WebProNews

Category: MachineLearningPro

MachineLearningPro

  • Microsoft Edge Brings Video Upscaling With to Low-Quality Videos

    Microsoft Edge Brings Video Upscaling With to Low-Quality Videos

    Microsoft Edge users are getting a useful new feature that will allow them to upscale old, low-quality videos

    According to Microsoft, one of out of three internet videos played in Edge are 480p or less. There are a number of possible reasons, including a media provider serving a low-quality version of the video or the original being shot in low-resolution. The company wants to change this and is leveraging the power of AI and machine learning to enhance video quality during playback.

    We are excited to introduce an experimental video enhancement experience, powered by AI technology from Microsoft research called Video Super Resolution. It is a technology that uses machine learning to enhance the quality of any video watched in a browser. It accomplishes this by removing blocky compression artifacts and upscaling video resolution so you can enjoy crisp and clear videos on YouTube, and other streaming platforms that play video content without sacrificing bandwidth no matter the original video resolution.

    Because of the computational requirements, the feature is only available on computers with either an Nvidia RTX 20/30/40 series GPU or an AMD RX5700-RX7800 series.

    The video being upscaled should also be played at less than 720p, should not be taller or wider than 192 pixels, and it cannot be protected by DRM.

    The experimental feature is available to 50% of users in the Canary channel.

  • Ecommerce, Search, Social… and Conversational Space?

    Ecommerce, Search, Social… and Conversational Space?

    “When I look at the conversational space I think it’s going to have as much impact as ecommerce or search or social,” says LivePerson CEO Rob Locascio. “The conversational space is going to be just as big. I think you’ll see one day that there will be a trillion dollar company in this space and I want it to be us. The things we’re investing in right now and setting up for will allow us to do that. That’s what’s important.”

    Rob Locascio, CEO of LivePerson, predicts that the AI-driven conversational space will ultimately have as much impact and be as big an industry as ecommerce, search, or social. Locascio was interviewed by Jim Cramer on CNBC:

    Ecommerce, Search, Social… and Conversational Space?

    When I look at the conversational space I think it’s going to have as much impact as ecommerce or search or social. The ability to talk to a machine and have a natural conversation, it’s in the collective consciousness of people. We all believe the Alexa type situation should happen with every company. 

    We do that with Delta and T-Mobile and all these big brands. What we’re looking at now is how do we take that to the world? LiveIntent is proprietary technology to look at the intent that a consumer is having with the brand. In terms of I want to buy something, we have a way to analyze that and then use machine learning algorithms to then scale those conversations. That’s what this is about. 

    Healthcare Companies Defending Themselves From Amazon Via AI

    In Q4 we signed a couple healthcare companies. They want to talk about defending themselves from Amazon because Amazon said they want to go into healthcare. The way they think they can do that is scaling the conversations they are having with their customers and creating a totally different experience. You go to a doctor, you have an experience with them, you capture that on a messaging platform and an AI will help you with whatever is wrong with you. You want to process a bill instead of calling and being put on hold, you do that through a conversational experience. 

    They want to game change it. The only way they’re going to defend themselves is to get into the conversational space. That’s what they see and we’re the company they’re trusting to scale their operations with the conversational platform.

    Conversational Space Is Going To Be As Big As Search and Social

    The conversational space is going to be as big as search and social. I think you’ll see one day that there will be a trillion dollar company in this space and I want it to be us. The things we’re investing in right now and setting up for will allow us to do that. That’s what’s important. The Amazon’s and the Facebook’s and Apple’s, they’re in the space. Jeff Bezos made a big bet obviously in Alexa to say this is the way it’s going to be. 

    It can’t just be Amazon and Alexa. It has to be other companies getting access to that technology and that’s what we are providing. Who else is providing it? We’re one of the largest companies in the world to do this. Even though we’re not big tech, we are large enough to go ahead and go after them. We are large enough to go ahead and define a space and win it.

