Podcasts about vqa

This episode of The Food Professor Podcast brings together global trade drama and local wine opportunity. In the opening news segment, Michael and Sylvain react to the latest trade bombshell from Donald Trump: sweeping new tariffs aimed at dozens of countries, with Canada & Mexico left off—for now. They dig into how this could reshape the Canadian food sector, focusing on dairy and the persistent challenges of supply management. Sylvain calls out the inefficiencies of Canada's quota system and urges a national strategy, comparing our lack of vision to New Zealand's Fonterra success. The conversation also covers the real reasons behind “Buy Canadian” sentiment—whether driven by tariffs or values—and highlights the implications of avian flu outbreaks on Canadian poultry supplies.In the second half, Michael and Sylvain welcome Michelle Wasylyshen, President and CEO of Ontario Craft Wineries. With a public affairs background spanning government, industry, and advocacy, Michelle brings a sharp perspective on the role of VQA (Vintners Quality Alliance) wines in the current climate. She explains how VQA signifies wines that are 100% Ontario-grown, produced, and bottled, and why that matters for consumers and the local economy.Michelle details how the removal of U.S. wines from LCBO shelves has created a rare and significant opening for Ontario wine producers. Early data already shows a 30% jump in VQA sales, with some members seeing growth as high as 70–80%. Her team is capitalizing with cheeky, targeted campaigns like “Screw the Tariffs, Pop the Cork,” and partnering with groups like Restaurants Canada and Canadian Manufacturers & Exporters to amplify the message.She also addresses a long-standing pain point: interprovincial trade. Michelle shares the absurd reality that it's currently easier to sell Ontario wine to Sweden or Denmark than to Quebec. She expresses cautious optimism that the current tariff climate might finally create the political will to tear down these barriers.On the topic of consumption trends, Michelle acknowledges the growing “sober-curious” movement but remains confident that Ontario wines, especially given their quality and local value, remain a compelling choice. She concludes with policy priorities including sustained shelf presence at the LCBO, education on VQA labels, and increasing restaurant availability of local wines.The episode wraps with lighter banter on the possible revival of Hooters and a shoutout to Quebec-based food brand Mid-Day Squares, capping off a wide-ranging conversation rooted in both disruption and opportunity. The Food Professor #podcast is presented by Caddle. About UsDr. Sylvain Charlebois is a Professor in food distribution and policy in the Faculties of Management and Agriculture at Dalhousie University in Halifax. He is also the Senior Director of the Agri-food Analytics Lab, also located at Dalhousie University. Before joining Dalhousie, he was affiliated with the University of Guelph's Arrell Food Institute, which he co-founded. Known as “The Food Professor”, his current research interest lies in the broad area of food distribution, security and safety. Google Scholar ranks him as one of the world's most cited scholars in food supply chain management, food value chains and traceability.He has authored five books on global food systems, his most recent one published in 2017 by Wiley-Blackwell entitled “Food Safety, Risk Intelligence and Benchmarking”. He has also published over 500 peer-reviewed journal articles in several academic publications. Furthermore, his research has been featured in several newspapers and media groups, including The Lancet, The Economist, the New York Times, the Boston Globe, the Wall Street Journal, Washington Post, BBC, NBC, ABC, Fox News, Foreign Affairs, the Globe & Mail, the National Post and the Toronto Star.Dr. Charlebois sits on a few company boards, and supports many organizations as a special advisor, including some publicly traded companies. Charlebois is also a member of the Scientific Council of the Business Scientific Institute, based in Luxemburg. Dr. Charlebois is a member of the Global Food Traceability Centre's Advisory Board based in Washington DC, and a member of the National Scientific Committee of the Canadian Food Inspection Agency (CFIA) in Ottawa. Michael LeBlanc is the president and founder of M.E. LeBlanc & Company Inc, a senior retail advisor, keynote speaker and now, media entrepreneur. He has been on the front lines of retail industry change for his entire career. Michael has delivered keynotes, hosted fire-side discussions and participated worldwide in thought leadership panels, most recently on the main stage in Toronto at Retail Council of Canada's Retail Marketing conference with leaders from Walmart & Google. He brings 25+ years of brand/retail/marketing & eCommerce leadership experience with Levi's, Black & Decker, Hudson's Bay, CanWest Media, Pandora Jewellery, The Shopping Channel and Retail Council of Canada to his advisory, speaking and media practice.Michael produces and hosts a network of leading retail trade podcasts, including the award-winning No.1 independent retail industry podcast in America, Remarkable Retail with his partner, Dallas-based best-selling author Steve Dennis; Canada's top retail industry podcast The Voice of Retail and Canada's top food industry and one of the top Canadian-produced management independent podcasts in the country, The Food Professor with Dr. Sylvain Charlebois from Dalhousie University in Halifax.Rethink Retail has recognized Michael as one of the top global retail experts for the fourth year in a row, Thinkers 360 has named him on of the Top 50 global thought leaders in retail, RTIH has named him a top 100 global though leader in retail technology and Coresight Research has named Michael a Retail AI Influencer. If you are a BBQ fan, you can tune into Michael's cooking show, Last Request BBQ, on YouTube, Instagram, X and yes, TikTok.Michael is available for keynote presentations helping retailers, brands and retail industry insiders explaining the current state and future of the retail industry in North America and around the world.

