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Smart cat flap temporarily locks your kitty out if it detects it's holding prey

Daily Mail - Science & tech

While our cats may just think we are terrible, hairless hunters, their'gifts' of a chewed up mouse are not always welcome. To help prevent this messy occurrence, an entrepreneur has created a smart cat flap that will lock your kitty out the house temporarily while they are holding their prey. Martin Rosinski, 37, was sick of being woken by his adorable serial killer Jinx, who would drag in rodents at night and meow loudly to alert her sleeping owners. In June 2021, the app technical director modified his microchip cat flap by installing a camera and artificial intelligence (AI) technology that detects the presence of prey. If prey is recognised, the cat flap is temporarily locked and a notification is sent to the owner's phone along with a video of the attempted entry.


Businesses including Stitch Fix are already experimenting with DALL-E 2 – TechCrunch

#artificialintelligence

It's been just a few weeks since OpenAI began allowing customers to commercially use images created by DALL-E 2, its remarkably powerful AI text-to-image system. But in spite of the current technical limitations and lack of volume licensing, not to mention API, some pioneers say they're already testing the system for various business use cases -- awaiting the day when DALL-E 2 becomes stable enough to deploy into production. Stitch Fix, the online service that uses recommendation algorithms to personalize apparel, says it has experimented with DALL-2 to visualize its products based on specific characteristics like color, fabric and style. For example, if a Stitch Fix customer asked for a "high-rise, red, stretchy, skinny jean" during the pilot, DALL-E 2 was tapped to generate images of that item, which a stylist could use to match with a similar product in Stitch Fix's inventory. "DALL-E 2 helps us surface the most informative characteristics of a product in a visual way, ultimately helping stylists find the perfect item that matches what a client has requested in their written feedback," a spokesperson told TechCrunch via email.


Applications for Behavioral Analytics in Zero-Trust Security Models

#artificialintelligence

When zero trust is all about identity, behavioral analytics allows organizations to establish a baseline of "normal" user actions, such as logging in from a particular IP address, using a specific device or logging in every day during a similar timeframe. Anything that deviates from this baseline can result in an anomaly -- for example, logging in from a different country at a different time than usual. Continuous monitoring during the detect stage can flag potential threats and allow for prompt investigation. Behavioral analytics help to identify unusual patterns of activity that may be happening on the organization's network or within its cloud applications. The ability to detect and respond to these types of threats as they surface is critical in ensuring a zero-trust environment, and these behavioral analytics can help to detect outside threats from bad actors as well as inside threats from disgruntled employees or compromised accounts.


National AI Research Resource must balance the value of its data with privacy

#artificialintelligence

The task force developing recommendations on a National Artificial Intelligence Research Resource must balance the need to provide valuable data with the increased risk it could be used to triangulate personally identifiable information, given the large number of parties expected to have access, experts say. Task force members want to include startups and small businesses developing privacy technologies among NAIRR's users, but exactly how resources, capabilities and policies would be integrated continues to be discussed, according to co-chair Manish Parashar. Members previously stated that U.S.-based researchers and students -- primarily in academia but also with companies that have received federal grants like Small Business Innovation Research or Small Business Technology Transfer funding -- are target users of the NAIRR. Privacy technologies they're developing could help the resource protect personally identifiable information (PII). "Yes, the task force is certainly discussing how privacy-enabling technologies could help enhance the privacy aspects of NAIRR usage," Parashar told FedScoop.


La veille de la cybersécurité

#artificialintelligence

Communication software platform maker Arena – a provider of a Slack-like chat or bot conversation column to the right side of your screen when you're on an ecommerce site – is endeavoring to bring more human understanding to online marketing and sales. That, in turn, works to establish better rapport with potential customers for ecommerce businesses. The San Francisco-based startup's group chat and messaging application framework for B2C enterprises, having earned the attention of investors, yesterday announced a $13.6 million Series A round led by CRV with Craft Ventures, Artisanal Ventures and Vela Partners also participating. A key marketing trend in 2022 is for consumer companies to find ways to move beyond social media and third-party cookies as a way of gaining better direct insights into their users and customers. Five-year-old Arena recognized this early and built a SaaS platform to replace the need for third-party referrals and social networks, CEO and founder Paolo Martins told VentureBeat.