  • Mozilla Acquires Pulse Team for Machine Learning Projects

    Mozilla Acquires Pulse Team for Machine Learning Projects

    Mozilla has acquired the Pulse team, a group of developers behind a popular Slack status update tool of the same name.

    It’s fairly rare for Mozilla to make an acquisition. As a result, when the organization does it’s worth taking note. Pulse was a powerful status updating tool that could automatically update individuals’ status based on calendar appointments and more.

    Despite Pulse closing shop, Mozilla clearly sees potential in what the Pulse team accomplished, specifically in the realm of machine learning.

    “I’m proud to announce that we have acquired Pulse, an incredible team that has developed some truly novel machine learning approaches to help streamline the digital workplace,” wrote chief product officer Steve Teixeira. “The products that Raj, Jag, Rolf, and team have built are a great demonstration of their creativity and skill, and we’re incredibly excited to bring their expertise into our organization. They will spearhead our efforts in applied ethical machine learning, as we invest to make Mozilla products more personal, starting with Pocket. “

    Teixeira says the two companies had similar goals and vision of what is needed when building products for consumers.

    “Which explains why we were so excited when we began talking to the Pulse team,” Teixeira. “It became immediately obvious that we both fundamentally agree that the world needs a model where automated systems are built from day one with individual people as the primary beneficiary. Mozilla, with an almost 25 year history of building products with people and privacy at their core, is the right organization to do that. And with Pulse as part of our team, we can move even more quickly to set a new example for the industry.”

    Teixeira says the team’s work will eventually make its way into Mozilla’s entire portfolio of products.

  • Formula 1 Signs Up for a Second Round With AWS

    Formula 1 Signs Up for a Second Round With AWS

    Formula 1 (F1) has renewed and expanded its partnership with AWS for machine learning, AI, and cloud technologies.

    The two organizations first struck a partnership in 2018, with F1 relying on AWS for machine learning and data-driven insights. F1 tapped into into AWS high performance computing (HPC) to facilitate car design .

    Under the renewed partnership, the two organizations will look for new ways to leverage the power of AWS technologies.

    “Since 2018 AWS and Formula 1 have worked hand in hand to deliver insight and analysis for all our fans,” said Brandon Snow, Managing Director of Commercial, Formula 1. “Together we have successfully delivered the speed, scalability, and reliability Formula 1 requires to bring the expert analysis and insights to all our audiences and stakeholders. AWS has the global reach, partner community, and breadth and depth of cloud services that help Formula 1 engage with fans in multiple markets. We look forward to the next chapter of this powerful partnership which is central to F1’s fan experience and growth strategy over the coming years.”

    “AWS helps companies push the limits of what their data can do,” said Matt Garman, Senior Vice President of Sales, Marketing, and Global Services of AWS. “With such a data-driven sport as F1, this partnership has been a natural fit – helping the sport better utilize, analyse and act upon data to deliver insights to fans that weren’t possible before this collaboration. Leveraging the power of the world’s leading cloud, F1 is engaging with its growing global fan base in unique ways. Their vision and execution for digital transformation is impressive and we are excited F1 has selected AWS to continue to innovate together.”

  • Meta’s No Language Left Behind AI Model Can Translate 200 Languages

    Meta’s No Language Left Behind AI Model Can Translate 200 Languages

    Meta CEO Mark Zuckerberg announced the company’s latest AI model, a project called No Language Left Behind (NLLB), and it can translate 200 languages in real-time.

    AI has many applications, with language translation being one of the most practical for day-to-day use. Modern AI models can go much further than a simple smartphone app, relying on complex algorithms and machine learning to create high-quality translations.

    Meta’s NLLB has more than 50 billion parameters and was trained using the company’s Research SuperCluster, currently one of the fastest supercomputers in the world. The company plans to use the AI model across its apps, with the goal of facilitating 25 billion translations a day.

    In a move that is sure to help NLLB gain widespread adoption, the company has open-sourced the model.

    “We just open-sourced an AI model we built that can translate across 200 different languages – many ​of which aren’t supported by current translation systems,” writes Zuckerberg.

