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The AI-powered smartphone and what it means for developers - TechHQ


The unveiling of Qualcomm's new flagship chip -- the Snapdragon 888 -- this week for Android smartphones underlines just how big a role artificial intelligence (AI) capabilities will play in upcoming smartphones. Like how the recent iPhone 12 launch unpacked the tiny transistors and the AI advantages of Apple's new A14 Bionic chip – promising nearly 30% uptick in CPU, GPU, and AI-powered sensors performances – the Qualcomm Snapdragon 888 is the chipmaker's first 5-nanometer chip. The smaller transistors on these 5nm chips mean that performance gains are boosted up to 35% higher than previous generations, and the 888 also has its 5G modem built into it rather than a separate component in previous chips – which means that connectivity is also being enhanced alongside the processing and graphical capabilities. The combination of 5G coverage and AI-powered sensor input should be no slouch for the next-generation of topline Android devices, but AI will not just be enhancing the camera and other sensors. "Qualcomm's addition of a large AI accelerator and TinyML to its next-generation 5G mobile platform is a game-changer for 5G mobile devices," said Lian Jye Su, the principal analyst at tech market advisory firm, ABI Research.

Windows 10: Now you can use Cortana to find files on a PC


Microsoft has released a new Windows 10 preview for those on its Windows Insiders program that brings a few fixes and a new feature for Cortana, Microsoft's answer to Apple Siri and Amazon Alexa. Cortana has taken a backseat on Windows 10 these days but Microsoft has announced a new "file skill" in Cortana that's available for Insiders that helps users quickly open and find files. "You can now use Cortana on your PCs to translate their thoughts into direct actions to open and find files and save time spent navigating to apps/folders to locate and open files," says Brandon LeBlanc, program manager for the Windows Insider program. In other words, Cortana will help people find files using their voice rather than sifting through files by typing words. You can now ask the assistant to look for files based on parts of a file name, the author of file that needs to be found, or by asking it to find a recently edited file.

Windows 10 test uses Cortana's voice search to sift through your files


A version of the OS currently available to Insider program beta testers includes the ability to find files on your PC simply by asking for them. Enterprise users with OneDrive or SharePoint can also locate files in network drives that they have access to, but the key here is that it can find information without needing every specific detail. According to the blog post, just the part of a file name or name of an author can be enough for the AI to figure out which document you need. "Hey Cortana, opening marketing deck," and "Hey Cortana, open budget Excel from Anthony" are two examples, along with'find recent files" to pop up the last few items you've accessed. Build 20270 is now available for you in the Dev Channel.

Microsoft is testing a Cortana 'File Skill' to find files faster in Windows 10


Cortana may not be the personal assistant she once was, but a new update as part of the Windows Insider Dev Channel means that her capabilities to find files have improved. The new "File Skill" in the Cortana app appears in the new Windows 10 Insider Preview Build 20270, part of the Dev Channel. In this experimental app, Cortana's skills have been honed to the point where she can find files in the cloud, with a better understanding of what you're looking for. If your PC is enrolled in the Windows 10 May 2020 Update or later, some of these capabilities will already be available. As long as you have speech recognition enabled on your PC, you can ask Cortana "find my recent files," and it should unearth the last two or three files you've used on your PC.

Microsoft develops new system that can tell when employees are bored

Daily Mail - Science & tech

US technology giant Microsoft has patented a tech system that scores video chat participants' body language and facial expressions during calls. Microsoft's'Meeting Insight Computing System', as described in patent filings, is a mix of physical hardware and software that could be integrated into future Microsoft products, such as tablets. The system would use a combination of cameras, sensors, and software and even thermostats around the walls for both virtual and in-person meetings. It would monitor factors such as body language and facial expressions, picking up on signs indicating a drop in productivity like tiredness and boredom, as well as number of people in a meeting and even conditions like light and temperature. All this data would be used to create an overall'quality score' that would help inform the conditions of future virtual meetings, with the aim of maximising a business's productivity.

Salesforce rolls out Einstein Automate, aims to be automation, workflow, data integration player


Salesforce launched Einstein Automate, which aims to automate workflow and integrate data easily. Einstein Automate, which appears to be a mix of robotics process automation melded with MuleSoft tools to connect apps and orchestrate workflows, highlights how Salesforce is looking to leverage Customer 360 to be more of a process engine for companies. Salesforce's Einstein Automate will also complement Marc Benioff's vision behind the $27.7 billion Slack acquisition. Salesforce is hosting its virtual Dreamforce conference this week. The key parts of Einstein Automate include Flow Orchestrator, which is a low-code workflow development tool.

Top 50+ Artificial Intelligence Companies


Artificial Intelligence is quickly becoming one of the quintessential industries today and reshaping the world as we know it. It has proven its worth in different areas of work with an undeniable impact on the market. Siri to Alexa and self-driving cars to manufacturing-robots are just a few examples of what AI companies have achieved. Tech giants like Amazon, Google, Microsoft and Apple are putting their resources in Artificial Intelligence and are running the race of becoming the biggest artificial intelligence companies in the world. Organisations like NASA are now using artificial intelligence to make themselves even more efficient, a report says. Technical edge is the key to most of the businesses today. As big players are putting everything they have got to get that technical edge, small players may find it overwhelming, if not unfair, to compete with them. Apart from these giants, there are several AI companies which have shown the potential of changing the world and solve the possible disparity some companies may experience due to their technical prowess.

The Anatomy of AI: Understanding Data Processing Tasks


But as your data scientists and data engineers quickly realize, building a production AI system is a lot easier said than done, and there are many steps to master before you get that ML magic. At a high level, the anatomy of AI is fairly simple. You start with some data, train a machine learning model upon it, and then position the model to infer on real-world data. Unfortunately, as the old saying goes, the devil is in the details. And in the case of AI, there are a lot of small details you have to get right before you can claim victory.

New Artificial Intelligence Instrument: GPT 3 and Legal Evaluation


Undoubtedly, one of the artificial intelligence models that have left its mark on the last period is GPT-3, in other words, Generative Pre-trained Transformer, Productive Pre-Processed Transformer 3 model in Turkish. GPT-3 was developed by OpenAI which is called an artificial intelligence R&D company that includes computer experts and investors such as Elon Musk, CEO of companies such as SpaceX Tesla, Sam Altman, known for her initiatives Loopt, Y Combinator, and Ilya Sutskever, one of the inventors of software and networks such as AlexNet, AlphaGo, TensorFlow, carries out projects and R & D studies in many groundbreaking areas, especially artificial intelligence. GPT-3 is defined as an autoregression language model that uses the deep learning method to produce content similar to texts and graphics are written and created by humans. It is stated that the system that processes data with "1.5" billion parameters in its previous version, GPT-2, will perform analysis with 175 billion parameters in GPT-3, so it can produce very advanced content. However, it is also stated that artificial intelligence that can produce such high quality and qualified content has many risks and can cause many problems.