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AI chip startup Axelera lands $27M in capital to commercialize its hardware

Several years ago, Fabrizio Del Maffeo and a core team from Imec, a Belgium-based nanotechnology lab, teamed up with Evangelos Eleftheriou and a group…

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Several years ago, Fabrizio Del Maffeo and a core team from Imec, a Belgium-based nanotechnology lab, teamed up with Evangelos Eleftheriou and a group of researchers at IBM Zurich Lab to develop a computer chip. Unlike conventional chips, theirs was destined for devices at the edge, particularly those running AI workloads, because Del Maffeo and the rest of the team perceived that most offline, at-the-edge computing hardware was inefficient and expensive.

After incubating a startup — Axelera AI — to commercialize their chip technology within the blockchain company Bitfury Group, Del Maffeo and team secured capital from VCs including Imec’s venture arm, Imex.xpand. Innovation Industries led a $27 million Series A in Axelera AI that closed this week with participation from Imec.xpand and the Federal Holding and Investment Company of Belgium. In addition, the Netherland Enterprise Agency awarded Axelera AI a $6.7 million loan commissioned by the Ministry of Economic Affairs and Climate Policy.

“One of the main challenges we’re facing is the availability and accessibility of AI to different groups and industries. Some businesses would benefit from AI, but don’t have the knowledge or technical expertise to integrate its benefits into day-to-day operations,” Del Maffeo told TechCrunch in an email interview. “We’re engineering the AI platform to help overcome this access barrier … [by] delivering a game-changing, user-friendly and scalable technology with superior performance and efficiency at a fraction of the cost of existing players to accelerate computing vision and natural language processing at the edge.”

Axelera is working to develop AI acceleration cards and systems for use cases like security, retail and robotics that it plans to sell through partners in the business-to-business edge computing and Internet of Things sectors. The cards and systems pack Axelera’s Thetis Core chip, which employs in-memory computing for AI computations — “in-memory” referring to running calculations in RAM to reduce the latency introduced by storage devices.

Axelera is also creating software to manage its chip, which Del Maffeo claims will be “fully integrated” with leading AI frameworks — e.g. PyTorch and TensorFlow — when it’s made available.

Axelera’s test chip for accelerating AI and machine learning workloads. Image Credits: Axelera

“We’re democratizing AI access,” Del Maffeo said. “When our product launches … we aim to [deliver] a chip that packs the power of an entire AI server.”

Axelera has a ways to go before it reaches commercialization, however. The company only last December produced its very first testbench chip, and Alexea doesn’t expect to begin delivering to customers until sometime during the first half of 2023.

It’s also not the first company pursuing an in-memory architecture for edge devices. NeuroBlade, which last October raised $83 million in capital, is developing chips that combine both compute and memory into a single hardware block for data processing. MemVerge, GigaSpaces, Hazelcast and H20.ai also offer in-memory solutions for AI, data analytics and machine learning applications.

But despite the fact that Axelera is both pre-market and pre-revenue and considering venture debt rounds moving forward, Del Maffeo believes that the company is well-positioned to nab a foothold in the market for custom AI chips. He notes that Jonathan Ballon, the former VP and general manager of Intel’s edge AI and Internet of Things group, is joining Axelera as chairman. And Del Maffeo points out that Axelera continues to hire aggressively, with close to 85 employees based in Europe, remotely and across the company’s offices in Eindhoven and Milan and R&D centers in Leuven and Zurich.

Following an expansion in the U.S. and Taiwan within the coming months, Del Maffeo expects Axelera will enter early 2023 with 130 to 140 employees.

“While the pandemic led to several shortages in the chip industry, we’ve been fortunate to see significant growth since we launched in 2021,” Del Maffeo said. “While we don’t disclose our burn rate, we can share that we’re well-positioned to raise a new investment round in 2023, significantly larger than our Series A, and we’re already receiving interest, including from more American investors, to help us bring the company to the next stage … We’re carefully building our customer base and partner ecosystem with a curated cohort of companies who have already shown strong interest in our AI platform. Later this year, we’ll also open a unique collaboration opportunity for leading companies to become early adopters of our AI platform.”

Assuming Axelera can deliver on its promises, it stands to make some serious cash. The edge AI hardware market is projected to grow from 920 million units in 2021 to 2.08 billion units by 2026 — a lucrative uptick. According to one estimate, the AI chips market alone is poised to be worth $73.49 billion by 2025.