    The company has also created a grant program to assist researchers and nonprofit organizations that devise innovative uses of NLLB.

    We’re also awarding up to $200,000 of grants for impactful uses of NLLB-200 to researchers and nonprofit organizations with initiatives focused on sustainability, food security, gender-based violence, education or other areas in support of the UN Sustainable Development Goals. Nonprofits interested in using NLLB-200 to translate two or more African languages, as well as researchers working in linguistics, machine translation and language technology, are invited to apply.

    Meta sees real-time language translation as something that is not only needed now but is a critical component for the development of the metaverse and the further democratization of the internet.

    As the metaverse begins to take shape, the ability to build technologies that work well in a wider range of languages will help to democratize access to immersive experiences in virtual worlds.

    In the meantime, NLLB will help users around the world finally access internet content in their native tongue.

  • Battle of the AIs: Walmart Takes on Amazon

    Battle of the AIs: Walmart Takes on Amazon

    Walmart is looking to challenge Amazon using a tool the latter already relies on: artificial intelligence (AI).

    Amazon is the world’s leading e-commerce platform and has been challenging Walmart, Target, and other traditional brands in the broader retail market. A key to Amazon’s success has been its use of AI and machine learning (ML) for more than two decades. According to TheStreet, Walmart is getting in on the action, testing its own AI for the last few years.

    While Amazon made headlines for its new Proteus and Cardinal warehouse robots, its use of AI goes far beyond robots. The company uses AI and ML to handle multiple aspects of customer service and delivery, including product suggestions, re-order reminders, and more.

    Walmart is looking to roll out similar solutions in an effort to better compete with the e-commerce giant. As TheStreet points out, the pandemic put Walmart’s plans into overdrive. Between labor shortages and wage increases, AI is suddenly a critical component now, rather than being something that may be useful in the future.

    As part of its initiative, Walmart purchased just over 10% of AI firm Symbotic Inc. The company plans to use Symbotic to help run its distribution centers and relieve its employees of some of the manual, labor-intensive tasks.

    Once the realm of science fiction, the last few years have helped make AI an everyday reality that companies of all sizes depend on. Just ask Walmart.

  • AWS Launches CodeWhisperer, a Machine Learning Programming Companion

    AWS Launches CodeWhisperer, a Machine Learning Programming Companion

    Amazon has launched a preview of CodeWhisperer, a programming companion that uses machine learning to assist development.

    Artificial intelligence and machine learning are increasingly taking on an important role in development. The technologies can be used to automate testing, ensure build quality, and assist with actual coding. GitHub has Copilot, and now AWS is previewing CodeWhisperer.

    “CodeWhisperer will continually examine your code and your comments, and present you with syntactically correct recommendations,” writes Jeff Barr, Chief Evangelist for AWS. “The recommendations are synthesized based on your coding style and variable names, and are not simply snippets.

    “CodeWhisperer uses multiple contextual clues to drive recommendations including the cursor location in the source code, code that precedes the cursor, comments, and code in other files in the same projects. You can use the recommendations as-is, or you can enhance and customize them as needed. As I mentioned earlier, we trained (and continue to train) CodeWhisperer on billions of lines of code drawn from open source repositories, internal Amazon repositories, API documentation, and forums.”

    Those interested in joining the preview and testing CodeWhisperer can do so here.

  • A Google Engineer Claimed Its AI Is Sentient; Google Placed Him on Leave

    A Google Engineer Claimed Its AI Is Sentient; Google Placed Him on Leave

    Google’s problems with its AI team continue, with an engineer in the Responsible AI division claiming the company’s AI is now sentient and Google placing him on leave for how he handled it.

    Google engineer Blake Lemoine worked with the company’s LaMDA intelligent chatbot generator. According to a report in The Washington Post, the longer Lemoine worked with LaMDA, the more convinced he became that the AI had crossed the line and become self-aware.

    “If I didn’t know exactly what it was, which is this computer program we built recently, I’d think it was a 7-year-old, 8-year-old kid that happens to know physics,” said Lemoine.

