Y Combinators Demo Day was a bit different this time around.
As concerns grew over the spread of COVID-19, Y Combinator shifted the event format away from the two-day gathering in San Francisco weve gotten used to, instead opting to have its entire class debut to invited investors and media via YCs Demo Day website.
In a bit of a surprise twist, YC also moved Demo Day forward one week, citing accelerated pacing from investors. Alas, this meant switching up its plan for each company to have a recorded pitch on the Demo Day website; instead, each company pitched via slides, a few paragraphs outlining what theyre doing and the traction theyre seeing, and team bios. Its unclear so far how this new format in combination with the rapidly evolving investment climate will impact this class.
As we do with each class, weve collected our notes on each company based on information gathered from their pitches, websites and, in some cases, our earlier coverage of them.
To make things a bit easier to read, weve split things up by category rather than have it be one huge wall of text. These are the companies that are working on hardware, robotics, AI, machine learning or tools for developers. You can find the other categories (such as biotech, consumer, and fintech) here.
Datasaur: A tool meant to help humans label machine data data sets more accurately and efficiently through things like auto-correct, auto-suggest and keyboard hotkeys. Its free for individual labelers, $100 per month for teams of up to 20 labelers, with custom pricing for larger teams.
1build: Automatic, data-driven job cost estimates for construction companies. You upload your plans, and 1build says it can prepare accurate bids in minutes. The company projects a revenue run rate of over $600,000, and says it has completed estimates for mega companies like Amazon, Starbucks and 7-Eleven.
Handl: An API for turning paper documents including handwritten ones into structured data ready to be plunked into a database or CRM. While the company says that around 85% of its processing is handled by their AI, its backed by humans to validate data when the AIs confidence is low. Nine months after launch, the company is seeing an ARR of $0.9 million.
Zumo Labs: Uses game engines to generate pre-labeled training data for computer vision systems. By synthesizing the data rather than collecting it from photos/videos of the real world, the company says it can create massive data sets faster, cheaper and without privacy issues.
Teleo: Retrofits existing construction equipment to allow operators to control them remotely. The company says it has built a fully functional teleoperated loader since being founded three months ago, and plans to charge construction companies a flat monthly fee per vehicle. The companys co-founders were previously head of Hardware Engineering and director of Product Manager at Lyft, with both having worked on Googles Street View team.
Menten AI: Menten AI says its using quantum computing and machine learning combined with synthetic biology to design new protein-based drugs.
Turing Labs Inc.: Automated, simulated testing of different formulas for consumer goods like soaps and deodorant. Home products and cosmetics can be months of work for R&D labs. Turing has built an AI engine that helps with this process much like the AI engines used in drug discovery cutting down the time to days. Its already working with some of the biggest CPG companies in the world. You can find our previous coverage on Turing here.
Segmed: Segmed is building data sets for AI-driven medical research. Rather than requiring each and every researcher to individually partner with hospitals and imaging facilities, Segmed partners with these organizations (currently over 50) and standardizes, labels and anonymizes the data.
Ardis AI: Ardis AI wants to build the foundation of artificial general intelligence technology that read and comprehend text like a human. By combining neural networks, symbolic reasoning and new natural language processing techniques, Ardis AI can serve companies that dont want to hire teams to do data extraction and labeling.
Agnoris: Agnoris analyzes a restaurants point-of-sale data to recommend changes to pricing, delivery menus and staffing. For $3,600 per year per restaurant location, Agnoris claims to be able to raise profits by 20%. The company started after the founder opened a restaurant that was packed yet losing money, so it built machine learning tools to improve margins and now its selling that software to all eateries.
Froglabs: Froglabs provides weather forecasting AI to businesses for predicting solar and wind energy production, delivery delays, staffing shortages, sales demand and food availability. By ingesting petabytes of weather data, it can save companies money by ensuring their logistics arent disrupted. Founded by a long-time Googler who started its Project Loon internet-beaming weather balloons, its now signing up e-commerce, retail, rideshare, restaurant and event businesses.