The free livestreams for AI Engineer Summit are now up! Please hit the bell to help us appease the algo gods. We're also announcing a special Online Track later today.Today's Deep Research episode is our last in our series of AIE Summit preview podcasts - thanks for following along with our OpenAI, Portkey, Pydantic, Bee, and Bret Taylor episodes, and we hope you enjoy the Summit! Catch you on livestream.Everybody's going deep now. Deep Work. Deep Learning. DeepMind. If 2025 is the Year of Agents, then the 2020s are the Decade of Deep.While “LLM-powered Search” is as old as Perplexity and SearchGPT, and open source projects like GPTResearcher and clones like OpenDeepResearch exist, the difference with “Deep Research” products is they are both “agentic” (loosely meaning that an LLM decides the next step in a workflow, usually involving tools) and bundling custom-tuned frontier models (custom tuned o3 and Gemini 1.5 Flash).The reception to OpenAI's Deep Research agent has been nothing short of breathless:"Deep Research is the best public-facing AI product Google has ever released. It's like having a college-educated researcher in your pocket." - Jason Calacanis“I have had [Deep Research] write a number of ten-page papers for me, each of them outstanding. I think of the quality as comparable to having a good PhD-level research assistant, and sending that person away with a task for a week or two, or maybe more. Except Deep Research does the work in five or six minutes.” - Tyler Cowen“Deep Research is one of the best bargains in technology.” - Ben Thompson“my very approximate vibe is that it can do a single-digit percentage of all economically valuable tasks in the world, which is a wild milestone.” - sama“Using Deep Research over the past few weeks has been my own personal AGI moment. It takes 10 mins to generate accurate and thorough competitive and market research (with sources) that previously used to take me at least 3 hours.” - OAI employee“It's like a bazooka for the curious mind” - Dan Shipper“Deep research can be seen as a new interface for the internet, in addition to being an incredible agent… This paradigm will be so powerful that in the future, navigating the internet manually via a browser will be "old-school", like performing arithmetic calculations by hand.” - Jason Wei“One notable characteristic of Deep Research is its extreme patience. I think this is rapidly approaching “superhuman patience”. One realization working on this project was that intelligence and patience go really well together.” - HyungWon“I asked it to write a reference Interaction Calculus evaluator in Haskell. A few exchanges later, it gave me a complete file, including a parser, an evaluator, O(1) interactions and everything. The file compiled, and worked on my test inputs. There are some minor issues, but it is mostly correct. So, in about 30 minutes, o3 performed a job that would take me a day or so.” - Victor Taelin“Can confirm OpenAI Deep Research is quite strong. In a few minutes it did what used to take a dozen hours. The implications to knowledge work is going to be quite profound when you just ask an AI Agent to perform full tasks for you and come back with a finished result.” - Aaron Levie“Deep Research is genuinely useful” - Gary MarcusWith the advent of “Deep Research” agents, we are now routinely asking models to go through 100+ websites and generate in-depth reports on any topic. The Deep Research revolution has hit the AI scene in the last 2 weeks: * Dec 11th: Gemini Deep Research (today's guest!) rolls out with Gemini Advanced* Feb 2nd: OpenAI releases Deep Research* Feb 3rd: a dozen “Open Deep Research” clones launch* Feb 5th: Gemini 2.0 Flash GA* Feb 15th: Perplexity launches Deep Research * Feb 17th: xAI launches Deep SearchIn today's episode, we welcome Aarush Selvan and Mukund Sridhar, the lead PM and tech lead for Gemini Deep Research, the originators of the entire category. We asked detailed questions from inspiration to implementation, why they had to finetune a special model for it instead of using the standard Gemini model, how to run evals for them, and how to think about the distribution of use cases. (We also have an upcoming Gemini 2 episode with our returning first guest Logan Kilpatrick so stay tuned

In this episode of The Cognitive Revolution, Nathan hosts Will Hardman, founder of AI advisory firm Veritai, for a comprehensive technical survey of vision language models (VLMs). We explore the evolution of VLMs from early vision transformers to state-of-the-art architectures like InternVL and Llama3V, examining key innovations and architectural decisions. Join us for an in-depth discussion covering multimodality in AI systems, evaluation frameworks, and practical applications with one of the field's leading experts. Here's to the link to one of the most comprehensive reference documents for VLMs prepared by Will Hardman: https://dust-mailbox-c73.notion.site/Vision-Language-Models-11b675d75dd480af994cc474a754bb26 Help shape our show by taking our quick listener survey at https://bit.ly/TurpentinePulse SPONSORS: Oracle Cloud Infrastructure (OCI): Oracle's next-generation cloud platform delivers blazing-fast AI and ML performance with 50% less for compute and 80% less for outbound networking compared to other cloud providers. OCI powers industry leaders like Vodafone and Thomson Reuters with secure infrastructure and application development capabilities. New U.S. customers can get their cloud bill cut in half by switching to OCI before March 31, 2024 at https://oracle.com/cognitive 80,000 Hours: 80,000 Hours is dedicated to helping you find a fulfilling career that makes a difference. With nearly a decade of research, they offer in-depth material on AI risks, AI policy, and AI safety research. Explore their articles, career reviews, and a podcast featuring experts like Anthropic CEO Dario Amodei. Everything is free, including their Career Guide. Visit https://80000hours.org/cognitiverevolution to start making a meaningful impact today. CHAPTERS: (00:00:00) Teaser (00:00:55) About the Episode (00:05:45) Introduction (00:09:16) VLM Use Cases (00:13:47) Vision Transformers (Part 1) (00:17:48) Sponsors: Oracle Cloud Infrastructure (OCI) (00:19:00) Vision Transformers (Part 2) (00:24:58) OpenAI's CLIP Model (00:33:44) DeepMind's Flamingo (Part 1) (00:33:44) Sponsors: 80,000 Hours (00:35:17) DeepMind's Flamingo (Part 2) (00:48:29) Instruction Tuning with LAVA (01:09:25) MMMU Benchmark (01:14:42) Pre-training with QNVL (01:32:13) InternVL Model Series (01:52:33) Cross-Attention vs. Self-Attention (02:14:33) Hybrid Architectures (02:31:08) Early vs. Late Fusion (02:34:50) VQA and DocVQA Benchmarks (02:40:08) The Blink Benchmark (03:05:37) Generative Pre-training (03:15:26) Multimodal Generation (03:37:00) Frontier Labs & Benchmarks (03:47:45) Conclusion (03:53:28) Outro SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://www.linkedin.com/in/nathanlabenz/ Youtube: https://www.youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Pranjal Chitale discusses the '24 NeurIPS work CVQA. Spanning 31 languages and the cultures of 30 countries, this VQA benchmark was created with native speakers and cultural experts to evaluate model performance across diverse linguistic and cultural contexts.Read the paperGet the dataset