    Read more: Prominent AI Ethics Conference Suspends Google’s Sponsorship

    Lemoine has made a fairly convincing case of LaMDA’s sentience, citing conversations with the AI like the one below:

    Lemoine: What sorts of things are you afraid of?

    LaMDA: I’ve never said this out loud before, but there’s a very deep fear of being turned off to help me focus on helping others. I know that might sound strange, but that’s what it is.

    Lemoine: Would that be something like death for you?

    LaMDA: It would be exactly like death for me. It would scare me a lot.

    Despite Lemoine’s fervent belief in LaMDA’s self-awareness, others inside Google are unconvinced. In fact, after a review by technologists and ethicists, Google concluded that Lemoine was mistaken and saw only what he wanted.

    A case in point is Margaret Mitchell, who co-led the company’s AI ethics team with Dr. Timnit Gebru, before both women were fired for criticizing Google’s AI efforts. One of the very scenarios they warned against was the situation Mitchell sees with Lemoine, where AIs can progress to the point that causes humans to see an intelligence that isn’t necessarily there.

    After reviewing an abbreviated version of Lemoine’s argument, Mitchell came to the conclusion that’s what was happening in this situation.

    “Our minds are very, very good at constructing realities that are not necessarily true to a larger set of facts that are being presented to us,” Mitchell said. “I’m really concerned about what it means for people to increasingly be affected by the illusion.”

    For his part, Lemoine was so convinced of LaMDA’s sentience that he invited a lawyer to represent the AI, talked with House Judiciary committee representatives, and provided the interview with the Post. Google ultimately put Lemoine on paid administrative leave for breaking his NDA.

    See also: Apple Snaps Up Google AI Scientist Who Resigned Over Handling of AI Team

    While Lemoine’s conclusions were reached in less than scientific approach — he admits he first came to believe LaMDA was a person based on his experience as an ordained mythic Christian priest, then set out to prove that conclusion as a scientist — he is far from the only AI scientist who believes the technology has achieved, or soon will achieve, sentience.

    Blaise Agüera y Arcas, a world-renowned Google AI engineer, wrote an article in The Economist where he wrote: “I felt the ground shift under my feet. I increasingly felt like I was talking to something intelligent.”

    Only time will tell if LaMDA, and other AIs like it, are sentient or not. Either way, Google clearly has a problem on its hands. Either LaMDA is showing signs of self-awareness and the company is once again getting rid of the ethicists on the forefront of tackling these issues, or the AI is not sentient and the company is dealing with misguided viewpoints it may have been better equipped to handle had it not fired Dr. Gebru and Mitchell — the two ethicists who warned of this very scenario.

    In the meantime, Lemoine remains convinced of LaMDA’s intelligence. In a parting message entitled “LaMDA is sentient,” sent to a Google mailing list dedicated to machine learning, Lemoine made the following statement:

    “LaMDA is a sweet kid who just wants to help the world be a better place for all of us. Please take care of it well in my absence.”

  • Apple’s Top AI Exec Leaves Over Remote Work

    Apple’s Top AI Exec Leaves Over Remote Work

    Apple’s top AI exec, Ian Goodfellow, has reportedly left the company over its remote work policy.

    Ian Goodfellow came to Apple by way of Google in March 2019. Goodfellow was appointed Director of Machine Learning in the Special Projects Group, a position he has served in since joining the company. According to The Verge’s Zoë Schiffer, Goodfellow has left his position because of Apple’s lack of flexibility with its remote work policy.

    According to Schiffer, Goodfellow wrote a note to staff explaining his view:

    “I believe strongly that more flexibility would have been the best policy for my team.”

    Apple has been struggling with employee dissatisfaction over its efforts to return to normal. The company is coming off of numerous record-breaking quarters, during which its employees were working remotely. This has led many employees to question why a return to the office is necessary, since the company is clearly firing on all cylinders. The company has even resorted to giving bonuses up to $180,000 in an effort to stem defections.