PillarPlus: PillarPlus is a platform that automates the blueprint-designing phase of a building project. It takes a design from an architect or contractor and maps out mechanical, fire, electrical and plumbing details, and estimates the bill of materials and project cost, steps that otherwise take months of work.
Glisten: Glisten uses computer vision and machine learning technologies to develop better, more consistent data sets for e-commerce companies. Its first product is an AI-based tool to populate and enrich sparse product data. Find our previous coverage of Glisten here.
nextmv: Nextmv gives its customers the ability to create their own logistics algorithms automatically allowing businesses to optimize fleets and manage routes internally.
Visual One: Movement-detecting security cameras can bring up a lot of false positives: theres motion, yes, but not necessarily anything harmful. Visual One has built an AI platform that integrates with home security cameras to read the specific movements that they detect. Owners can create customised alerts so they get notifications only for what they care about. The companys software can check for furniture-destroying pets, package-lifting thieves, the death-defying antics of toddlers and more. Find our previous coverage of Visual One here.
PostEra: Medicinal chemistry-as-a-service is the idea here: PostEras platform can design and synthesize molecules faster and at a lower cost than the typical R&D lab, speeding up the research time it takes to test new combinations in the drug discovery process.
Cyberdontics: Robotics have already revolutionized surgery, courtesy of companies like da Vinci-maker, Intuitive. Cyberdontics is aimed at doing the same for oral surgery, beginning with crowns one of the more expensive and time-intensive procedures. The company says its robot is capable of performing the generally two-hour procedure in 15 minutes, charging a mere $140 for the job.
Avion: Focused on inhabitants of difficult to reach areas in Africa, Avion is building a drone-based delivery system. The plans consist of medium and long-range medical drones tied to a centralized hub. The drones are hybrid and autonomous with vertical take-off capabilities, able to take 5-kg payloads as far as 150 kms.
SOMATIC: Industrial bathroom cleaning is a prime dull/dirty candidate to be replaced by automation. Somatic builds large robots that are trained to clean restrooms via VR. The system sprays and wipes down surfaces and is capable of opening doors and riding up and down in the elevator. Find our previous coverage of SOMATIC here.
RoboTire: Anyone whos ever sat in a service shop waiting room knows how time-intensive the process can be. RoboTire promises to cut the wait time from 60 minutes down to 10 for a set of four tires. The company has begun piloting the technology in locations around the U.S. Find our previous coverage of RoboTire here.
Morphle: Designed to replace outdated analog microscopes, Morphles system uses robotic automation to improve imaging. The startup processes higher-resolution images than far pricier systems and with a much smaller failure rate. Morphle has begun selling its system to labs in India.
Daedalus: Founded by an early engineer at OpenAI, Daedalus is building autonomous software to allow industrial robots to operate without human programming, beginning with CNC machines. The company projects that it can improve productivity in the metal machining market by 5x.
Exosonic, Inc.: Exosonic makes supersonic commercial aircraft that dont have to produce a loud sonic boom, so they can be flown over land. Its goal is a plane that can fly from SF to NYC in three hours. The CEO worked on NASAs low-boom X-59 aircraft while at Lockheed Martin. Exosonic now has letters of intent from a major airline and two Department of Defense groups, plus a $300,000 U.S. Air Force contract.
Nimbus: Founded by a serial entrepreneur and based in Ann Arbor, Mich., Nimbus is developing the next-generation vehicle platform for urban transportation. Founder Lihang Nong previously launched the fuel-injection systems developer PicoSpray and is now looking to answer the question, Can a vehicle be several times more space and energy efficient than todays cars while actually being more comfortable to ride in?
UrbanKisaan: UrbanKisaan is a vertical farming operation based in India that delivers fresh produce subscriptions to households. Its farms of stacked-up hydroponic tables can be located near cities with just 1% of the land usage of traditional agriculture, and there are no pesticides necessary. In a market with a growing middle class seeking healthy foods, delivering from farm-to-door could let UrbanKisaan control quality and its margins.