For Episode 65 of Read Between the Wines, we dive into the heart of Ontario's Niagara Escarpment to explore Flat Rock Cellars, a winery celebrated for its unique terroir, sustainable practices, and boundary-pushing winemaking. Joining us is Ed Madronich, Flat Rock's passionate and visionary President, who shares the story behind the winery's name—born from the limestone rocks unearthed during vineyard preparation—and its commitment to producing wines that authentically reflect the land. This episode uncovers the distinctive features of the Twenty Mile Bench, from its deep limestone soils to its latitude, which rivals Burgundy and Bordeaux. Ed offers fascinating insights into how these factors, combined with Flat Rock's innovative and sustainable approach, enable the creation of award-winning wines like their Twisted blend and Rieslings, which have garnered international acclaim. Listeners will learn about Flat Rock's dedication to breaking down barriers in the wine world, championing education and accessibility over pretension. We also delve into their experimental projects, such as "Project Nature Nurture," which explores how fermentation techniques shape wine profiles. Ed's deep respect for tradition, paired with his drive for innovation, ensures Flat Rock remains a leader in showcasing the potential of Canadian wine. Whether you're a wine geek or a casual enthusiast, this episode offers something truly special.   For more information about our Podcast, visit us on the web:  https://readbetweenthewinespodcast.com  Follow us on Instagram:  https://www.instagram.com/betweenthewinesmedia  Connect with us on LinkedIn:  https://www.linkedin.com/company/read-between-the-wines   

On the latest episode of the 'Matt Talks Wine  Stuff with Interesting People' Podcast my guest is 2024 VQA Promoters Award winner (Hospitality) Robbie Raskin, the Owner of Archives Wine & Spirits. I visited Robbie's wine bar/bottle shop and left thinking how lucky St. Catharines is to have this cool small slice of wine heaven right in the middle of their downtown. There is a reason why Robbie won his VQA award and it starts with this fantastic bar. Thrilled to hear he is expanding into Toronto soon.

For Episode 58 of Read Between the Wines, we are visiting one of the most iconic wineries in the Niagara region of Canada. This is our second episode featuring The Foreign Affair Winery, and this time, we are chatting with the new winemaker—well, kind of new—René Van Ede, who has been with Foreign Affair since 2020. Foreign Affair is own by Corby Spirit & Wine since 2017 – part of the Pernod Ricard Family of company. Foreign Affair is known for their Italian inspired style of wine - à la Appassimento, but like everything else, Foreign Affair is evolving and is now more than just Appassimento wines. We will talk about their new sparkling wine, their Pinot Grigio and how they invested heavily on their hospitality side of the business – they were already a must-visit, but with their new tasting room, you really need to go to see it. As for our guest, René Van Ede – he's originally from Australia and brings a wealth of expertise with years of experience in the wine business. You will realize early that René know his material and bring an amazing new approach to The Foreign Affair Winery.

We're taking off to the great wine north to explore the regions of Canada. Of course we gathered a little history and fun pop culture nuggets along the way. Resources from this episode: Books: The Oxford Companion to Wine [5th Edition], Harding, J., Robinson, J., Thomas, T. (2023) Websites and Digital Document Files: Canadian Encyclopedia: Hoser [editorial], Abley, M. (27 June 2019) https://www.thecanadianencyclopedia.ca/en/article/hoser Canadian Food Focus: What does ‘VQA' mean on Canadian Wine? Leader, M.S. https://canadianfoodfocus.org/canadian-food-stories/what-does-vqa-mean-on-canadian-wine/ Conseil Des Appellations: Vin du Québec - Indication Géographique Protégée (IGP) https://cartv.gouv.qc.ca/appellations-et-termes-valorisants/appellations-reconnues/repertoire/vin-du-quebec/ Culture Trip: Why is Canada Nicknamed the Great White North, Simpson, H. (21 April 2020) https://theculturetrip.com/north-america/canada/articles/why-is-canada-nicknamed-the-great-white-north Ontario Wine Appellation Authority: https://vqaontario.ca/ Vins du Québec: Les Vins du Québec https://winebc.com/wgbc-regional-topographic-maps/ Wine Country Ontario: https://winecountryontario.ca/ Wines of Nova Scotia: https://winesofnovascotia.ca/ Wine Spectator: After the Gold Rush, Sanderson, B. (29 February 2020) https://www.winespectator.com/articles/after-the-gold-rush Wines BC: Wines of British Columbia https://winebc.com Wines BC: Wines of British Columbia Topographic Maps: https://winebc.com/wgbc-regional-topographic-maps/ Wines of Canada: https://winesofcanada.ca You Tube: Take Off, McKenzie, B. & D., Lee, G. [Universal Music Group] (1981) https://www.youtube.com/watch?v=QL0120iJhrA Glass in Session Episodes Relevant to - or Mentioned in - This Episode: S9E3: Ice Wine/Icewine/Eiswein (Baby?) https://glassinsession.libsyn.com/website/s9e3-ice-wineicewineeiswein-baby S4E1: English Fizz https://glassinsession.libsyn.com/website/s4e1-english-fizz Glass in Session® swag mentioned in this show: https://www.teepublic.com/user/glass-in-session Glass in Session® is a registered trademark of Vino With Val, LLC. Music: “Write Your Story” by Joystock (Jamendo.com cc_Standard License, Jamendo S.A.)

For episode 53 – we are heading to Canada's Niagara region, specifically the heart of the Beamsville Bench, to visit Hidden Bench Estate Winery. Our guest is the founder and owner Harold Theil. Hidden Bench is renowned to craft premium wines using organic fruit exclusively grown on their estate vineyards. They focus on cool climate varietals particularly Pinot Noir and Chardonnay. I sat down with Harald at the winery to chat about his journey as a vintner after a successful career in the business world...

Large multimodal models (LMM) have recently shown encouraging progress with visual instruction tuning. In this note, we show that the fully-connected vision-language cross-modal connector in LLaVA is surprisingly powerful and data-efficient. With simple modifications to LLaVA, namely, using CLIP-ViT-L-336px with an MLP projection and adding academic-task-oriented VQA data with simple response formatting prompts, we establish stronger baselines that achieve state-of-the-art across 11 benchmarks. Our final 13B checkpoint uses merely 1.2M publicly available data, and finishes full training in ~1 day on a single 8-A100 node. We hope this can make state-of-the-art LMM research more accessible. Code and model will be publicly available. 2023: Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee https://arxiv.org/pdf/2310.03744v1.pdf

You never know who you're going to meet when you work at a winery. This is a recent conversation with Kaila Kliewer, formerly a wine sales professional on the coast with a background in hospitality, who I actually met 10 years ago! (That's a good story too...) We share a similar interest and appreciation in wine but also a similar point of view over the industry from the perspective of working at VQA stores. She shares some stories about her experience in wine and also a not-so-good recent experience at a winery that left her frustrated. Out stunt wine in this podcast is the OAK Estate Winery Lavish.  Support the showContact me at sipsterswinepodcast@gmail.com!Purchase copies of "The Sipsters Pocket Guides" here!Support the Sipsters Podcast by subscribing!Read Sipster's ICONS (Because sometimes more IS more.)Find us online at Sipsterswinepodcast.ca. Thank you for listening!