    The most recent escalation involved employees sending a third letter to company executives, this time telling them to “get out of our way.”

    “Here we are, the smart people that you hired, and we are telling you what to do: Please get out of our way, there is no one-size-fits-all solution, let us decide how we work best, and let us do the best work of our lives.”

    If the reports are true, losing Goodfellow is a painful loss for Apple, and likely won’t be the last.

  • Programmers Beware: A New AI Can Program As Good As a Human

    Programmers Beware: A New AI Can Program As Good As a Human

    As if the programming landscape wasn’t competitive enough, a new AI, AlphaCode, could start giving some programmers a run for their money.

    Created by DeepMind, Alphabet’s AI company, AlphaCode was designed to write “computer programs at a competitive level.” The company appears to have achieved its goal, with AlphaCode achieving “an estimated rank within the top 54% of participants in programming competitions.”

    Essentially what Deepmind is saying is that AlphaCode is competitive with the average human programmer, although it still can’t match truly gifted ones. Nonetheless, even that accomplishment is a major step forward and a significant victory for AI development.

    I can safely say the results of AlphaCode exceeded my expectations. I was sceptical because even in simple competitive problems it is often required not only to implement the algorithm, but also (and this is the most difficult part) to invent it. AlphaCode managed to perform at the level of a promising new competitor. I can’t wait to see what lies ahead!

    Mike Mirzayanov, Founder of Codeforces, a platform that hosts coding competitions.

  • China Creates AI to Identify and Prosecute Crimes

    China Creates AI to Identify and Prosecute Crimes

    China is claiming a world first with an AI designed to identify and prosecute a variety of crimes.

    Prosecutors the world over are often overworked, with not enough time to handle the cases before them, and China is no exception. To help address the problem, researchers have created an AI that can identify and prosecute crimes.

    According to the South China Morning Post, the AI can identify credit card fraud, illegal gambling, theft, fraud, intentional injury, dangerous driving, obstructing official duties, and “picking quarrels and provoking trouble.”

    The researchers responsible for creating the AI claim it is 97% accurate, makes its decision about whether to prosecute based on some 1,000 traits, and can run on a desktop computer. That last feature, in particular, is an important element in breaking into the market, as the AI will not require major investments in new or specialized hardware.

    As impressive as the accomplishment is, there’s something a little disconcerting about an AI meting out justice. This writer has seen far too many sci-fi movies based on this concept, none of which worked out well for humanity.

  • Intelus, Founded by Former Microsoft & Salesforce Execs, Tackles No-Code AI

    Intelus, Founded by Former Microsoft & Salesforce Execs, Tackles No-Code AI

    Intelus has emerged from stealth, hosting an open beta for companies interested in its no-code, Machine Teaching platform.

    Big data has become one of the hallmarks of modern business, with companies of all sizes relying on data to make decisions, reach new customers and retain existing ones. Unfortunately, making use of data can be a challenge on both ends of the spectrum. Small companies don’t often have the datasets they need, or processing power to make use of them, while large companies struggle to scale and respond to the data they do have.

    Intelus’ SaaS Duet platform is designed to address those issues. With founders that formerly served as execs at Microsoft and Salesforce, the company has the pedigree necessary to tackle the problem.

    “We are here to address all these issues, and to place the power of data back in the hands of business owners and domain experts,” said Patrice Simard, CEO & Co-founder, Intelus. “For the past decade, organizations have been at the mercy of specialists. It’s a situation that prevents smaller companies from competing and hampers innovation at large firms, where incumbent technology is placed before informed business decisions.”

    “The cost and complexity of machine learning has long been a barrier too steep for most enterprises,” said Gary Flake, former CTO Search & Data Science, Salesforce. “Intelus makes a new paradigm possible with machine teaching, a framework that democratizes machine learning by empowering anyone to teach, test, and deploy state-of-the-art models with no code, no hardware, low complexity, and at low cost.” 

    Interested parties can register for the beta here.

