Goto

Collaborating Authors

google claim


Google claims it is using A.I. to design chips faster than humans

#artificialintelligence

Google claims that it has developed artificial intelligence software that can design computer chips faster than humans can. The tech giant said in a paper in the journal Nature on Wednesday that a chip that would take humans months to design can be dreamed up by its new AI in less than six hours. The AI has already been used to develop the next iteration of Google's tensor processing unit chips, which are used to run AI-related tasks, Google said. "Our method has been used in production to design the next generation of Google TPU," wrote the authors of the paper, led by Google's co-heads of machine learning for systems, Azalia Mirhoseini and Anna Goldie. To put it another way, Google is using AI to design chips that can be used to create even more sophisticated AI systems.


Google claims it is using A.I. to design chips faster than humans

#artificialintelligence

Google claims that it has developed artificial intelligence software that can design computer chips faster than humans can. The tech giant said in a paper in the journal Nature on Wednesday that a chip that would take humans months to design can be dreamed up by its new AI in less than six hours. The AI has already been used to develop the latest iteration of Google's tensor processing unit chips, which are used to run AI-related tasks, Google said. "Our method has been used in production to design the next generation of Google TPU," wrote the authors of the paper, led by Google's head of machine learning for systems, Azalia Mirhoseini. To put it another way, Google is using AI to design chips that can be used to create even more sophisticated AI systems.


Here's how to pre-order Google's new Nest Hub

USATODAY - Tech Top Stories

It's official: there's a brand new Nest Hub in town--and it's available for pre-order now with a release date slated for March 30. The Nest Hub (second-gen) is the first new smart display from Google's smart home brand since the 2019 release of the Nest Hub Max. Pre-order the Nest Hub (second-gen) at Best Buy for $99.99 Google claims the second-gen Nest Hub offers 50% more bass over the first-gen smart screen, and is built with a machine learning chip (1.2 TeraOPS of processing power) that helps the built-in Google Assistant learn your most common commands and respond to them faster than ever before. It also uses Google's proprietary Soli Sensing technology that allows you to use gestures to play and pause video--a huge help when you're cooking. Like the Nest Hub and Nest Hub Max, the second-gen hub supports popular streaming services like Netflix, YouTube TV, and Disney so you can keep up with all of your favorite shows.


Google claims its new TPUs are 2.7 times faster than the previous generation

#artificialintelligence

Google's fourth-generation tensor processing units (TPUs), the existence of which weren't publicly revealed until today, can complete AI and machine learning training workloads in close-to-record wall clock time. That's according to the latest set of metrics released by MLPerf, the consortium of over 70 companies and academic institutions behind the MLPerf suite for AI performance benchmarking. It shows clusters of fourth-gen TPUs surpassing the capabilities of third-generation TPUs -- and even those of Nvidia's recently released A100 -- on object detection, image classification, natural language processing, machine translation, and recommendation benchmarks. Google says its fourth-generation TPU offers more than double the matrix multiplication TFLOPs of a third-generation TPU, where a single TFLOP is equivalent to 1 trillion floating-point operations per second. It also offers a "significant" boost in memory bandwidth while benefiting from unspecified advances in interconnect technology.


Google claims its AI system can grade prostate cancer samples with 72% accuracy

#artificialintelligence

In a study published today in the journal JAMA Oncology, Google researchers claim to have developed an AI system that accurately identifies signs of prostate cancer in biopsies. Building on an algorithm that grades large, surgically removed cancerous segments of prostates, they say their system -- which was developed with support from the Naval Medical Center in San Diego and Verily, Alphabet's life sciences division -- works on the smaller samples extracted during the initial part of cancer care to get diagnoses and prognoses. Prostate cancer biopsies are commonly taken to better evaluate tumors' aggressiveness. The Gleason score, a grading system that classifies cancer cells based on how closely they resemble normal prostate gland tissue, is used to detect problematic masses. But determining which of three Gleason patterns a tumor falls into and assigning a grade based on the relative amounts of pattern in the whole sample is a challenging task -- one that relies on subjective visual inspection and experience.


Google claims its AI can design computer chips in under 6 hours

#artificialintelligence

In a preprint paper coauthored by Google AI lead Jeff Dean, scientists at Google Research and the Google chip implementation and infrastructure team describe a learning-based approach to chip design that can learn from past experience and improve over time, becoming better at generating architectures for unseen components. They claim it completes designs in under six hours on average, which is significantly faster than the weeks it takes human experts in the loop. While the work isn't entirely novel -- it builds upon a technique proposed by Google engineers in a paper published in March -- it advances the state of the art in that it implies the placement of on-chip transistors can be largely automated. If made publicly available, the Google researchers' technique could enable cash-strapped startups to develop their own chips for AI and other specialized purposes. Moreover, it could help to shorten the chip design cycle to allow hardware to better adapt to rapidly evolving research.


Google claims its new chatbot Meena is the best in the world

#artificialintelligence

When was the last time you had a "conversation" with Siri or Alexa that was satisfactory? The primary reason is that while these assistants or bots have improved a lot, their conversational ability is still quite limited. But Google claims its new chatbot, called Meena, is the hot shit and it can talk to you about anything on earth -- just like with any human. Google says the conversational neural network with 2.6 billion parameters can chat with people better than any AI generator out there. The team trained the model with 40 billion words -- 341 GB of text data including social media conversations -- using the seq2seq model.


Google Claims Its AI Breast Cancer Screening Outperforms Human Experts

#artificialintelligence

Google Health and Alphabet subsidiary DeepMind published research Wednesday showing impressive advances in AI-based breast cancer screening. Working with U.K. and U.S. clinical researchers, Google's team claims its AI system outperformed expert radiologists in most screening mammograms. To train the AI system, the research team used over 90,000 de-identified mammograms, then evaluated its performance on mammograms from 25,856 British women and 3,097 American women. They compared the AI model's predictions against the actual cases of biopsy-proven breast cancer. The AI system reduced false positives by 5.7% and false negatives by 9.4% for U.S. patients.


Can technology help in dealing with natural disasters? - Express Computer

#artificialintelligence

Every year during the monsoon period, India faces a deluge of floods. Almost every year, it is common to see one or two Indian states being badly affected by floods. Most recently, in Bihar, more than 1,400 villages in 15 districts were marooned due to flooding. In 2019 alone, more than 13 Indian states (Kerala, Gujarat, Karnataka, Maharashtra, Madhya Pradesh, Andhra Pradesh, Odisha) have been affected due to floods. Government reports state that this year has been witness to the heaviest monsoon rains to wreck havoc in India in the last 25 years.


Can technology help in dealing with natural disasters? - Express Computer

#artificialintelligence

Every year during the monsoon period, India faces a deluge of floods. Almost every year, it is common to see one or two Indian states being badly affected by floods. Most recently, in Bihar, more than 1,400 villages in 15 districts were marooned due to flooding. In 2019 alone, more than 13 Indian states (Kerala, Gujarat, Karnataka, Maharashtra, Madhya Pradesh, Andhra Pradesh, Odisha) have been affected due to floods. Government reports state that this year has been witness to the heaviest monsoon rains to wreck havoc in India in the last 25 years.