Part 2 of my interview with Vineland Estates' Brian  Schmidt reveals a cohesive plan for Ontario to move forward as a united front, with a chosen arsenal of what we do best. Has Ontario settled on what we do best? If so, here's what we do moving forward; Cabernet Franc, Gamay Noir, Pinot Noir, Chardonnay, Riesling and the two "workhorse" grapes that the VQA has settled on, Vidal Blanc and Baco Noir. Progress in motion?

This week is Part One of my interview with Brian Schmidt of Vineland Estates. Brian talks about his 33 years in the business, the VQA and the viability of wine making in Ontario. This week I provide a glimpse of what is to come with an excerpt of my talk with legendary recording engineer Bill Schnee. Bill has worked with EVERYONE in the record business. His stories are amazing, and Bill has a new book out, “Chairman at the Board: Recording the Soundtrack of a Generation”  - this one you need to pick up!

André was recently gifted some wines from 1983. These were wines that were served on Pacific Western Airlines, as well as Air Canada. Including a trio of Canadian wines that pre-date VQA were any of these wines drinkable?

  It's hard to believe that when Jenn Wilhelm started her journey in the wine industry that she was a terrified young woman who couldn't pronounce the names of grapes, let alone the places where the grapes were grown and the wine was made. Yet here she is now, enjoying an unbelievably rich life. Jenn was a member of the first graduating class of the Canadian Association of Professional Sommeliers - and at a time when very few women were in the field. She managed restaurants and learned every aspect of the food service industry. She became a full-time instructor and managed wine and hospitality programs at Niagara College. She was mentored by passionately committed people, including pioneering women in the Niagara wine industry, without whom, as Jenn says, "The industry would not exist as we know it today." And to give back and commemorate those women, she's now writing a book about them. Can't wait to read it, Jenn!!! Listen to the joy and passion in Jenn's voice - she's doing what she loves to do in a part of a world she's in love with. And she's sharing that joy and passion here at Wine Behind the Scenes. What you will learn from this episode: Find out the most important thing about the wine industry that you have to work on, first and foremost. Hear of one fundamental connection to the wine that makes the whole idea of winemaking and buying wine an enjoyable experience. Know about the book that recounts stories of women who made a very significant contribution to the flourishing industry that wine is now. Learn how relationship-building is key to one's success in the wine business Find out the core characteristics you must carry with you to make it in the wine industry and in all others that you want to excel in. Hear stories of struggles and triumphs, as well as passion, love, and dedication that will help you navigate the world of wine and the people who are passionately involved in it. Jennifer Wilhelm has worked in hospitality and event management for 30 years. She is a certified Sommelier by the Canadian Association of Professional Sommeliers (CAPS). She holds credentials from the Wine & Spirit Education Trust (WSET) in both wine and spirits, credentials from Prud'homme Beer, and a diploma in Hospitality Management. She joined Niagara College in 2006 as an instructor, was Wine Program Coordinator from 2009 to 2014, developed and taught classes in the wine, beer, spirits, culinary, and hospitality programs. She is a past board member and instructor for the Canadian Association of Professional Sommeliers, international wine judge, and VQA panelist. Jenn has been the recipient of several prestigious awards, including Ontario Wine Educator of the Year through the VQA Promoters Awards, 40 Under 40 Business Achievement Award, and in 2014 was awarded the Lieutenant Governor's Community Volunteer Award for her contributions to the Ontario wine industry. She is currently completing a book about the women who shaped the foundation of the Ontario wine industry, a compilation of memoires, tributes, and yet untold behind-the-scenes stories of these influential women and their contributions. She believes it crucial that the significant impact these extraordinary women have had on the industry itself and as mentors to generations of those of us working in the industry today is documented and appreciated. When she doesn't have her nose in a glass of wine or a book, Jenn's happy place is the garden. Her early restaurant experience introduced her to Ontario's passionate and dedicated farmers. Understanding how and where both grapes and food are grown has always been important to Jenn. If she isn't growing it herself, you will hear her enthusiastically promoting local organic farmers. Most recently, she took that love of growing to another level and traded her traditional classroom for a unique farm and field experience at Mingle Hill Organic Farm. In her newly created role as Experience Facilitator, she creates and leads one-of-a-kind interactive workshops, and corporate retreats for folks looking to embrace a healthy lifestyle. Get in touch with Jennifer Wilhelm: Website: www.minglehill.com Instagram: https://www.instagram.com/iso_jenniejoy/ Email add: jwilhelmrose@gmail.com Topics Covered: 01:49 - Taking it all back to Niagara College, where everything started for Jenn and where she and Laurel met 04:31 - How building solid relationships with people creates a domino effect 07:06 - Becoming one among the first graduating class of the Canadian Association of Professional Sommeliers [ after that terrifying and intimidating experience ] 09:38 - Her strength and the critical factor in building her reputation and credibility in the industry 12:32 - Not just about the wine; it's about the people and the connections you make 14:14 - Finding the time to get connected with past students and colleagues 15:04 - A book she authored that speaks of appreciation and gratitude towards the women who started it all and made wine a flourishing industry that it is now 21:02 - More reasons to look forward to Jenn's book 22:40 - Talking to the Jenn of 30 years ago [ advice she would give herself then] 24:03 - Would she have thought then to end up where she is now? 26:47 - Focusing not just on a bottle of wine; but also on the passion, love, and dedication that goes into winemaking Quotes from Jennifer Wilhelm: "I was quite intimidated by the fact that I hadn't traveled. I didn't have money, so I didn't have a wine cellar." "The truth is that in my early twenties, wine terrified me. It absolutely terrified me." "We said we'll work for wine. And we did." "The more we worked together and the more we tasted, the more we learned and the more passionate we became." "We now in the industry have so much experience, but back then, in the seventies, and early eighties, selling Ontario wine and even using the words premium Ontario wine in the same sentence was unheard of." "We are all more than our career and our profession that people see." "There's so much passion and love and dedication in each wine bottle."