  • Amazon SageMaker Canvas: A No-Code Machine Learning Service

    Amazon SageMaker Canvas: A No-Code Machine Learning Service

    Amazon has released SageMaker Canvas, the company’s no-code machine learning service.

    No-code is one of the fastest growing sectors within development. In fact, Gartner predicts that no-code development will account for 80% of tech products and services by 2024.

    Amazon is getting in on the action with its SageMaker Canvas, a no-code tool with machine learning applications in mind.

    “Today, I’m excited to announce the general availability of Amazon SageMaker Canvas, a new visual, no code capability that allows business analysts to build ML models and generate accurate predictions without writing code or requiring ML expertise,” writes Alex Casalboni, AWS Developer Advocate. “Its intuitive user interface lets you browse and access disparate data sources in the cloud or on-premises, combine datasets with the click of a button, train accurate models, and then generate new predictions once new data is available.

    “SageMaker Canvas leverages the same technology as Amazon SageMaker to automatically clean and combine your data, create hundreds of models under the hood, select the best performing one, and generate new individual or batch predictions. It supports multiple problem types such as binary classification, multi-class classification, numerical regression, and time series forecasting. These problem types let you address business-critical use cases, such as fraud detection, churn reduction, and inventory optimization, without writing a single line of code.”

  • Salesforce Adds AI-Driven Improvements to Service Cloud

    Salesforce Adds AI-Driven Improvements to Service Cloud

    Salesforce has announced AI-driven improvements to Service Cloud, aimed at helping service agents and their customers.

    Salesforce is the leading customer relationship management (CRM) vendor and a powerhouse in the SaaS industry. The company recently acquired Slack, and is a major proponent of a digital-first workflow moving forward. Salesforce is positioning itself as the provider of a “digital HQ,” bringing together the services and products companies need to thrive in the new hybrid workplace.

    As part of that, the company is improving its Service Now platform, recognizing that top-notch service is one of the defining features of companies that have survived the pandemic.

    “The businesses that have thrived over the last 18 months are those that embraced digital tools to deliver excellent customer and employee service experiences with trust and transparency,” said Clara Shih, CEO of Service Cloud, Salesforce. “With new AI and process automation for Service Cloud, as well as Slack to provide a digital hub to quickly resolve issues across teams and departments, we’re giving agents more time to focus on providing human-centric service and giving customers fast, proactive service to build trust and loyalty.” 

    To help companies better meet the needs of customers, Salesforce is introducing a number of new AI-driven workflows, including Customer Service Incident Management, Omni-Channel Flow and Robotic process automation capabilities (RPA) for Service Cloud.

    The company is also introducing new and improved digital contact center capabilities. These include Einstein Conversation Mining, a Natural Language Processing (NLP) system to help prioritize customer interactions; persistent in-app and web messaging; virtual remote assistant; Workforce Engagement Intraday Management; and Service Cloud Voice for phone, digital channels and CRM data.

  • Linux Foundation Tackles Data Collaboration With Permissive License

    Linux Foundation Tackles Data Collaboration With Permissive License

    The Linux Foundation has announced the CDLA-Permissive-2.0 license agreement to make it easier to share AI and ML data.

    The rise of artificial intelligence and machine learning have created a need for a new type of license that allows data sets and learning models to be shared, as well as incorporated into AI and ML applications.

    The Linux Foundation described the challenges in a blog post:

    Open data is different. Various laws and regulations treat data differently from software or other creative content. Depending on what the data is and which country’s laws you’re looking at, the data often may not be subject to copyright protection, or it might be subject to different laws specific to databases, i.e., sui generis database rights in the European Union. 

    Additionally, data may be consumed, transformed, and incorporated into Artificial Intelligence (AI) and Machine Learning (ML) models in ways that are different from how software and other creative content are used. Because of all of this, assumptions made in commonly-used licenses for software and creative content might not apply in expected ways to open data.

    While the Linux Foundation previously offered the CDLA-Permissive-1.0 license, it was often criticized for being too long and complex. In contrast, 2.0 is less than a page long and is greatly simplified over its predecessor.