Talyn Air: Two former SpaceX engineers have developed a long-range electric vertical take-off and landing (eVTOL) aircraft for passengers and cargo. The startup has created an electric fixed-wing aircraft that is caught mid-air with a custom winged drone during take offs and landings, an approach that its founders say give this aircraft three times the range of its competitors, at 350 miles.
BuildBuddy: Two ex-Googlers want to provide a Google-style development environment to all by building an open-source UI/feature set on top of Googles Bazel software. The company says that their solution speeds up build times by up to 10x. Its free for independent developers, with the price scaling from $4 per user to $49 per user depending on the size of the team and the features required.
Dataline: Meant to let websites gather analytics data from users who are using ad-blocking tools. Claiming that most ad-blocker users care mostly about display ads or cross-site tracking, the company says that first-party analytics gets hit as collateral damage. By acting as a smart proxy that runs on a sub-domain, Dataline avoids most ad-blocking systems (for now, presumably.)
Cortex: Many modern online software applications are powered by countless independent, purpose-focused tools or microservices. Cortex monitors your apps microservices to automatically flag the right person (hooking into Datadog/Slack/PagerDuty/etc.) when one breaks.
apitracker: Even if your website seems to be loading fine, the APIs you use to make it work might be having trouble, breaking things in not so obvious ways. Apitracker tracks your APIs. It monitors the APIs you use, alerting you when one of them starts to fail and providing insights into their overall performance.
Freshpaint: Freshpaints autotrack system collects all pageviews/clicks/etc. across your site, allowing you to push it into tools like Google Analytics/Facebook Pixel etc. retroactively without requiring your dev team to make manual trackers for each event. The base plan is free for sites with fewer than 3,000 users and $300 for sites with up to 50,000 monthly users, after which point the pricing shifts to custom packaging.
Datree: Datree allows companies to set up rules and security policies for their codebase, and ensures those rules are followed before any code is merged. Charging $28 per developer (noting that its free for independent/open source projects), theyve pulled in ~$230K in revenue to date. Find our previous coverage of Datree here.
fly.io: Deploys your app on servers that are physically closer to your users, decreasing latency and improving the user experience. If your app grows more popular in a certain city, Fly detects that and scales resources accordingly.
Sweeps: Sweeps claims that they can make your website 40% faster with one line of code, by more intelligently loading all of the third-party tools that a website is using. The team says that their tech not only improves speed but does so while improving SEO.
Orbiter: Orbiter is an automatic real-time monitoring and alert system integrated with Slack to ensure better customer service and revenue management.
Release: Product releases can be tricky. Release provides a staging management toolkit it builds a staging environment each time theres a pull request, allowing for faster/more collaborative development cycles.
Signadot: Signadot is monitoring and management software for the microservices that modern startups rely on to power their own applications and services, hopefully flagging issues before they become apparent to the end user.
Raycast: Raycast is a universal command bar for developers and many of the tools they use. Users can integrate apps including Jira, GitHub or Slack and take a Superhuman-like approach to completing forms and tasks. The team is pitching the tool as a way to help engineers get their non-engineering work done quickly.
Cotter: Cotter is building a phone number-based login platform that authenticates a users device in a workflow that the companys founders say has the convenience of SMS-based OTP without the security issues. The startup is aiming to target customers in developing countries where email is less utilized and less convenient as a login.
ditto: Dittos founders are hoping to create the Figma for words, helping teams plan out more thoughtfully the copy they use to describe their products and workflows. The collaboration tool created by Stanford roommates Jolena Ma and Jessica Ouyang currently has 80+ different companies represented among their users.
Scout: A continuous integration and deployment toolkit for machine learning experiments inside a GitHub workflow.
ToDesktop: ToDesktop has designed a service to automate all of your desktop application publishing needs. It works with Windows, Mac and Linux and provides native installers, auto-updates, code signing and crash reports without the need for any infrastructure or configurations for developers.
DeepSource: DeepSource is a code review tool that allows developers to check for bug risks, anti-patterns, performance issues and security flaws in Python and Go.
Flowbot: Flowbot is a natural language, autocomplete search tool for coding in Python. It lets Python developers type in plain English when they cant remember the exact function theyre thinking of, with Flowbot digging through documentation and considering the context to find the code it thinks youre looking for.