#blip #review #ai Cross-modal pre-training has been all the rage lately in deep learning, especially training vision and language models together. However, there are a number of issues, such as low quality datasets that limit the performance of any model trained on it, and also the fact that pure contrastive pre-training cannot be easily fine-tuned for most downstream tasks. BLIP unifies different tasks and objectives in a single pre-training run and achieves a much more versatile model, which the paper immediately uses to create, filter, clean and thus bootstrap its own dataset to improve performance even more! Sponsor: Zeta Alpha https://zeta-alpha.com Use code YANNIC for 20% off! OUTLINE: 0:00 - Intro 0:50 - Sponsor: Zeta Alpha 3:40 - Paper Overview 6:40 - Vision-Language Pre-Training 11:15 - Contributions of the paper 14:30 - Model architecture: many parts for many tasks 19:50 - How data flows in the model 26:50 - Parameter sharing between the modules 29:45 - Captioning & Filtering bootstrapping 41:10 - Fine-tuning the model for downstream tasks Paper: https://arxiv.org/abs/2201.12086 Code: https://github.com/salesforce/BLIP Demo: https://huggingface.co/spaces/Salesfo... Abstract: Vision-Language Pre-training (VLP) has advanced the performance for many vision-language tasks. However, most existing pre-trained models only excel in either understanding-based tasks or generation-based tasks. Furthermore, performance improvement has been largely achieved by scaling up the dataset with noisy image-text pairs collected from the web, which is a suboptimal source of supervision. In this paper, we propose BLIP, a new VLP framework which transfers flexibly to both vision-language understanding and generation tasks. BLIP effectively utilizes the noisy web data by bootstrapping the captions, where a captioner generates synthetic captions and a filter removes the noisy ones. We achieve state-of-the-art results on a wide range of vision-language tasks, such as image-text retrieval (+2.7% in average recall@1), image captioning (+2.8% in CIDEr), and VQA (+1.6% in VQA score). BLIP also demonstrates strong generalization ability when directly transferred to video-language tasks in a zero-shot manner. Code, models, and datasets are released at this https URL. Authors: Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://discord.gg/4H8xxDF BitChute: https://www.bitchute.com/channel/yann... LinkedIn: https://www.linkedin.com/in/ykilcher BiliBili: https://space.bilibili.com/2017636191 If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannick... Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

#blip #interview #salesforce Paper Review Video: https://youtu.be/X2k7n4FuI7c Sponsor: Assembly AI https://www.assemblyai.com/?utm_sourc... This is an interview with Junnan Li and Dongxu Li, authors of BLIP and members of Salesforce research. Cross-modal pre-training has been all the rage lately in deep learning, especially training vision and language models together. However, there are a number of issues, such as low quality datasets that limit the performance of any model trained on it, and also the fact that pure contrastive pre-training cannot be easily fine-tuned for most downstream tasks. BLIP unifies different tasks and objectives in a single pre-training run and achieves a much more versatile model, which the paper immediately uses to create, filter, clean and thus bootstrap its own dataset to improve performance even more! OUTLINE: 0:00 - Intro 0:40 - Sponsor: Assembly AI 1:30 - Start of Interview 2:30 - What's the pitch? 4:40 - How did data bootstrapping come into the project? 7:10 - How big of a problem is data quality? 11:10 - Are the captioning & filtering models biased towards COCO data? 14:40 - Could the data bootstrapping be done multiple times? 16:20 - What was the evolution of the BLIP architecture? 21:15 - Are there additional benefits to adding language modelling? 23:50 - Can we imagine a modular future for pre-training? 29:45 - Diving into the experimental results 42:40 - What did and did not work out during the research? 45:00 - How is research life at Salesforce? 46:45 - Where do we go from here? Paper: https://arxiv.org/abs/2201.12086 Code: https://github.com/salesforce/BLIP Demo: https://huggingface.co/spaces/Salesfo... Abstract: Vision-Language Pre-training (VLP) has advanced the performance for many vision-language tasks. However, most existing pre-trained models only excel in either understanding-based tasks or generation-based tasks. Furthermore, performance improvement has been largely achieved by scaling up the dataset with noisy image-text pairs collected from the web, which is a suboptimal source of supervision. In this paper, we propose BLIP, a new VLP framework which transfers flexibly to both vision-language understanding and generation tasks. BLIP effectively utilizes the noisy web data by bootstrapping the captions, where a captioner generates synthetic captions and a filter removes the noisy ones. We achieve state-of-the-art results on a wide range of vision-language tasks, such as image-text retrieval (+2.7% in average recall@1), image captioning (+2.8% in CIDEr), and VQA (+1.6% in VQA score). BLIP also demonstrates strong generalization ability when directly transferred to video-language tasks in a zero-shot manner. Code, models, and datasets are released at this https URL. Authors: Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://discord.gg/4H8xxDF BitChute: https://www.bitchute.com/channel/yann... LinkedIn: https://www.linkedin.com/in/ykilcher BiliBili: https://space.bilibili.com/2017636191 If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannick... Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Opinions on Interpretable Machine Learning and 70 Summaries of Recent Papers, published by lifelonglearner, Peter Hase on the AI Alignment Forum. Crossposted from the AI Alignment Forum. May contain more technical jargon than usual. Peter Hase. UNC Chapel Hill. Owen Shen. UC San Diego. With thanks to Robert Kirk and Mohit Bansal for helpful feedback on this post. Introduction. Model interpretability was a bullet point in Concrete Problems in AI Safety (2016). Since then, interpretability has come to comprise entire research directions in technical safety agendas (2020); model transparency appears throughout An overview of 11 proposals for building safe advanced AI (2020); and explainable AI has a Twitter hashtag, #XAI. (For more on how interpretability is relevant to AI safety, see here or here.) Interpretability is now a very popular area of research. The interpretability area was the most popular in terms of video views at ACL last year. Model interpretability is now so mainstream there are books on the topic and corporate services promising it. So what's the state of research on this topic? What does progress in interpretability look like, and are we making progress? What is this post? This post summarizes 70 recent papers on model transparency, interpretability, and explainability, limited to a non-random subset of papers from the past 3 years or so. We also give opinions on several active areas of research, and collate another 90 papers that are not summarized. How to read this post. If you want to see high-level opinions on several areas of interpretability research, just read the opinion section, which is organized according to our very ad-hoc set of topic areas. If you want to learn more about what work looks like in a particular area, you can read the summaries of papers in that area. For a quick glance at each area, we highlight one standout paper per area, so you can just check out that summary. If you want to see more work that has come out in an area, look at the non-summarized papers at the end of the post (organized with the same areas as the summarized papers). We assume readers are familiar with basic aspects of interpretability research, i.e. the kinds of concepts in The Mythos of Model Interpretability and Towards A Rigorous Science of Interpretable Machine Learning. We recommend looking at either of these papers if you want a primer on interpretability. We also assume that readers are familiar with older, foundational works like "Why Should I Trust You?: Explaining the Predictions of Any Classifier." Disclaimer: This post is written by a team of two people, and hence its breadth is limited and its content biased by our interests and backgrounds. A few of the summarized papers are our own. Please let us know if you think we've missed anything important that could improve the post. Master List of Summarized Papers. Theory and Opinion. Explanation in Artificial Intelligence: Insights from the Social Sciences. Chris Olah's views on AGI safety. Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Aligning Faithful Interpretations with their Social Attribution. Evaluation. Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction. Comparing Automatic and Human Evaluation of Local Explanations for Text Classification. Do explanations make VQA models more predictable to a human? Sanity Checks for Saliency Maps. A Benchmark for Interpretability Methods in Deep Neural Networks. Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? ERASER: A Benchmark to Evaluate Rationalized NLP Models. On quantitative aspects of model interpretability. Manipulating and M...