Conversational data platform taps AI for sentiment analysis

#artificialintelligence

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. Communication software platform maker Arena – a provider of a Slack-like chat or bot conversation column to the right side of your screen when you're on an ecommerce site – is endeavoring to bring more human understanding to online marketing and sales. That, in turn, works to establish better rapport with potential customers for ecommerce businesses. The San Francisco-based startup's group chat and messaging application framework for B2C enterprises, having earned the attention of investors, yesterday announced a $13.6 million Series A round led by CRV with Craft Ventures, Artisanal Ventures and Vela Partners also participating. A key marketing trend in 2022 is for consumer companies to find ways to move beyond social media and third-party cookies as a way of gaining better direct insights into their users and customers.


Hidetaka Miyazaki Sees Death as a Feature, Not a Bug

The New Yorker

A film's themes, or its plot, can be misconstrued by a lazy viewer. Only a video game, however, can punish an audience's faults. If a player mistimes a jump, falls to an adversary, or fails to reach the end of a level, a game can deny them access to the rest of the work, halting progress until they pass the test or resign in defeat. The video-game director Hidetaka Miyazaki, who's in his late forties, has punished more players than perhaps anyone else. In Dark Souls, the 2011 fantasy game that made him famous, you play as a loin-clothed wretch, racing through sewers and cowering in forests.


Deakin University Welcomes New Avalon Facility

#artificialintelligence

Deakin University says it welcomes the announcement from Hanwha Defense Australia, and the Australian Government, that its new armoured vehicle centre of excellence will be constructed at Avalon Airport. Deakin Vice-Chancellor Professor Iain Martin said the Geelong-based centre would cement the University's close connection with Hanwha, facilitating investment in local research expertise and the development of high-tech jobs. It's expected the new bespoke production facility will create a minimum of 300 jobs, spread across construction, acquisition and maintenance, as well as generating ongoing support opportunities for Australian industry until the late 2040s. Deakin and Hanwha Defense Australia signed a Memorandum of Understanding (MoU) last year, an agreement to drive collaboration in modelling and simulation, machine learning applications and human performance. "Deakin and Hanwha share a common goal in the development of emerging technologies and advanced manufacturing, with a focus on growing the local economy through education and employment opportunities," Professor Martin said.


George R.R. Martin Helped Make One of the Best Video Games in Years

Slate

Slate has relationships with various online retailers. If you buy something through our links, Slate may earn an affiliate commission. We update links when possible, but note that deals can expire and all prices are subject to change. All prices were up to date at the time of publication. Thirty hours into the game, I've already explored ruins, spelunked caverns, raided catacombs, stormed castles, slayed a dragon, and looted countless corpses--but I still barely know why.


Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation

Journal of Artificial Intelligence Research

From the perspective of a dialog system, it is important to identify the intention behind the segments in a dialog, since it provides an important cue regarding the information that is present in the segments and how they should be interpreted. ISO 24617-2, the standard for dialog act annotation, defines a hierarchically organized set of general-purpose communicative functions which correspond to different intentions that are relevant in the context of a dialog. We explore the automatic recognition of these communicative functions in the DialogBank, which is a reference set of dialogs annotated according to this standard. To do so, we propose adaptations of existing approaches to flat dialog act recognition that allow them to deal with the hierarchical classification problem. More specifically, we propose the use of an end-to-end hierarchical network with cascading outputs and maximum a posteriori path estimation to predict the communicative function at each level of the hierarchy, preserve the dependencies between the functions in the path, and decide at which level to stop. Furthermore, since the amount of dialogs in the DialogBank is small, we rely on transfer learning processes to reduce overfitting and improve performance. The results of our experiments show that our approach outperforms both a flat one and hierarchical approaches based on multiple classifiers and that each of its components plays an important role towards the recognition of general-purpose communicative functions.