PostHog: PostHog is a software service that lets developers understand how their users are actually working with their products. Its a product analytics toolkit for open-source programmers.
Follow this link:
All the companies from Y Combinators W20 Demo Day, Part III: Hardware, Robots, AI and Developer Tools - TechCrunch
- Microsoft reveals how it caught mutating Monero mining malware with machine learning - The Next Web [Last Updated On: December 1st, 2019] [Originally Added On: December 1st, 2019]
- The role of machine learning in IT service management - ITProPortal [Last Updated On: December 1st, 2019] [Originally Added On: December 1st, 2019]
- Workday talks machine learning and the future of human capital management - ZDNet [Last Updated On: December 1st, 2019] [Originally Added On: December 1st, 2019]
- Verification In The Era Of Autonomous Driving, Artificial Intelligence And Machine Learning - SemiEngineering [Last Updated On: December 1st, 2019] [Originally Added On: December 1st, 2019]
- Synthesis-planning program relies on human insight and machine learning - Chemical & Engineering News [Last Updated On: December 1st, 2019] [Originally Added On: December 1st, 2019]
- Here's why machine learning is critical to success for banks of the future - Tech Wire Asia [Last Updated On: December 1st, 2019] [Originally Added On: December 1st, 2019]
- The 10 Hottest AI And Machine Learning Startups Of 2019 - CRN: The Biggest Tech News For Partners And The IT Channel [Last Updated On: December 1st, 2019] [Originally Added On: December 1st, 2019]
- Onica Showcases Advanced Internet of Things, Artificial Intelligence, and Machine Learning Capabilities at AWS re:Invent 2019 - PR Web [Last Updated On: December 3rd, 2019] [Originally Added On: December 3rd, 2019]
- Machine Learning Answers: If Caterpillar Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? - Forbes [Last Updated On: December 3rd, 2019] [Originally Added On: December 3rd, 2019]
- Amazons new AI keyboard is confusing everyone - The Verge [Last Updated On: December 5th, 2019] [Originally Added On: December 5th, 2019]
- Exploring the Present and Future Impact of Robotics and Machine Learning on the Healthcare Industry - Robotics and Automation News [Last Updated On: December 5th, 2019] [Originally Added On: December 5th, 2019]
- 3 questions to ask before investing in machine learning for pop health - Healthcare IT News [Last Updated On: December 5th, 2019] [Originally Added On: December 5th, 2019]
- Amazon Wants to Teach You Machine Learning Through Music? - Dice Insights [Last Updated On: December 5th, 2019] [Originally Added On: December 5th, 2019]
- Measuring Employee Engagement with A.I. and Machine Learning - Dice Insights [Last Updated On: December 6th, 2019] [Originally Added On: December 6th, 2019]
- The NFL And Amazon Want To Transform Player Health Through Machine Learning - Forbes [Last Updated On: December 11th, 2019] [Originally Added On: December 11th, 2019]
- Scientists are using machine learning algos to draw maps of 10 billion cells from the human body to fight cancer - The Register [Last Updated On: December 11th, 2019] [Originally Added On: December 11th, 2019]
- Appearance of proteins used to predict function with machine learning - Drug Target Review [Last Updated On: December 11th, 2019] [Originally Added On: December 11th, 2019]
- Google is using machine learning to make alarm tones based on the time and weather - The Verge [Last Updated On: December 11th, 2019] [Originally Added On: December 11th, 2019]
- 10 Machine Learning Techniques and their Definitions - AiThority [Last Updated On: December 11th, 2019] [Originally Added On: December 11th, 2019]
- Taking UX and finance security to the next level with IBM's machine learning - The Paypers [Last Updated On: December 12th, 2019] [Originally Added On: December 12th, 2019]
- Government invests 49m in data analytics, machine learning and AI Ireland, news for Ireland, FDI,Ireland,Technology, - Business World [Last Updated On: December 12th, 2019] [Originally Added On: December 12th, 2019]
- Machine Learning Answers: If Nvidia Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? - Forbes [Last Updated On: December 12th, 2019] [Originally Added On: December 12th, 2019]
- Bing: To Use Machine Learning; You Have To Be Okay With It Not Being Perfect - Search Engine Roundtable [Last Updated On: December 12th, 2019] [Originally Added On: December 12th, 2019]
- IQVIA on the adoption of AI and machine learning - OutSourcing-Pharma.com [Last Updated On: December 12th, 2019] [Originally Added On: December 12th, 2019]