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Opinions on Interpretable Machine Learning and 70 Summaries of Recent Papers, published by lifelonglearner, Peter Hase on the AI Alignment Forum. Peter Hase. UNC Chapel Hill. Owen Shen. UC San Diego. With thanks to Robert Kirk and Mohit Bansal for helpful feedback on this post. Introduction. Model interpretability was a bullet point in Concrete Problems in AI Safety (2016). Since then, interpretability has come to comprise entire research directions in technical safety agendas (2020); model transparency appears throughout An overview of 11 proposals for building safe advanced AI (2020); and explainable AI has a Twitter hashtag, #XAI. (For more on how interpretability is relevant to AI safety, see here or here.) Interpretability is now a very popular area of research. The interpretability area was the most popular in terms of video views at ACL last year. Model interpretability is now so mainstream there are books on the topic and corporate services promising it. So what's the state of research on this topic? What does progress in interpretability look like, and are we making progress? What is this post? This post summarizes 70 recent papers on model transparency, interpretability, and explainability, limited to a non-random subset of papers from the past 3 years or so. We also give opinions on several active areas of research, and collate another 90 papers that are not summarized. How to read this post. If you want to see high-level opinions on several areas of interpretability research, just read the opinion section, which is organized according to our very ad-hoc set of topic areas. If you want to learn more about what work looks like in a particular area, you can read the summaries of papers in that area. For a quick glance at each area, we highlight one standout paper per area, so you can just check out that summary. If you want to see more work that has come out in an area, look at the non-summarized papers at the end of the post (organized with the same areas as the summarized papers). We assume readers are familiar with basic aspects of interpretability research, i.e. the kinds of concepts in The Mythos of Model Interpretability and Towards A Rigorous Science of Interpretable Machine Learning. We recommend looking at either of these papers if you want a primer on interpretability. We also assume that readers are familiar with older, foundational works like "Why Should I Trust You?: Explaining the Predictions of Any Classifier." Disclaimer: This post is written by a team of two people, and hence its breadth is limited and its content biased by our interests and backgrounds. A few of the summarized papers are our own. Please let us know if you think we've missed anything important that could improve the post. Master List of Summarized Papers. Theory and Opinion. Explanation in Artificial Intelligence: Insights from the Social Sciences. Chris Olah's views on AGI safety. Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Aligning Faithful Interpretations with their Social Attribution. Evaluation. Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction. Comparing Automatic and Human Evaluation of Local Explanations for Text Classification. Do explanations make VQA models more predictable to a human? Sanity Checks for Saliency Maps. A Benchmark for Interpretability Methods in Deep Neural Networks. Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? ERASER: A Benchmark to Evaluate Rationalized NLP Models. On quantitative aspects of model interpretability. Manipulating and Measuring Model Interpretability. Methods. Estimating Feature Importance. Neuron Shapley...

An interview with Adam Pearce, winemaker at Two Sisters Vineyards located in Niagara-on-the-Lake, Ontario. Two Sisters Vineyards founded by sisters Melissa & Angela is a gorgeous Estate of beautifully textured, world-class wines with extended barrel aging capability. 

Our first ever Grand River Row-a-Thon starts tomorrow! We're going the distance for local healthcare.Fiona and I share our personal experiences with the Haldimand War Memorial and why supporting the Dunnville Hospital  and Healthcare Foundation is so important.Oh, and we make a few predictions about which teams will take second and third spot behind our two-man boat.We are enjoying a local VQA and  having a lot of fun in the Isle of Sound Studios.

Knowledge-based visual question answering (VQA) involves answering questions that require external knowledge not present in the image. Inspired by GPT-3's power in knowledge retrieval and question answering, instead of using structured KBs as in previous work, we treat GPT-3 as an implicit and unstructured KB that can jointly acquire and process relevant knowledge. 2021: Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang https://arxiv.org/pdf/2109.05014.pdf

What do a British diplomat, a Paris wine shop owner, and a Mosel winegrower have to do with Ontario wine? Listen in to find out - they all defined or shaped Ontario's wine industry in some way.  In this rich episode on the history of the Ontario wine industry, you'll also hear many more legends, tales and genuine anecdotes archived from the mists of distant times in the voices of those who witnessed them. Be there for the death of labrusca wines, and the birth of an appellation system, the scourge of hungry birds and the triumphs of international awards.With a collective experience in the wine industry of well over a century, our guests today include legendary wine writer Tony Aspler, President of Cave Spring Vineyard Len Penachetti, Stratus winemaker Jean-Laurent (“JL”) Groux, and Vineland Estates winemaker Brian Schmidt.  We'll take a look at some of the early plantings in Niagara as well as the confluence of factors in the late 1980s that paved the way to grow the Ontario wine industry into what it is today including, GATT (the general agreement on tariffs and trade), the Wine Content Act, and the aforementioned creation of the Vintner's Quality Alliance, or the VQA as we call it, the appellation authority in Ontario. Tariffs, trade and technicalities aside, the Thieves are most interested in the stories told by many of those that were at the forefront of this burgeoning industry. Grab a glass and listen in to what Sara and John have uncovered from the archives. This episode was created in partnership with Wine Country Ontario although the opinions expressed are entirely those of the Wine Thieves and guests.