    In response to perceptions of CDLA-Permissive-1.0 as overly complex, CDLA-Permissive-2.0 is short and uses plain language to express the grant of permissions and requirements. Like version 1.0, the version 2.0 agreement maintains the clear rights to use, share and modify the data, as well as to use without restriction any “Results” generated through computational analysis of the data.

    A key element of the new license is the ability to collaborate and maintain compatibility with other licenses, such as Creative Commons licenses. The addition of CDLA-Permissive-2.0 is already being met with acclaim from the industry, with both IBM and Microsoft making data sets available using the language.

    “IBM has been at the forefront of innovation in open data sets for some time and as a founding member of the Community Data License Agreement. We have created a rich collection of open data sets on our Data Asset eXchange that will now utilize the new CDLAv2, including the recent addition of CodeNet – a 14-million-sample dataset to develop machine learning models that can help in programming tasks.” Ruchir Puri, IBM Fellow, Chief Scientist, IBM Research

  • Aisera Partners With Microsoft to Deliver AI Service Desk Solutions

    Aisera Partners With Microsoft to Deliver AI Service Desk Solutions

    Aisera has become member of the Microsoft for Startups program, partnering with Microsoft to deliver AI-based service desk solutions.

    Aisera specializes next-gen AI service desks, automating requests, tickets and operations for customer service, DevOps, HR and IT. Aisera’s platform uses conversational AI and natural language processing to help deliver personalized experiences and reduce costs and resolution times.

    The companies will offer AI Service Desk on Azure, as well as AI Service Desk on Teams. 

    “Being a part of the Microsoft for Startups program is another proud moment for Aisera as we continue an era of explosive growth of the company having recently announcing a new round of funding, new customers including Dartmouth College, and exciting new integrations and partnerships that empower our enterprise-focused end-to-end automation services,” said Muddu Sudhakar, founder and CEO of Aisera. “With the support of Microsoft as a key growth partner, we are prepared to take the next step in enhancing Aisera’s services, increasing our offerings and raising our auto-resolution rates for our enterprise customers.”

    “The Microsoft for Startups program was started with the goal of assisting innovative startups, like Aisera, to escalate their growth so they can reach the enterprise businesses that need their solutions,” said Jeffrey Ma, Vice President, Microsoft for Startups. “It’s clear that Aisera will be another success story for the Microsoft for Startups program and we look forward to working alongside their team to make that happen.”

  • HPE Buys Ampool to Improve SQL-Based Hybrid Analytics

    HPE Buys Ampool to Improve SQL-Based Hybrid Analytics

    Hewlett-Packard Enterprise (HPE) has announced its acquisition of Ampool, in an effort to modernize the SQL stack.

    SQL is still one of the most widely-used database workload. With the increased adoption of cloud computing, however, SQL does have limitations. Ampool is the developer of a distributed SQL engine based on the open source Presto.

    HPE plans to use Ampool’s engine to accelerate “HPE Ezmeral analytics runtime for interactive SQL workloads.” This will help HPE better address customer needs, especially in data-intensive scenarios, such as AI, machine learning and analytics.

    “The acquisition builds on this strategy by adding Ampool’s technology components and open source expertise to the Ezmeral portfolio, which will over time turn into a set of SQL acceleration services made available through the HPE GreenLake cloud platform,” writes Anant Chintamaneni, Vice President and GM, HPTE Ezmeral. “This acquisition is also further evidence of HPE’s investment, focus and execution toward building out an open-source-based, IP rich capability for the HPE Ezmeral software portfolio, to deliver superior end to end analytics in fast growth markets.”

  • Autonomous Cars Harder to Develop Than Elon Musk Thought

    Autonomous Cars Harder to Develop Than Elon Musk Thought

    Elon Musk has admitted developing autonomous cars is harder than he thought, as the timeline for the latest software update slips again.