- Schneider Electric Wins 'AI/ Machine Learning Innovation' and 'Edge Project of the Year' at the 2019 SDC Awards - PRNewswire [Last Updated On: December 12th, 2019] [Originally Added On: December 12th, 2019]
- Industry Call to Define Universal Open Standards for Machine Learning Operations and Governance - MarTech Series [Last Updated On: December 12th, 2019] [Originally Added On: December 12th, 2019]
- Qualitest Acquires AI and Machine Learning Company AlgoTrace to Expand Its Offering - PRNewswire [Last Updated On: December 12th, 2019] [Originally Added On: December 12th, 2019]
- Automation And Machine Learning: Transforming The Office Of The CFO - Forbes [Last Updated On: December 12th, 2019] [Originally Added On: December 12th, 2019]
- Machine learning results: pay attention to what you don't see - STAT [Last Updated On: December 12th, 2019] [Originally Added On: December 12th, 2019]
- The challenge in Deep Learning is to sustain the current pace of innovation, explains Ivan Vasilev, machine learning engineer - Packt Hub [Last Updated On: December 15th, 2019] [Originally Added On: December 15th, 2019]
- Israelis develop 'self-healing' cars powered by machine learning and AI - The Jerusalem Post [Last Updated On: December 15th, 2019] [Originally Added On: December 15th, 2019]
- Theres No Such Thing As The Machine Learning Platform - Forbes [Last Updated On: December 15th, 2019] [Originally Added On: December 15th, 2019]
- Global Contextual Advertising Markets, 2019-2025: Advances in AI and Machine Learning to Boost Prospects for Real-Time Contextual Targeting -... [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- Machine Learning Answers: If Twitter Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? - Forbes [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- Tech connection: To reach patients, pharma adds AI, machine learning and more to its digital toolbox - FiercePharma [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- Machine Learning Answers: If Seagate Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? - Forbes [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- MJ or LeBron Who's the G.O.A.T.? Machine Learning and AI Might Give Us an Answer - Built In Chicago [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- Amazon Releases A New Tool To Improve Machine Learning Processes - Forbes [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- AI and machine learning platforms will start to challenge conventional thinking - CRN.in [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- What is Deep Learning? Everything you need to know - TechRadar [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- Machine Learning Answers: If BlackBerry Stock Drops 10% A Week, Whats The Chance Itll Recoup Its Losses In A Month? - Forbes [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- QStride to be acquired by India-based blockchain, analytics, machine learning consultancy - Staffing Industry Analysts [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- Dotscience Forms Partnerships to Strengthen Machine Learning - Database Trends and Applications [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- The Machines Are Learning, and So Are the Students - The New York Times [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- Kubernetes and containers are the perfect fit for machine learning - JAXenter [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- Data science and machine learning: what to learn in 2020 - Packt Hub [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- What is Machine Learning? A definition - Expert System [Last Updated On: December 20th, 2019] [Originally Added On: December 20th, 2019]
- Want to dive into the lucrative world of deep learning? Take this $29 class. - Mashable [Last Updated On: December 24th, 2019] [Originally Added On: December 24th, 2019]
- Another free web course to gain machine-learning skills (thanks, Finland), NIST probes 'racist' face-recog and more - The Register [Last Updated On: December 24th, 2019] [Originally Added On: December 24th, 2019]
- TinyML as a Service and machine learning at the edge - Ericsson [Last Updated On: December 24th, 2019] [Originally Added On: December 24th, 2019]
- Machine Learning in 2019 Was About Balancing Privacy and Progress - ITPro Today [Last Updated On: December 24th, 2019] [Originally Added On: December 24th, 2019]