Steph & Michayla take a field trip to Rockway Vineyards to drink some wine out of soda pitchers in a weird looking lab with 80X Wine Company to learn about their quirky style in wine making. They tell the girls about their failures and successes and also how they're wonderfly weird names of their wines came to be. They teach the girls about critter wines, VQA wines and even pairing wine with fried chicken.Follow them on Instagram @80xwine and Twitter @80xwine, Andre @andrewinereview on Instagram and @andrewinereview on Twitter,  Andre's podcast on Instagram @twoguystalkingwine and Twitter @2guystalkinwineFollow us on Instagram @alcoholaholics, Michayla @michaylacaugh, Steph @steph.mtFollow us on Twitter @alcoholaholicsVisit our website www.alcohol-aholics.comPlease always drink responsibly.Cheers!

The Wine Thieves are thrilled to be back on home soil in beautiful southern Ontario investigating what might just be Ontario's finest and most reliable grape variety, Chardonnay. Of the 51 varieties authorized for VQA production, chardonnay is number one by volume accounting for 13% of total VQA production. This episode gives you an overview of Ontario appellations and sub-appellations, and explanations of some of the major differences we've come to expect from this chameleon grape variety across the province. In discussion with winemaker friends Jay Johnston of Hidden Bench and Craig McDonald of Andrew Peller/Trius in Niagara, along with Dan Sullivan of Rosehall Run in Prince Edward County, John and Sara attempt to discover what makes chardonnay so popular with both producers and consumers, and why it is Ontario's signature grape. Value is always part of the equation, and John also makes a bold prediction on  future pricing. Join us with a glass and get prepped for the upcoming i4C, the 11th edition of the International Cool Climate Chardonnay Celebration on July 23rd in Niagara, which showcases Ontario's finest in a global context. This episode was produced in partnership with VQA Wine Country Ontario.

How can we build Visual Question Answering systems for real users? For this episode, we chatted with Danna Gurari, about her work in building datasets and models towards VQA for people who are blind. We talked about the differences between the existing datasets, and Vizwiz, a dataset built by Gurari et al., and the resulting algorithmic changes. We also discussed the unsolved challenges in this field, and the new tasks they result in. Danna Gurari is an Assistant Professor as well as Founding Director of the Image and Video Computing group in the School of Information at University of Texas at Austin (UT-Austin). Vizwiz project page: https://vizwiz.org/ The hosts for this episode are Ana Marasović and Pradeep Dasigi.

Eddie Van Halen has passed away at the age of 65. What made him such an outstanding musician and how did he find his way into making amazing music with more than just the band, Van Halen. Guest: Eric Alper, Publicist, Music Commentator & Shameless Idealist - Ontario is a major player in the wine industry but with COVID-19 disrupting just about everything everywhere, how's Ontario's wine industry holding up? Guest: Britt Dixon, Winery Media/PR consultant See omnystudio.com/listener for privacy information.

11 Unusual things you can do with your coffee grinds. Michelle & Courtney have an "Aha!" moment. Dee Dee from Cave Spring Winery tells us what's going on at the winery right now.What the heck is VQA anyway? Courtney & Michelle get to the bottom of it.Drinks on Us listeners weigh in on whether they look for the VQA symbol while shopping at the LCBO.

Canada is a market that has grown exponentially in the last 20 years, since the switch to Vitis Vinifera and investment in new wineries. In this episode I talk to Rod Phillips Author of The Wines of Canada. Rod offers amazing insights on the wines of key regions – Ontario on the centre-east of the country and the Okanagan Valley in British Columbia in the west. Two opposite realities, Ontario specialising in cool climate grapes ( Such as Riesling, Chardonnay and Pinot Noir) and Okanagan Valley warm climate specialising in Bordeaux Varieties, Syrah and Pinot Gris.We start by touching on the key dates of the development of Canadian wines. Rod is a world leader wine historian and I really enjoyed picking his brain and hearing about the fascinating history of the country’s wines. Rod also explores some controversial techniques used in Quebec to produce Ice Wines, where grapes are cut and left in the proximity of the vine rather than on the vine. The potential of Nova Scotia Traditional Method sparkling wines is also mentioned and the reality that Canada will probably never be a high-volume producer but will be a specialised boutique wine country, with lots of very good quality wines. This episode is suitable to anyone who has some knowledge of the whereabouts of the regions, and wants to learn more about Canadian wines.Rod’s book The Wines of Canada, is a must read on the region. It will be soon available on the Wine Bookshop on www.mattiascarpazza.com. Some other useful links: https://www.wine-searcher.com/regions-canada https://www.rodphillipsonwine.com/https://www.jancisrobinson.com/articles/quebec-wine-lovershttps://winecountryontario.ca/https://origins.wine/partners/british-columbia/

We are so excited to welcome another very special guest to the @WYSWpodcast today, ANURADHA DUGAL! Anuradha is the Senior Director of Community Initiatives & Policy at the Canadian Women’s Foundation. She is committed to not-for-profit work for social justice and has been engaged in many roles in the sector - management, fundraising, events, convening, public education and direct program delivery. As well as being a fierce advocate for all who identify as women and girls, she is the mother to three boys who she is raising to be feminists. And she still finds time occasionally to enjoy gardening, knitting, and swimming! After our weekly check-in, we were thrilled to lead a conversation with Anuradha surrounding what it means to be a racialized woman, and how this identity has shifted for her throughout her life. We also chat with her about how she is raising her sons, and what it means for her to raise white men. This week we’re drinking Pascual Toso Chardonnay, Sandbanks Riesling-Gewürztraminer VQA, and Anuradha’s Smoothie w/ Bacardi. We gave these drinks a buzz rating of 3/5, 4.5/5, and 3.5/5 respectively. Become a Patron! http://tiny.cc/bhjuez To learn more about any of our team members please follow us on social media! You can find WomenatthecentrE (IG: @WomenatthecentrE / TW: @WomenatcentrE), What’s Your Safe Word? (@WYSWpodcast), Nneka MacGregor (@NnekaMacGregor), Shelleena Hackett (@Shelleena), Amanda Hollahan (@AmandaHollahan), Nicole Fontyn (@NicoleFontyn), and Karia Jones (@motorkay) on Instagram and Twitter! Amazing intro music by: @wanderallwinter If you have any comments, questions, or concerns please email us at: podcast@womenatthecentre.com or check out our website: https://wysw.womenatthecentre.com --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

