2022-06-03_03-34-51.xlsx

#artificialintelligence

The graph represents a network of 1,617 Twitter users whose tweets in the requested range contained "iiot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 June 2022 at 10:40 UTC. The requested start date was Friday, 03 June 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 6-hour, 42-minute period from Tuesday, 31 May 2022 at 17:17 UTC to Friday, 03 June 2022 at 00:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


iot ai_2022-08-17_04-20-01.xlsx

#artificialintelligence

The graph represents a network of 2,070 Twitter users whose tweets in the requested range contained "iot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 August 2022 at 11:27 UTC. The requested start date was Wednesday, 17 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 1-day, 18-hour, 9-minute period from Monday, 15 August 2022 at 05:51 UTC to Wednesday, 17 August 2022 at 00:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


How The IoT Is Disrupting Digital Marketing

#artificialintelligence

What is the Internet of Things(IoT)? So how does the Internet of Things disrupt digital marketing? Digital technology has blurred the line between online and offline life. From wearable technology that tracks health conditions around the clock, to watching favorite entertainment programs on the way to and from get off work, and remote access to electrical equipment at home. The shift to mobile devices has changed the way we interact with the world around us.


When SDN and Blockchain Shake Hands

Communications of the ACM

The nature of BC can be utilized to tackle the problem of single point of failure, and to ensure the consistency of global view among cross-domain controllers in a decentralized manner. In this section, we propose BC-Sec-SDN, a hierarchical architecture that adopts BC to fulfill the requirements of fault-tolerant, decentralized, and secure SDN based on consortium BC approach. In BC-Sec-SDN each SDN domain is managed by an SDN controller. Unlike the previously discussed approaches, our architecture decouples SDN control plane into two separate control layers namely reactive and proactive layers. The reactive control layer consists of SDN controllers that receive Packet-In messages from SDN's data plane and prepare proposals of BC transactions and smart contracts accordingly.


'Ask all the time: why do I need this?' How to stop your vacuum from spying on you

The Guardian

This month, Amazon inked a deal to acquire smart vacuum company iRobot – the makers of Roomba – for a tidy US$1.7bn. As some see it, if the purchase goes through, that should worry us. "It's all about the data," says David Vaile from the Australian Privacy Foundation. Privacy advocates such as Vaile are concerned the robot vacuum cleaner will give Amazon access to floor plans of users' homes, using mapping features some iRobot products already offer. Amazon are yet to release details about what existing and future iRobot data will be used for; and the company told Reuters that they safeguard customer privacy and do not sell their data.