- Ten Predictions for AI and Machine Learning in 2020 - Database Trends and Applications [Last Updated On: December 25th, 2019] [Originally Added On: December 25th, 2019]
- The Value of Machine-Driven Initiatives for K12 Schools - EdTech Magazine: Focus on Higher Education [Last Updated On: December 25th, 2019] [Originally Added On: December 25th, 2019]
- CMSWire's Top 10 AI and Machine Learning Articles of 2019 - CMSWire [Last Updated On: December 25th, 2019] [Originally Added On: December 25th, 2019]
- Machine Learning Market Accounted for US$ 1,289.5 Mn in 2016 and is expected to grow at a CAGR of 49.7% during the forecast period 2017 2025 - The... [Last Updated On: December 27th, 2019] [Originally Added On: December 27th, 2019]
- Are We Overly Infatuated With Deep Learning? - Forbes [Last Updated On: December 27th, 2019] [Originally Added On: December 27th, 2019]
- Can machine learning take over the role of investors? - TechHQ [Last Updated On: December 27th, 2019] [Originally Added On: December 27th, 2019]
- Dr. Max Welling on Federated Learning and Bayesian Thinking - Synced [Last Updated On: December 28th, 2019] [Originally Added On: December 28th, 2019]
- 2010 2019: The rise of deep learning - The Next Web [Last Updated On: January 4th, 2020] [Originally Added On: January 4th, 2020]
- Machine Learning Answers: Sprint Stock Is Down 15% Over The Last Quarter, What Are The Chances It'll Rebound? - Trefis [Last Updated On: January 4th, 2020] [Originally Added On: January 4th, 2020]
- Sports Organizations Using Machine Learning Technology to Drive Sponsorship Revenues - Sports Illustrated [Last Updated On: January 4th, 2020] [Originally Added On: January 4th, 2020]
- What is deep learning and why is it in demand? - Express Computer [Last Updated On: January 4th, 2020] [Originally Added On: January 4th, 2020]
- Byrider to Partner With PointPredictive as Machine Learning AI Partner to Prevent Fraud - CloudWedge [Last Updated On: January 4th, 2020] [Originally Added On: January 4th, 2020]
- Stare into the mind of God with this algorithmic beetle generator - SB Nation [Last Updated On: January 5th, 2020] [Originally Added On: January 5th, 2020]
- US announces AI software export restrictions - The Verge [Last Updated On: January 5th, 2020] [Originally Added On: January 5th, 2020]
- How AI And Machine Learning Can Make Forecasting Intelligent - Demand Gen Report [Last Updated On: January 5th, 2020] [Originally Added On: January 5th, 2020]
- Fighting the Risks Associated with Transparency of AI Models - EnterpriseTalk [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- NXP Debuts i.MX Applications Processor with Dedicated Neural Processing Unit for Advanced Machine Learning at the Edge - GlobeNewswire [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- Cerner Expands Collaboration with Amazon Web as its Preferred Machine Learning Provider - Story of Future [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- Can We Do Deep Learning Without Multiplications? - Analytics India Magazine [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- Machine learning is innately conservative and wants you to either act like everyone else, or never change - Boing Boing [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- Pear Therapeutics Expands Pipeline with Machine Learning, Digital Therapeutic and Digital Biomarker Technologies - Business Wire [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- FLIR Systems and ANSYS to Speed Thermal Camera Machine Learning for Safer Cars - Business Wire [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- SiFive and CEVA Partner to Bring Machine Learning Processors to Mainstream Markets - PRNewswire [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- Tiny Machine Learning On The Attiny85 - Hackaday [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- Finally, a good use for AI: Machine-learning tool guesstimates how well your code will run on a CPU core - The Register [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- AI, machine learning, and other frothy tech subjects remained overhyped in 2019 - Boing Boing [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- Chemists are training machine learning algorithms used by Facebook and Google to find new molecules - News@Northeastern [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- AI and machine learning trends to look toward in 2020 - Healthcare IT News [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]
- What Is Machine Learning? | How It Works, Techniques ... [Last Updated On: January 7th, 2020] [Originally Added On: January 7th, 2020]