AI chip startup Axelera lands $27M in capital to commercialize its hardware by Kyle Wiggers originally published on TechCrunch

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Digital Currency And Gold As Speculative Warnings

Over the last few years, digital currencies and gold have become decent barometers of speculative investor appetite. Such isn’t surprising given the evolution…

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Over the last few years, digital currencies and gold have become decent barometers of speculative investor appetite. Such isn’t surprising given the evolution of the market into a “casino” following the pandemic, where retail traders have increased their speculative appetites.

“Such is unsurprising, given that retail investors often fall victim to the psychological behavior of the “fear of missing out.” The chart below shows the “dumb money index” versus the S&P 500. Once again, retail investors are very long equities relative to the institutional players ascribed to being the “smart money.””

“The difference between “smart” and “dumb money” investors shows that, more often than not, the “dumb money” invests near market tops and sells near market bottoms.”

Net Smart Dumb Money vs Market

That enthusiasm has increased sharply since last November as stocks surged in hopes that the Federal Reserve would cut interest rates. As noted by Sentiment Trader:

“Over the past 18 weeks, the straight-up rally has moved us to an interesting juncture in the Sentiment Cycle. For the past few weeks, the S&P 500 has demonstrated a high positive correlation to the ‘Enthusiasm’ part of the cycle and a highly negative correlation to the ‘Panic’ phase.”

Investor Enthusiasm

That frenzy to chase the markets, driven by the psychological bias of the “fear of missing out,” has permeated the entirety of the market. As noted in This Is Nuts:”

“Since then, the entire market has surged higher following last week’s earnings report from Nvidia (NVDA). The reason I say “this is nuts” is the assumption that all companies were going to grow earnings and revenue at Nvidia’s rate. There is little doubt about Nvidia’s earnings and revenue growth rates. However, to maintain that growth pace indefinitely, particularly at 32x price-to-sales, means others like AMD and Intel must lose market share.”

Nvidia Price To Sales

Of course, it is not just a speculative frenzy in the markets for stocks, specifically anything related to “artificial intelligence,” but that exuberance has spilled over into gold and cryptocurrencies.

Birds Of A Feather

There are a couple of ways to measure exuberance in the assets. While sentiment measures examine the broad market, technical indicators can reflect exuberance on individual asset levels. However, before we get to our charts, we need a brief explanation of statistics, specifically, standard deviation.

As I discussed in “Revisiting Bob Farrell’s 10 Investing Rules”:

“Like a rubber band that has been stretched too far – it must be relaxed in order to be stretched again. This is exactly the same for stock prices that are anchored to their moving averages. Trends that get overextended in one direction, or another, always return to their long-term average. Even during a strong uptrend or strong downtrend, prices often move back (revert) to a long-term moving average.”

The idea of “stretching the rubber band” can be measured in several ways, but I will limit our discussion this week to Standard Deviation and measuring deviation with “Bollinger Bands.”

“Standard Deviation” is defined as:

“A measure of the dispersion of a set of data from its mean. The more spread apart the data, the higher the deviation. Standard deviation is calculated as the square root of the variance.”

In plain English, this means that the further away from the average that an event occurs, the more unlikely it becomes. As shown below, out of 1000 occurrences, only three will fall outside the area of 3 standard deviations. 95.4% of the time, events will occur within two standard deviations.

Standard Deviation Chart

A second measure of “exuberance” is “relative strength.”

“In technical analysis, the relative strength index (RSI) is a momentum indicator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The RSI is displayed as an oscillator (a line graph that moves between two extremes) and can read from 0 to 100.

Traditional interpretation and usage of the RSI are that values of 70 or above indicate that a security is becoming overbought or overvalued and may be primed for a trend reversal or corrective pullback in price. An RSI reading of 30 or below indicates an oversold or undervalued condition.” – Investopedia

With those two measures, let’s look at Nvidia (NVDA), the poster child of speculative momentum trading in the markets. Nvidia trades more than 3 standard deviations above its moving average, and its RSI is 81. The last time this occurred was in July of 2023 when Nvidia consolidated and corrected prices through November.

