Weekly Tech News related to Google’s Next Pixels and Custom In-House Processor, Swiggy at $5 Billion Valuation, CRED at $2.2 Billion Valuation, Deep Learning Networks Preferring the Human Voice, Screening Skin Disease on Laptop, Chaos to Protect Devices, Robots Aware of Human Co-Workers, AI-Alzheimer’s-Cancer, Practical Semiconductor Spintronics
Note: None of the news bits (and cover picture) given here are written/owned by NewAnced's authors. The links on each of the news bits will redirect to the news source. Content given under each headline is a basic gist and not the full story.
Source: The Verge 2 Apr 2021
Google’s next Pixel flagship — the presumably named “Pixel 6” — will reportedly feature a Google-designed GS101 “Whitechapel” SoC (system on a chip), a first for the company, as reported by 9to5Google and XDA-Developers. 9to5Google’s report claims Google is working on two phones that will feature the Arm-based GS101 — presumed to be a flagship device to succeed last year’s Pixel 5 and a Pixel 4A 5G follow-up.
Original written by: Chaim Gartenberg
Source: TechCrunch 5 Apr 2021
Swiggy has raised about $800 million in a new financing round, the Indian food delivery startup told employees on Monday, as it looks to expand its business in the country quarters after the startup cut its workforce to navigate the pandemic.
Original written by: Manish Singh
Source: TechCrunch 6 Apr 2021
Two-year-old CRED has become the youngest Indian startup to be valued at $2 billion or higher. Bangalore-based CRED said on Tuesday it has raised $215 million in a new funding round — a Series D — that valued the Indian startup at $2.2 billion (post-money), up from about $800 million valuation in the $81 million Series C round in January this year.
Original written by: Manish Singh
Source: Columbia University School of Engineering and Applied Science 6 Apr 2021
A new study proves that artificial intelligence systems might actually reach higher levels of performance if they are programmed with sound files of human language rather than with numerical data labels. The researchers discovered that in a side-by-side comparison, a neural network whose “training labels” consisted of sound files reached higher levels of performance in identifying objects in images, compared to another network that had been programmed in a more traditional manner, using simple binary inputs.
Original written by: Holly Evarts
Source: University of Houston 6 Apr 2021
Researchers report a new deep neural network architecture that provides early diagnosis of systemic sclerosis (SSc), a rare autoimmune disease marked by hardened or fibrous skin and internal organs. The proposed network, implemented using a standard laptop computer (2.5 GHz Intel Core i7), can immediately differentiate between images of healthy skin and skin with systemic sclerosis.
Original written by: Laurie Fickman
Source: Ohio State University 7 Apr 2021
Researchers have found a way to use chaos to help develop digital fingerprints for electronic devices that may be unique enough to foil even the most sophisticated hackers. The researchers created a new version of an emerging technology called physically unclonable functions, or PUFs, that are built into computer chips.
Original written by: Jeff Grabmeie
Source: KTH, Royal Institute of Technology 7 Apr 2021
Working safely is not only about processes, but context – understanding the work environment and circumstances, and being able to predict what other people will do next. A new system empowers robots with this level of context awareness, so they can work side-by-side with humans on assembly lines more efficiently and without unnecessary interruptions.
Source: St John's College, University of Cambridge 8 Apr 2021
Powerful algorithms used by Netflix, Amazon and Facebook can ‘predict’ the biological language of cancer and neurodegenerative diseases like Alzheimer's, scientists have found. They found the machine-learning technology could decipher the ‘biological language’ of cancer, Alzheimer’s, and other neurodegenerative diseases. Their study could be used in the future to ‘correct the grammatical mistakes inside cells that cause disease’.
Source: Linköping University 8 Apr 2021
It may be possible in the future to use information technology where electron spin is used to process information in quantum computers. It has long been the goal of scientists to be able to use spin-based quantum information technology at room temperature. Researchers have now constructed a semiconductor component in which information can be efficiently exchanged between electron spin and light – at room temperature and above.
Original written by: Karin Söderlund Leifler