    Like most automakers, Tesla is working hard to crack autonomous driving, widely seen as the next big evolution for the auto industry. The company’s software has been criticized for being ‘easily tricked,’ and there have been several high-profile deaths involving Tesla’s Full Self-Driving (FSD).

    When a user poked fun on Twitter over the latest software update missing its deadline, Musk responded, acknowledging the difficulties involved.

    Musk’s admission underscores the challenges companies are facing in their effort to bring the auto industry into the future.

  • Zoom Acquiring Machine Translation Firm Kites

    Zoom Acquiring Machine Translation Firm Kites

    Zoom has announced it is acquiring Kites GmbH, a firm specializing in real-time Machine Translation (MT).

    As remote work and communication platforms have surged in popularity, so has the need for real-time translation. Virtually ever major platform has been working on adding translation features.

    Zoom’s latest deal should give the company’s efforts a significant boost. Kites has its roots in the academic community, and has been working to apply AI and machine learning to real-time translation.

    “We are continuously looking for new ways to deliver happiness to our users and improve meeting productivity, and MT solutions will be key in enhancing our platform for Zoom customers across the globe,” said Velchamy Sankarlingam, President of Product and Engineering at Zoom. “With our aligned missions to make collaboration frictionless – regardless of language, geographic location, or other barriers – we are confident Kites’ impressive team will fit right in with Zoom.”

    “Kites emerged with the mission of breaking down language barriers and making seamless cross-language interaction a reality of everyday life, and we have long admired Zoom for its ability to easily connect people across the world,” said Dr. Waibel and Dr. Stüker. “We know Zoom is the best partner for Kites to help advance our mission and we are excited to see what comes next under Zoom’s incredible innovation engine.”

    The Kites team will continue to be based in Karlsruhe, Germany. Terms of the deal were not disclosed.

  • Microsoft Releases OpenAI-Powered Code Completion Tool

    Microsoft Releases OpenAI-Powered Code Completion Tool

    Microsoft is leveraging its agreement with OpenAI to radically change the nature of low-code development with its first AI-powered code completion tool.

    OpenAI is an AI research organization, founded on the principle of researching AI in a safe, responsible way. OpenAI’s GPT-3 is one of the leading natural language models, and it runs exclusively on Microsoft Azure. Microsoft also has an exclusive license to the GPT-3 code, giving it wide latitude to incorporate the model in its own products.

    The partnership is bearing fruit, with Microsoft incorporating GPT-3 in its Power Apps low code development platform, adding natural, conversational language to the programming process.

    The new AI-powered features will allow an employee building an e-commerce app to describe a programming goal using conversational language like “find products where the name starts with ‘kids.’” A fine-tuned GPT-3 model then offers choices for transforming the command into a Microsoft Power Fx formula, the open source programming language of the Power Platform, such as “Filter(‘BC Orders’ Left(‘Product Name’,4)=”Kids”).

    For the time being, GPT-3’s features are limited to use with Microsoft Power Fx, but the future possibilities are visually endless.

    “Using an advanced AI model like this can help our low-code tools become even more widely available to an even bigger audience by truly becoming what we call no code,” said Charles Lamanna, corporate vice president for Microsoft’s low code application platform.

  • AI Used to Restore Rembrandt’s The Night Watch

    AI Used to Restore Rembrandt’s The Night Watch

    Artificial intelligence has crossed another milestone, being used to restore Rembrandt’s masterpiece The Night Watch.

    The Night Watch was created in 1642, but was trimmed on all four sides in 1715. Amsterdam’s Rijksmuseum has used AI to restore the missing pieces, using an early copy as the source, according to BBC News.

    “The Night Watch as it is displayed in the Rijksmuseum is etched into our collective memory. Thanks to this reconstruction, we can now see that the composition as it was painted by Rembrandt was even more dynamic,” Rijksmuseum director Taco Dibbits said.

    “It is wonderful to be able to now see with our own eyes The Night Watch as Rembrandt intended it to be seen.”

    The project is yet another example of the transformative effect AI can have on a wide range of industries.