NVDA chart vs Bollinger Bands

Interestingly, gold also trades well into 3 standard deviation territory with an RSI reading of 75. Given that gold is supposed to be a “safe haven” or “risk off” asset, it is instead getting swept up in the current market exuberance.

Gold vs Bollinger Bands

The same is seen with digital currencies. Given the recent approval of spot, Bitcoin exchange-traded funds (ETFs), the panic bid to buy Bitcoin has pushed the price well into 3 standard deviation territory with an RSI of 73.

Bitcoin vs Bollinger Bands

In other words, the stock market frenzy to “buy anything that is going up” has spread from just a handful of stocks related to artificial intelligence to gold and digital currencies.

It’s All Relative

We can see the correlation between stock market exuberance and gold and digital currency, which has risen since 2015 but accelerated following the post-pandemic, stimulus-fueled market frenzy. Since the market, gold and cryptocurrencies, or Bitcoin for our purposes, have disparate prices, we have rebased the performance to 100 in 2015.

Gold was supposed to be an inflation hedge. Yet, in 2022, gold prices fell as the market declined and inflation surged to 9%. However, as inflation has fallen and the stock market surged, so has gold. Notably, since 2015, gold and the market have moved in a more correlated pattern, which has reduced the hedging effect of gold in portfolios. In other words, during the subsequent market decline, gold will likely track stocks lower, failing to provide its “wealth preservation” status for investors.

SP500 vs Gold

The same goes for cryptocurrencies. Bitcoin is substantially more volatile than gold and tends to ebb and flow with the overall market. As sentiment surges in the S&P 500, Bitcoin and other cryptocurrencies follow suit as speculative appetites increase. Unfortunately, for individuals once again piling into Bitcoin to chase rising prices, if, or when, the market corrects, the decline in cryptocurrencies will likely substantially outpace the decline in market-based equities. This is particularly the case as Wall Street can now short the spot-Bitcoin ETFs, creating additional selling pressure on Bitcoin.

SP500 vs Bitcoin

Just for added measure, here is Bitcoin versus gold.

Gold vs Bitcoin

Not A Recommendation

There are many narratives surrounding the markets, digital currency, and gold. However, in today’s market, more than in previous years, all assets are getting swept up into the investor-feeding frenzy.

Sure, this time could be different. I am only making an observation and not an investment recommendation.

However, from a portfolio management perspective, it will likely pay to remain attentive to the correlated risk between asset classes. If some event causes a reversal in bullish exuberance, cash and bonds may be the only place to hide.

The post Digital Currency And Gold As Speculative Warnings appeared first on RIA.

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Aging at AACR Annual Meeting 2024

BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging…

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BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging research. Aging is one of the most prominent journals published by Impact Journals

Credit: Impact Journals

BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging research. Aging is one of the most prominent journals published by Impact Journals

Impact Journals will be participating as an exhibitor at the American Association for Cancer Research (AACR) Annual Meeting 2024 from April 5-10 at the San Diego Convention Center in San Diego, California. This year, the AACR meeting theme is “Inspiring Science • Fueling Progress • Revolutionizing Care.”

Visit booth #4159 at the AACR Annual Meeting 2024 to connect with members of the Aging team.

About Aging-US:

Aging publishes research papers in all fields of aging research including but not limited, aging from yeast to mammals, cellular senescence, age-related diseases such as cancer and Alzheimer’s diseases and their prevention and treatment, anti-aging strategies and drug development and especially the role of signal transduction pathways such as mTOR in aging and potential approaches to modulate these signaling pathways to extend lifespan. The journal aims to promote treatment of age-related diseases by slowing down aging, validation of anti-aging drugs by treating age-related diseases, prevention of cancer by inhibiting aging. Cancer and COVID-19 are age-related diseases.

Aging is indexed and archived by PubMed/Medline (abbreviated as “Aging (Albany NY)”), PubMed CentralWeb of Science: Science Citation Index Expanded (abbreviated as “Aging‐US” and listed in the Cell Biology and Geriatrics & Gerontology categories), Scopus (abbreviated as “Aging” and listed in the Cell Biology and Aging categories), Biological Abstracts, BIOSIS Previews, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

Please visit our website at www.Aging-US.com​​ and connect with us:

  • Aging X
  • Aging Facebook
  • Aging Instagram
  • Aging YouTube
  • Aging LinkedIn
  • Aging SoundCloud
  • Aging Pinterest
  • Aging Reddit

Click here to subscribe to Aging publication updates.