On this week’s episode we are so excited to welcome JAIMIE TOROK! Jaimie is an Ontario Public Service employee, a volunteer for St. Vincent Place Men’s Shelter, Food Bank, Soup Kitchen and Thrift Store, a Big Sister with Big Brothers Big Sisters Sault Ste. Marie, a single-mother, a survivor, and a passionate advocate for women and children rights. Jaimie is also a part of the @WomenatthecentrE team as a Chapter Executive Member and integral leader of our Sault Ste. Marie chapter! How she finds the time to do this all, we will never know! But we are so happy to have her on the podcast this week to talk about her experience of being a single mother raising two children, the importance of leading with love, and how she fosters healthy relationships with her sons. To learn more about becoming a member with WomenatthecentrE, please visit: https://www.womenatthecentre.com/members/ This week we’re drinking Open Riesling Gewürztraminer VQA, Magnotta Shiraz, Babich Sauvignon Blanc, and Riunite Lambrusco Frizzante. We gave these wines a buzz rating of 4/5, 5/5, 4.5/5, and 4.5/5 respectively. Become a Patron! http://tiny.cc/bhjuez To learn more about any of our team members please follow us on social media! You can find WomenatthecentrE (IG: @WomenatthecentrE / TW: @WomenatcentrE), What’s Your Safe Word? (@WYSWpodcast), Nneka MacGregor (@NnekaMacGregor), Shelleena Hackett (@Shelleena), Amanda Hollahan (@AmandaHollahan), Nicole Fontyn (@NicoleFontyn), and Karia Jones (@motorkay) on Instagram and Twitter! Amazing intro music by: @2nightofficial1 If you have any comments, questions, or concerns please email us at: podcast@womenatthecentre.com or check out our website: https://wysw.womenatthecentre.com --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

Michael and André sit down to go over a few topics - but we kick things off with thoughts on the new VQA logo.

Stephanie & Cynthia explore the Prince Edward County wine region, have a few tastings and make some new friends along the way. Show notes: http://stephaniepiche.ca/flavour2-42 YouTube: https://youtu.be/X99oBKoy2u4 For the love of food, drinks and travel, subscribe and follow us here, on the social media channels below and on all podcast players... Facebook: http://www.facebook.com/flyingforflavour/ Instagram: http://www.instagram.com/flyingforflavour/ Website: http://flyingforflavour.ca Twitter: @flyingflavour Stephanie: @stephaniepiche Cynthia: @cynabu Stacy: @herendofrainbow

Stephanie and Cynthia chat in the car on their way back from a wine weekend in Prince Edward County.

In this episode, Yoav Artzi joins us to talk about visual reasoning. We start by defining what visual reasoning is, then discuss the pros and cons of different tasks and datasets. We discuss some of the models used for visual reasoning and how they perform, before ending with open questions in this young, exciting research area. Yoav Artzi: https://yoavartzi.com/ NLVR: https://github.com/clic-lab/nlvr/tree/master/nlvr NLVR2: https://github.com/clic-lab/nlvr/tree/master/nlvr2 CLEVR dataset: https://cs.stanford.edu/people/jcjohns/clevr/ VQA: https://visualqa.org/ GQA: https://cs.stanford.edu/people/dorarad/gqa/index.html Neural module networks: https://arxiv.org/abs/1511.02799

Michael and Andre revisit the topic of changes to the VQA for one specific purpose - to taste a non-vintage, multi-vintage blend ... but then they also go on a "tangerine" ... and while you will hear Andre's voice in this podcast it's because we recorded this one late in 2018. He's coming back ... or so he says.

There are some proposed changes on the table at the VQA - what will they mean - we weigh in with our opinions?

It was during a chance visit in 2000 that Catherine Langlois fell in love with Prince Edward County, a rural peninsula that pushes out into Lake Ontario about an hour west of Kingston. Catherine had also fallen in love with the art of wine-making while working in the world-renowned vineyards of Burgundy, France, an opportunity she took while studying hospitality management in Montreal. Catherine, who grew up on the south shore of Quebec City, got a Farm Loan, sold her home and bought 15 acres of land near the town of Wellington. She traded in her red motorcycle for a blue tractor and went about planting and building what was only the fourth winery in Prince Edward County; that number now tops 40. Sandbanks Winery started by selling 4 wines to local restaurants, but Catherine opened the store when it became clear there was a growing demand for her wines. Sandbanks is now a commercial success with 19 products listed at the LCBO, Ontario’s Liquor retailer. Sandbanks Winery is also the LCBO’s fifth top supplier of VQA wines, which are wines made from 100% Ontario grapes. Catherine was recognized as the Quinte Region’s Remarkable Woman of the Year in 2017 for helping to put the region on the map and playing a vital role in boosting the region’s economy and its stature as a tourist destination.

Pick of the week: Prospect Winery Sauvignon Blanc, VQA

In Canada, it's all about icewine this time of year. What exactly is it? What styles are available? Are there any comparable offerings in other countries? What can you pair it with? Show notes at: http://stephaniepiche.ca/flavour24

Michael and André dissect a conversation that has arose over the past few weeks about the VQA.

One of the three biggest corporations involved in Canada's wine industry, Andrew Peller Limited (which owns several brand names and labels, including Peller Estates) has purchased three iconic B.C. VQA wineries: Tinhorn Creek, Black Hills, and Grey Monk. The Dork, who is Uncorked, describes this as a seismic shift in the province's wine industry. We talk about what it could mean. Speaking of wineries owned by major corporations, we get into a "case" study on 5 Vineyards, an entry level label produced by the Okanagan's Mission Hill Winery (itself owned by another of the major wine corporations, Mark Anthony Brands International). Specifically, we compare the 5 Vineyards Chardonnay to the Tinhorn Creek Chardonnay, Both from the Okanagan, both good, both offer examples of terroir differences, but one at a more accessible price point. And the Pick of the Week is the Cotes du Rhone "Le Dome du Grand Bois" for about $20.

Michael and André take a look at the fastest growing varietal in the General List at the LCBO for VQA wines.