For media inquiries, please contact media@impactjournals.com.


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NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

One month after the inflation outlook tracked…

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NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

One month after the inflation outlook tracked by the NY Fed Consumer Survey extended their late 2023 slide, with 3Y inflation expectations in January sliding to a record low 2.4% (from 2.6% in December), even as 1 and 5Y inflation forecasts remained flat, moments ago the NY Fed reported that in February there was a sharp rebound in longer-term inflation expectations, rising to 2.7% from 2.4% at the three-year ahead horizon, and jumping to 2.9% from 2.5% at the five-year ahead horizon, while the 1Y inflation outlook was flat for the 3rd month in a row, stuck at 3.0%. 

The increases in both the three-year ahead and five-year ahead measures were most pronounced for respondents with at most high school degrees (in other words, the "really smart folks" are expecting deflation soon). The survey’s measure of disagreement across respondents (the difference between the 75th and 25th percentile of inflation expectations) decreased at all horizons, while the median inflation uncertainty—or the uncertainty expressed regarding future inflation outcomes—declined at the one- and three-year ahead horizons and remained unchanged at the five-year ahead horizon.

Going down the survey, we find that the median year-ahead expected price changes increased by 0.1 percentage point to 4.3% for gas; decreased by 1.8 percentage points to 6.8% for the cost of medical care (its lowest reading since September 2020); decreased by 0.1 percentage point to 5.8% for the cost of a college education; and surprisingly decreased by 0.3 percentage point for rent to 6.1% (its lowest reading since December 2020), and remained flat for food at 4.9%.

We find the rent expectations surprising because it is happening just asking rents are rising across the country.

At the same time as consumers erroneously saw sharply lower rents, median home price growth expectations remained unchanged for the fifth consecutive month at 3.0%.

Turning to the labor market, the survey found that the average perceived likelihood of voluntary and involuntary job separations increased, while the perceived likelihood of finding a job (in the event of a job loss) declined. "The mean probability of leaving one’s job voluntarily in the next 12 months also increased, by 1.8 percentage points to 19.5%."

Mean unemployment expectations - or the mean probability that the U.S. unemployment rate will be higher one year from now - decreased by 1.1 percentage points to 36.1%, the lowest reading since February 2022. Additionally, the median one-year-ahead expected earnings growth was unchanged at 2.8%, remaining slightly below its 12-month trailing average of 2.9%.

Turning to household finance, we find the following:

  • The median expected growth in household income remained unchanged at 3.1%. The series has been moving within a narrow range of 2.9% to 3.3% since January 2023, and remains above the February 2020 pre-pandemic level of 2.7%.
  • Median household spending growth expectations increased by 0.2 percentage point to 5.2%. The increase was driven by respondents with a high school degree or less.
  • Median year-ahead expected growth in government debt increased to 9.3% from 8.9%.
  • The mean perceived probability that the average interest rate on saving accounts will be higher in 12 months increased by 0.6 percentage point to 26.1%, remaining below its 12-month trailing average of 30%.
  • Perceptions about households’ current financial situations deteriorated somewhat with fewer respondents reporting being better off than a year ago. Year-ahead expectations also deteriorated marginally with a smaller share of respondents expecting to be better off and a slightly larger share of respondents expecting to be worse off a year from now.
  • The mean perceived probability that U.S. stock prices will be higher 12 months from now increased by 1.4 percentage point to 38.9%.
  • At the same time, perceptions and expectations about credit access turned less optimistic: "Perceptions of credit access compared to a year ago deteriorated with a larger share of respondents reporting tighter conditions and a smaller share reporting looser conditions compared to a year ago."

Also, a smaller percentage of consumers, 11.45% vs 12.14% in prior month, expect to not be able to make minimum debt payment over the next three months

Last, and perhaps most humorous, is the now traditional cognitive dissonance one observes with these polls, because at a time when long-term inflation expectations jumped, which clearly suggests that financial conditions will need to be tightened, the number of respondents expecting higher stock prices one year from today jumped to the highest since November 2021... which incidentally is just when the market topped out during the last cycle before suffering a painful bear market.

Tyler Durden Mon, 03/11/2024 - 12:40

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